From 573fa430f5c81d85c6dec17700005eccdd375d2a Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Mon, 13 Jul 2026 22:17:09 -0400 Subject: [PATCH 01/18] initial --- advanced/backends/create_custom_backend.ipynb | 92 +++++++++++++++++++ 1 file changed, 92 insertions(+) create mode 100644 advanced/backends/create_custom_backend.ipynb diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb new file mode 100644 index 00000000..e2bd0cd2 --- /dev/null +++ b/advanced/backends/create_custom_backend.ipynb @@ -0,0 +1,92 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "286378eb", + "metadata": {}, + "source": [ + "# Create your own Xarray Backend\n", + "In this lesson, we will learn about and how to create your own custom xarray backend\n", + "\n", + ":::{admonition} Learning Goals\n", + "- Learn how to create your own custom backend\n", + "- Learn how to use a custom imageio backend to open a GIF\n", + ":::\n", + "\n", + "## Why should you create your own Xarray backend?\n", + "\n", + "- Allows you to use xarray's interface\n", + "- Easy integration with dask for lazy loading with Dask\n", + "- You don’t need to integrate any code in Xarray.\n" + ] + }, + { + "cell_type": "markdown", + "id": "75eb5a72", + "metadata": {}, + "source": [ + "## Setting up the BackendEntrypoint\n", + "\n", + "To set up our BackendEntrypoint we can implement a subclass of BackendEntrypoint and expose the `open_dataset` method.\n", + "\n", + "For this example we are going to use a simple `imageio` an image reader and write" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "517832e4", + "metadata": {}, + "outputs": [], + "source": [ + "from xarray.backends import BackendEntrypoint\n", + "import imageio as iio\n", + "import xarray as xr\n", + "import numpy as np\n", + "\n", + "class SimpleImageReader(BackendEntrypoint):\n", + " def open_dataset(\n", + " self,\n", + " filename_or_obj,\n", + " *,\n", + " drop_variables=None,\n", + " ):\n", + " img_arr = iio.read(filename_or_obj)\n", + " var = xr.Variable(dims=(\"x\"), data=img_arr)\n", + " coords = {\"x\": np.arange(img_arr.size)}\n", + " return xr.Dataset({\"foo\": var}, coords=coords)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6edc5965", + "metadata": {}, + "outputs": [], + "source": [ + "xr.open_dataset('img_data/test_precip.gif', engine=SimpleImageReader)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "xarray-tutorial:default (3.12.9)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 171148b7a75b95837a9e9a093ac5183ff7959aec Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 00:07:44 -0400 Subject: [PATCH 02/18] imagio --- advanced/backends/create_custom_backend.ipynb | 248 +++++++++++++++++- 1 file changed, 243 insertions(+), 5 deletions(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index e2bd0cd2..d4fbbe7d 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -11,6 +11,7 @@ ":::{admonition} Learning Goals\n", "- Learn how to create your own custom backend\n", "- Learn how to use a custom imageio backend to open a GIF\n", + "- Learn how to extend the imagegio backend to write out a GIF\n", ":::\n", "\n", "## Why should you create your own Xarray backend?\n", @@ -34,35 +35,272 @@ }, { "cell_type": "code", - "execution_count": 20, - "id": "517832e4", + "execution_count": 39, + "id": "0c20ac52", "metadata": {}, "outputs": [], "source": [ "from xarray.backends import BackendEntrypoint\n", + "\n", + "class MyBackendEntrypoint(BackendEntrypoint):\n", + " def open_dataset(\n", + " self,\n", + " filename_or_obj,\n", + " *,\n", + " drop_variables=None,\n", + " ):\n", + "\n", + " return my_open_dataset(filename_or_obj, drop_variables=drop_variables)\n" + ] + }, + { + "cell_type": "markdown", + "id": "062bd671", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a4317372", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'advanced'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m xarray\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m advanced.backends.imageio_ \u001b[38;5;28;01mimport\u001b[39;00m ImageIOBackend\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m imageio \u001b[38;5;28;01mas\u001b[39;00m iio\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m xarray \u001b[38;5;28;01mas\u001b[39;00m xr\n\u001b[32m 5\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m numpy \u001b[38;5;28;01mas\u001b[39;00m np\n", + "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'advanced'" + ] + } + ], + "source": [ + "import xarray\n", + "from advanced.backends.imageio_ import ImageIOBackend\n", "import imageio as iio\n", "import xarray as xr\n", "import numpy as np\n", "\n", - "class SimpleImageReader(BackendEntrypoint):\n", + "class SimpleImageWrtiter(ImageIOBackend):\n", " def open_dataset(\n", " self,\n", " filename_or_obj,\n", " *,\n", " drop_variables=None,\n", " ):\n", + " dims = ['time', 'height', 'width', 'color']\n", " img_arr = iio.read(filename_or_obj)\n", - " var = xr.Variable(dims=(\"x\"), data=img_arr)\n", + " var = xr.Variable(dims=dims, data=img_arr)\n", + " #coords = {\"x\": np.arange(img_arr.size)}\n", " coords = {\"x\": np.arange(img_arr.size)}\n", + " #coords = xr.Coordinates.from_xindex(time).assign(color=['red', 'green', 'blue'])\n", + " return xr.Dataset({\"foo\": var}, coords=coords)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "f19e73aa", + "metadata": {}, + "outputs": [], + "source": [ + "class BinaryBackend(xr.backends.BackendEntrypoint):\n", + " def open_dataset(\n", + " self,\n", + " filename_or_obj,\n", + " *,\n", + " drop_variables=None,\n", + " # backend specific parameter\n", + " dtype=np.int64,\n", + " ):\n", + " with open(filename_or_obj) as f:\n", + " arr = np.fromfile(f, dtype)\n", + "\n", + " var = xr.Variable(dims=(\"x\"), data=arr)\n", + " coords = {\"x\": np.arange(arr.size) * 10}\n", " return xr.Dataset({\"foo\": var}, coords=coords)" ] }, { "cell_type": "code", "execution_count": null, - "id": "6edc5965", + "id": "517832e4", "metadata": {}, "outputs": [], + "source": [ + "from xarray.backends import BackendEntrypoint\n", + "import imageio as iio\n", + "import xarray as xr\n", + "import numpy as np\n", + "\n", + "class SimpleImageReader(BackendEntrypoint):\n", + " import imageio.v3 as iio\n", + "\n", + " with iio.imopen(filename_or_obj, io_mode=\"r\") as f:\n", + " properties = f.properties()\n", + " metadata = f.metadata()\n", + "\n", + " dims = [\"time\", \"height\", \"width\", \"color\"]\n", + "\n", + " background = metadata[\"background\"]\n", + " duration = metadata[\"duration\"]\n", + " loop = metadata[\"loop\"]\n", + "\n", + " shape = properties.shape\n", + " dtype = properties.dtype\n", + "\n", + " if isinstance(duration, (int, float)):\n", + " time_values = np.timedelta64(duration, \"ms\") * np.arange(shape[0])\n", + " else:\n", + " time_values = np.array(duration, dtype=\"timedelta64[ms]\")\n", + "\n", + " time = xr.indexes.PandasIndex(pd.Index(time_values), dim=\"time\")\n", + "\n", + " backend_array = ImageIOBackendArray(\n", + " filename_or_obj=filename_or_obj,\n", + " shape=shape,\n", + " dtype=dtype,\n", + " lock=xr.backends.locks.SerializableLock(),\n", + " )\n", + " data = xr.core.indexing.LazilyIndexedArray(backend_array)\n", + "\n", + " var = xr.Variable(\n", + " dims=dims,\n", + " data=data,\n", + " attrs={\"loop\": loop},\n", + " encoding={\n", + " \"preferred_chunks\": dict(zip(dims, (1, *shape[1:]))),\n", + " \"fill_value\": background,\n", + " },\n", + " )\n", + " coords = xr.Coordinates.from_xindex(time).assign(color=[\"red\", \"green\", \"blue\"])\n", + "\n", + " return xr.Dataset({\"data\": var}, coords=coords)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06042e4c", + "metadata": {}, + "outputs": [], + "source": [ + "import xarray as xr\n", + "xr.open_dataset()" + ] + }, + { + "cell_type": "markdown", + "id": "66c99d6c", + "metadata": {}, + "source": [ + "import xarray asr xr" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "265d82f7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/gm/pz37_1hs3sv4c_wxjcyhhfnw0000gq/T/ipykernel_57860/714010001.py:1: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.\n", + " precip_gif_array = iio.imread(\n" + ] + }, + { + "data": { + "text/plain": [ + "array([[[254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " ...,\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254]],\n", + "\n", + " [[254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " ...,\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254]],\n", + "\n", + " [[254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " ...,\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254]],\n", + "\n", + " ...,\n", + "\n", + " [[254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " ...,\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254]],\n", + "\n", + " [[254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " ...,\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254]],\n", + "\n", + " [[254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " ...,\n", + " [254, 254, 254],\n", + " [254, 254, 254],\n", + " [254, 254, 254]]], shape=(480, 640, 3), dtype=uint8)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "precip_gif_array = iio.imread(\n", + " \"img_data/test_precip.gif\"\n", + ")\n", + "\n", + "precip_gif_array" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "6edc5965", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "Variable.__init__() missing 1 required positional argument: 'dims'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[38]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m xr.open_dataset(\u001b[33m'img_data/test_precip.gif'\u001b[39m, engine=SimpleImageReader)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/backends/api.py:613\u001b[39m, in \u001b[36mopen_dataset\u001b[39m\u001b[34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, create_default_indexes, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[39m\n\u001b[32m 601\u001b[39m decoders = _resolve_decoders_kwargs(\n\u001b[32m 602\u001b[39m decode_cf,\n\u001b[32m 603\u001b[39m open_backend_dataset_parameters=backend.open_dataset_parameters,\n\u001b[32m (...)\u001b[39m\u001b[32m 609\u001b[39m decode_coords=decode_coords,\n\u001b[32m 610\u001b[39m )\n\u001b[32m 612\u001b[39m overwrite_encoded_chunks = kwargs.pop(\u001b[33m\"\u001b[39m\u001b[33moverwrite_encoded_chunks\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m--> \u001b[39m\u001b[32m613\u001b[39m backend_ds = \u001b[30;43mbackend\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mopen_dataset\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 614\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mfilename_or_obj\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 615\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mdrop_variables\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mdrop_variables\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 616\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mdecoders\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 617\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 618\u001b[39m \u001b[30;43m\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 619\u001b[39m ds = _dataset_from_backend_dataset(\n\u001b[32m 620\u001b[39m backend_ds,\n\u001b[32m 621\u001b[39m filename_or_obj,\n\u001b[32m (...)\u001b[39m\u001b[32m 632\u001b[39m **kwargs,\n\u001b[32m 633\u001b[39m )\n\u001b[32m 634\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[37]\u001b[39m\u001b[32m, line 19\u001b[39m, in \u001b[36mSimpleImageReader.open_dataset\u001b[39m\u001b[34m(self, filename_or_obj, drop_variables)\u001b[39m\n\u001b[32m 15\u001b[39m \u001b[38;5;66;03m# shape = properties.shape\u001b[39;00m\n\u001b[32m 16\u001b[39m \u001b[38;5;66;03m# dtype = properties.dtype\u001b[39;00m\n\u001b[32m 17\u001b[39m img_arr = iio.read(filename_or_obj)\n\u001b[32m 18\u001b[39m \u001b[38;5;66;03m#img_arr.pro\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m19\u001b[39m var = xr.Variable(data=img_arr)\n\u001b[32m 20\u001b[39m \u001b[38;5;66;03m#coords = {\"x\": np.arange(img_arr.size)}\u001b[39;00m\n\u001b[32m 21\u001b[39m \u001b[38;5;66;03m#coords = xr.Coordinates.from_xindex(time).assign(color=['red', 'green', 'blue'])\u001b[39;00m\n\u001b[32m 22\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m xr.Dataset({\u001b[33m\"foo\"\u001b[39m: var})\n", + "\u001b[31mTypeError\u001b[39m: Variable.__init__() missing 1 required positional argument: 'dims'" + ] + } + ], "source": [ "xr.open_dataset('img_data/test_precip.gif', engine=SimpleImageReader)" ] From 07b8366416d74ab7d68231aafc26911b71b5e9a9 Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 04:28:06 -0400 Subject: [PATCH 03/18] custom backend --- _toc.yml | 1 + advanced/backends/create_custom_backend.ipynb | 1600 +++++++++++++++-- advanced/backends/io.gif | Bin 0 -> 3522340 bytes 3 files changed, 1420 insertions(+), 181 deletions(-) create mode 100644 advanced/backends/io.gif diff --git a/_toc.yml b/_toc.yml index 6d3447bd..aef901e6 100644 --- a/_toc.yml +++ b/_toc.yml @@ -87,6 +87,7 @@ parts: - file: advanced/backends/backends.md sections: - file: advanced/backends/intro-backends.ipynb + - file: advanced/backends/create_custom_backend.ipynb - file: advanced/backends/1.Backend_without_Lazy_Loading.ipynb - file: advanced/backends/2.Backend_with_Lazy_Loading.ipynb - file: advanced/backends/rasterio_backend.ipynb diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index d4fbbe7d..f0ac20ba 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -9,16 +9,17 @@ "In this lesson, we will learn about and how to create your own custom xarray backend\n", "\n", ":::{admonition} Learning Goals\n", - "- Learn how to create your own custom backend\n", - "- Learn how to use a custom imageio backend to open a GIF\n", - "- Learn how to extend the imagegio backend to write out a GIF\n", + "- Learn about xarray's support for custom backends\n", + "- Learn how to use a custom `imageio` backend to open and manipulate GIFs\n", + "- Learn how to extend the `imagegio` backend to write out a GIF\n", ":::\n", "\n", "## Why should you create your own Xarray backend?\n", "\n", "- Allows you to use xarray's interface\n", - "- Easy integration with dask for lazy loading with Dask\n", - "- You don’t need to integrate any code in Xarray.\n" + " - Attribute-like syntax, dict-like syntax and label based indexing\n", + "- You don’t need to integrate any code in Xarray\n", + "- Easy and fast!\n" ] }, { @@ -28,281 +29,1518 @@ "source": [ "## Setting up the BackendEntrypoint\n", "\n", - "To set up our BackendEntrypoint we can implement a subclass of BackendEntrypoint and expose the `open_dataset` method.\n", - "\n", - "For this example we are going to use a simple `imageio` an image reader and write" + "To set up a `BackendEntrypoint` we can implement a subclass of `BackendEntrypoint` and expose the `open_dataset` method to it. For this tutorial we have the `ImageIOBackend` already defined but we will extend the functionally to write GIFS." ] }, { "cell_type": "code", - "execution_count": 39, - "id": "0c20ac52", + "execution_count": 135, + "id": "1a5cce5e", "metadata": {}, "outputs": [], "source": [ - "from xarray.backends import BackendEntrypoint\n", - "\n", - "class MyBackendEntrypoint(BackendEntrypoint):\n", - " def open_dataset(\n", - " self,\n", - " filename_or_obj,\n", - " *,\n", - " drop_variables=None,\n", - " ):\n", - "\n", - " return my_open_dataset(filename_or_obj, drop_variables=drop_variables)\n" + "image_path = '../../advanced/backends/ocean.gif'\n", + "image_path = '../../advanced/backends/io.gif'\n" ] }, { "cell_type": "markdown", - "id": "062bd671", + "id": "e59fa2ff", "metadata": {}, - "source": [] + "source": [ + "We can write a simple image reader function that we can then plug into our `MyBackendEntrypoint` class. For this example we are going to use `imageio` an image reader and writer library. With `imageio` you can read an image file with `iio.imopen`\n", + "\n", + ":::{note}\n", + "The `ImageIOBackend` also defines a `ImageIOBackendArray` with basic indexing.\n", + ":" + ] }, { "cell_type": "code", - "execution_count": 3, - "id": "a4317372", + "execution_count": 136, + "id": "928df2fe", "metadata": {}, "outputs": [ { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'advanced'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m xarray\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m advanced.backends.imageio_ \u001b[38;5;28;01mimport\u001b[39;00m ImageIOBackend\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m imageio \u001b[38;5;28;01mas\u001b[39;00m iio\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m xarray \u001b[38;5;28;01mas\u001b[39;00m xr\n\u001b[32m 5\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m numpy \u001b[38;5;28;01mas\u001b[39;00m np\n", - "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'advanced'" - ] + "data": { + "text/plain": [ + "array([[[[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " ...,\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[168, 163, 184],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]]],\n", + "\n", + "\n", + " [[[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " ...,\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[168, 163, 184],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]]],\n", + "\n", + "\n", + " [[[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " ...,\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[168, 163, 184],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " ...,\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[168, 163, 184],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]]],\n", + "\n", + "\n", + " [[[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " ...,\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[168, 163, 184],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]]],\n", + "\n", + "\n", + " [[[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " [[184, 192, 230],\n", + " [184, 192, 230],\n", + " [184, 192, 230],\n", + " ...,\n", + " [198, 196, 227],\n", + " [198, 196, 227],\n", + " [198, 196, 227]],\n", + "\n", + " ...,\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[164, 163, 174],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]],\n", + "\n", + " [[168, 163, 184],\n", + " [164, 163, 174],\n", + " [164, 163, 174],\n", + " ...,\n", + " [183, 184, 199],\n", + " [183, 184, 199],\n", + " [183, 184, 199]]]], shape=(54, 640, 640, 3), dtype=uint8)" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "import xarray\n", - "from advanced.backends.imageio_ import ImageIOBackend\n", "import imageio as iio\n", - "import xarray as xr\n", - "import numpy as np\n", + "from xarray.backends import BackendEntrypoint\n", "\n", - "class SimpleImageWrtiter(ImageIOBackend):\n", + "def imageio_open(\n", + " filename_or_obj,\n", + "):\n", + " img = iio.imopen(filename_or_obj, io_mode=\"r\")\n", + " return img.read()\n", + "\n", + "imageio_open(image_path)\n", + "\n", + "class MyImageReader(BackendEntrypoint):\n", " def open_dataset(\n", " self,\n", " filename_or_obj,\n", " *,\n", " drop_variables=None,\n", " ):\n", - " dims = ['time', 'height', 'width', 'color']\n", - " img_arr = iio.read(filename_or_obj)\n", - " var = xr.Variable(dims=dims, data=img_arr)\n", - " #coords = {\"x\": np.arange(img_arr.size)}\n", - " coords = {\"x\": np.arange(img_arr.size)}\n", - " #coords = xr.Coordinates.from_xindex(time).assign(color=['red', 'green', 'blue'])\n", - " return xr.Dataset({\"foo\": var}, coords=coords)" + " return imageio_open(filename_or_obj)\n", + "\n", + "MyImageReader().open_dataset(image_path)" ] }, { - "cell_type": "code", - "execution_count": 41, - "id": "f19e73aa", + "cell_type": "markdown", + "id": "ccc8b9a3", "metadata": {}, - "outputs": [], "source": [ - "class BinaryBackend(xr.backends.BackendEntrypoint):\n", - " def open_dataset(\n", - " self,\n", - " filename_or_obj,\n", - " *,\n", - " drop_variables=None,\n", - " # backend specific parameter\n", - " dtype=np.int64,\n", - " ):\n", - " with open(filename_or_obj) as f:\n", - " arr = np.fromfile(f, dtype)\n", + "## Reading image data\n", "\n", - " var = xr.Variable(dims=(\"x\"), data=arr)\n", - " coords = {\"x\": np.arange(arr.size) * 10}\n", - " return xr.Dataset({\"foo\": var}, coords=coords)" + "Lets use our `ImageIOBackend` to open a GIF.\n" ] }, { "cell_type": "code", - "execution_count": null, - "id": "517832e4", + "execution_count": 137, + "id": "7d5f75ad", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { 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<xarray.Dataset> Size: 66MB\n",
+       "Dimensions:  (time: 54, height: 640, width: 640, color: 3)\n",
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+       "    data     (time, height, width, color) uint8 66MB ...
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\u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/backends/api.py:613\u001b[39m, in \u001b[36mopen_dataset\u001b[39m\u001b[34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, create_default_indexes, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[39m\n\u001b[32m 601\u001b[39m decoders = _resolve_decoders_kwargs(\n\u001b[32m 602\u001b[39m decode_cf,\n\u001b[32m 603\u001b[39m open_backend_dataset_parameters=backend.open_dataset_parameters,\n\u001b[32m (...)\u001b[39m\u001b[32m 609\u001b[39m decode_coords=decode_coords,\n\u001b[32m 610\u001b[39m )\n\u001b[32m 612\u001b[39m overwrite_encoded_chunks = kwargs.pop(\u001b[33m\"\u001b[39m\u001b[33moverwrite_encoded_chunks\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m--> \u001b[39m\u001b[32m613\u001b[39m backend_ds = \u001b[30;43mbackend\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mopen_dataset\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 614\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mfilename_or_obj\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 615\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mdrop_variables\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mdrop_variables\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 616\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mdecoders\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 617\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 618\u001b[39m \u001b[30;43m\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 619\u001b[39m ds = _dataset_from_backend_dataset(\n\u001b[32m 620\u001b[39m backend_ds,\n\u001b[32m 621\u001b[39m filename_or_obj,\n\u001b[32m (...)\u001b[39m\u001b[32m 632\u001b[39m **kwargs,\n\u001b[32m 633\u001b[39m )\n\u001b[32m 634\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[37]\u001b[39m\u001b[32m, line 19\u001b[39m, in \u001b[36mSimpleImageReader.open_dataset\u001b[39m\u001b[34m(self, filename_or_obj, drop_variables)\u001b[39m\n\u001b[32m 15\u001b[39m \u001b[38;5;66;03m# shape = properties.shape\u001b[39;00m\n\u001b[32m 16\u001b[39m \u001b[38;5;66;03m# dtype = properties.dtype\u001b[39;00m\n\u001b[32m 17\u001b[39m img_arr = iio.read(filename_or_obj)\n\u001b[32m 18\u001b[39m \u001b[38;5;66;03m#img_arr.pro\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m19\u001b[39m var = xr.Variable(data=img_arr)\n\u001b[32m 20\u001b[39m \u001b[38;5;66;03m#coords = {\"x\": np.arange(img_arr.size)}\u001b[39;00m\n\u001b[32m 21\u001b[39m \u001b[38;5;66;03m#coords = xr.Coordinates.from_xindex(time).assign(color=['red', 'green', 'blue'])\u001b[39;00m\n\u001b[32m 22\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m xr.Dataset({\u001b[33m\"foo\"\u001b[39m: var})\n", - "\u001b[31mTypeError\u001b[39m: Variable.__init__() missing 1 required positional argument: 'dims'" - ] + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "xr.open_dataset('img_data/test_precip.gif', engine=SimpleImageReader)" + "img_writer = SimpleImageWrtiter()\n", + "img_writer.to_giff(gif_ds, 'data', 'time', 'test_again.gif')" ] } ], diff --git a/advanced/backends/io.gif b/advanced/backends/io.gif new file mode 100644 index 0000000000000000000000000000000000000000..b404e3e5a9fcdef7bb898abdb76d0ede3bde7a46 GIT binary patch literal 3522340 zcmeF1MOPdO)2$OMxNGAMjXN|Bjk~+MI|KqGxVyW%gvLF%ySuw3xCGMQd4I*7+#1)Y z)~>axp1oz{r1=HRe!%>IdH(U~|JVQH2|zy)Vt)n@!IBdrP!qw^P~g&0ATa^HFwx;N z(UG!I;c`)-ax+o$0?GK;nD`m+B-p5B1XyH1yt4FI3OtlbY!oVd^lGfQTGEo*!aO=M z0=hyhhN|+$yd=hIU{g&ECth49LqlgVc4q@M7hO45OI!O*b)}nnw8L2Sk+ehtF3LWt$nmT(5F2yy1lBdz3-&6^;hSw#U3yF zp88+Cflj}iRr;L_`zxvk?AQiF1BQS88fonu89E&6m>Qct9UoYjj0~Qvs+wB8olcLP z3wK-!H(Z&&SpCYs+TONNUA}SjyqOWPIli(zIJ_6Cv{#z2w{&rs<#>MjLJ37tmeSOa z6jznvWMzl_{GS>qU*X{4KK=N_{6A&hF^#C~nO_@sBBaRo$yj*nhx$H@1 zgZPWt^Chw>0C;52)0tf568RRnS|FrSJH!fYq@`x{r(q3#%|)8ydY*BWah~52-9npd zol>4cTD?)8`R|Lcn$>fNg>%u$l>*`K4fF3%36}2rhM6+%LozhEj>hAO3(lIFsrWo= zFJ!?O{2oa2`2x8{O?V`PXD}8A@HK zbi7E4)01f zan`)`$ye^-Au|V|(HWZv+!ADXFpyfsdZJUo6B=MrX>EnAw#(?*6ol~t>>9%&^_^)( zyww~S+*9JCD$F!1^1LZizcwjErefJKBcdP^0G`UhTK1n7lE$6rsx$UM+=nOS{Zwsq^y}T z0Mjy)tMqJ;wW`k3bkZ5-1i$b=HC3hbI;A(GffFai(!|4+s!r(pK+6Py9g8br5M9kx z;}q}T8OSL1d7S(REh9;YlE|}VfO@%4Ty|YQ(rMGk#TZ?@^HYhl=xOxjP1hgnEalwu z&<>)2mCy^j-Zymw{hZ6{zq5UC1cnWrk}xEH25xz`PSP9W5NHG4@h+A^;;1^$Mu;^? zlKK2tL+yL~4qgG#H^wyCWj8?=?!QWmb*rng;%ciiYojv(j$Lnr#EJA1nY5Ck6WN!7 z7$1&}Vg@H0_O;FXBl?aLJBXWNGuCm`jYkp&H-hJif?G-SjCw5Vqezc;DZkAIuSa!3 zTXY>K(J{`QuGLJ>J9mCih7Bvc;A}H%WJt%K&ie^-HFR-1|kcTmP1M z@q9y?ME+uagN2`NLuf++zandD;EC!s;`F&LA0e_jzU%VV8rrSNOm)KKsfPx3z5}j1 zO?(sgG`|53lG$5+4fit|8@A=yL@%vx0JLu0)r9Y=^~MPnx(9Tt?GfBZMuP(;`9iR? zv+%Y;|MoLO5g!W^{TabKUD5^W!xamtEQ)Ddo4(O%%jO)Mti96PMU6lNWP#kqHFc z@UT^GqW9*WbQse+rbVSGF)VsvK|`*ws#~`dnVNhoSdFZqdT z4`rjdYE~@W91Inf!+QC9sf*A+BcJfRXLLpXR&m7LhsdTa+0lAehSI5=BMrO46lKsJ z^CNc7hFqLOM@7AnlwUKK+U^K`O6U(MNm@{6v^R66hry-bZz7p8FwQHCXr$zItV`Dp z(PK3(a&q0zmFZf`_rPm%H7QgvTOla`I^ESnYiKW=tGKYoXYEC5(-J&~N^(Fnk)qpL z$_A2C#sZ6Axs(I$4AAf{w-&!LkDL{v`*eNUq@OVf`O6$WPSdcZ0HpvClFS+Sbl#;z zX<&S~eGqr7FH~H#Xq*FmD39y z8=;tp%V@Y$qwqmXj-vK2X}CNR)$Ge{!Oel{FT*o7z3hu-f55b?Xrw&JiJ}Tch+0&l zw5B-}QqnXhjrR${$x~&mM zV#*ggSKCAl4P>ZZAj|--!!Vwy1t-y~zEh_KNSxK<$ulw;=&kwo;c|x&*CKzZ7EN-q zwcI03Kat>FRPLN6oc$_YL}*nB(?UR3^nhSpaMm0K<{L;4-tJ-0+Lb_9YAU_1U{VuY z$WfXY%JaHTL)@y_|M%2tI>^XwC&&!IQ0aRpxqis?UD|ptZx{6jx`-tk9s$5IGt0%0 zWc|8&smCKyNo`<)exBGIj7MXp@dK{p+E^n3XbudAdMTJwbBu@7| z$ot3Df`^?>bs}~~qGhF2Ub(cA1e?I@u*k+joO`taF%AYbFWp!JFxKF8UN({zhSRM? z{^$t5gWAAbJL%UbHqcjZLW69^%Ou%|iH*~dmicl#z0Bk+Je1BZgx+W!wJ@eEL(qX0 zV|d5EoPUytq)v13hLtq?Wk{yLR(eF%?xHCC&y1#mfM?N$L*pa zlF^S4u{$INd*M=6f5lw}i*BD@q+6a#%2U0=&^Tx5+pea`Kwu~AK=#(^*9ILpIrtY; z8~gCJy_*b4BZy1t;_Yp9Hnl!QFQeI#O{QkM)Lk|Fz){B{sba0hfW7ELxsc`yr^7Oe z(X_(sA8@&Zb5gu7&7y?oDNi`niHH9ab^iVqQ)s;M@&`MWZL(8&vJVfpnQ8D7Ggs%l zs|A|m--x*6#u!;tW{NI^fL%G#t{ZA27CTfjsdElZ4T=n}1Vmy}3b`G>{!2iAySD=Y zHF%ZtJ1|k^dyz4UWsMaXr^X~${l#0M8v2URX_+OzrYzw<$m+Psh zF71Pl&qZFN+^I#1??Y;%FB-G9Dj2#K!6theiv>QD|9;5K+bB(NjBvV$Oyjr05%+ZtzVQ?zE1- z?7Y|S6KhL8FTr`GbPny(WJdB-eWPOZ(TaeufqEDDN$!6cRCE!(pKP_@*4(S+g*v=2Ii59pKSyxj zNb}o9sGZ2+B9hd%IWiXcNmQ@^Y(2@oYLK>5nNxcr6q6@#hN?o{u+5+R4|!=zI6~Mf z{m;t%-OR|D$F%=gGAu0zPz@U8W}{yzVr&+zd^|6waBvK)2lEGebZv@S z@q=C$wRg$_twpj`{c;$!q#YBNdQoaDLXo5x*nr>MfF4RL8^pNpNQ@+|V~x$z9(ngQxIjatOjFl6Lj8>}{i9NzU6(B3 zbD|nYVv%}m-LXkrX<~j+bm)HKhK`jqgR32Z`W#&{i&yNBZ49O+Bh@)2-=aLkf{0!( zEUsA<);b`S?zd8;=-ixzH|Ui|8nNZm74QIY<|weMBtdn=M~O)nU#V zMd)c|!BTHyb=M?K<4JSTLY_|;1$*E!Ku>OjM30|DbR?Z_#Ylum<-(dJ$@ogSu0!bg zni!KVNj*fb1VdC$FT;+b!RKKn#gNQymHDq&jt5Gu0kAT|0h>}%e=nfTa>`VcUNXq! zBOX8CAwB02@e-bB6qfZctQaq-jLPOvSKbKqQ}NA%Flr+*h@+?(-7!QJe5Kgr^$B

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" ...,\n", - "\n", - "\n", - " [[[184, ..., 230],\n", - " ...,\n", - " [198, ..., 227]],\n", - "\n", - " ...,\n", - "\n", - " [[168, ..., 184],\n", - " ...,\n", - " [183, ..., 199]]]], shape=(54, 640, 640, 3), dtype=uint8)\n", + "[66355200 values with dtype=uint8]\n", "Coordinates:\n", " * time (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n", " * color (color) \u001b[39m\u001b[32m2\u001b[39m img_writer.to_giff(gif_ds, \u001b[33m'data'\u001b[39m, \u001b[33m'time'\u001b[39m, \u001b[33m'l.gif'\u001b[39m)\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 23\u001b[39m, in \u001b[36mSimpleImageWrtiter.to_giff\u001b[39m\u001b[34m(self, dataset, variable, time_dim, out_filename, **kwargs)\u001b[39m\n\u001b[32m 19\u001b[39m variable_da = dataset[variable]\n\u001b[32m 20\u001b[39m \n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m time \u001b[38;5;28;01min\u001b[39;00m variable_da[time_dim]:\n\u001b[32m 22\u001b[39m \u001b[38;5;66;03m#variable_da = variable_da.transpose(\"time\", \"width\", \"height\", \"color\")\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m to_plot = ax.pcolormesh(\n\u001b[32m 24\u001b[39m variable_da.height,\n\u001b[32m 25\u001b[39m variable_da.width,\n\u001b[32m 26\u001b[39m variable_da.sel(time=time),\n", + " \u001b[31m[... skipping hidden 1 frame]\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6894\u001b[39m, in \u001b[36mAxes.pcolormesh\u001b[39m\u001b[34m(self, alpha, norm, cmap, vmin, vmax, colorizer, shading, antialiased, *args, **kwargs)\u001b[39m\n\u001b[32m 6891\u001b[39m shading = mpl._val_or_rc(shading, \u001b[33m'\u001b[39m\u001b[33mpcolor.shading\u001b[39m\u001b[33m'\u001b[39m).lower()\n\u001b[32m 6892\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33medgecolors\u001b[39m\u001b[33m'\u001b[39m, \u001b[33m'\u001b[39m\u001b[33mnone\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m6894\u001b[39m X, Y, C, shading = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_pcolorargs\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43mpcolormesh\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 6895\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6896\u001b[39m coords = np.stack([X, Y], axis=-\u001b[32m1\u001b[39m)\n\u001b[32m 6898\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33msnap\u001b[39m\u001b[33m'\u001b[39m, mpl.rcParams[\u001b[33m'\u001b[39m\u001b[33mpcolormesh.snap\u001b[39m\u001b[33m'\u001b[39m])\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6419\u001b[39m, in \u001b[36mAxes._pcolorargs\u001b[39m\u001b[34m(self, funcname, shading, *args, **kwargs)\u001b[39m\n\u001b[32m 6416\u001b[39m shading = \u001b[33m'\u001b[39m\u001b[33mflat\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 6417\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) == \u001b[32m3\u001b[39m:\n\u001b[32m 6418\u001b[39m \u001b[38;5;66;03m# Check x and y for bad data...\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m6419\u001b[39m C = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masanyarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43m2\u001b[39;49m\u001b[30;43m]\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6420\u001b[39m \u001b[38;5;66;03m# unit conversion allows e.g. datetime objects as axis values\u001b[39;00m\n\u001b[32m 6421\u001b[39m X, Y = args[:\u001b[32m2\u001b[39m]\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/common.py:181\u001b[39m, in \u001b[36mAbstractArray.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 179\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[32m 180\u001b[39m copy = \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m181\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.array(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m, dtype=dtype, copy=copy)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/dataarray.py:803\u001b[39m, in \u001b[36mDataArray.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 790\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 791\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 792\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 793\u001b[39m \u001b[33;03m The array's data converted to numpy.ndarray.\u001b[39;00m\n\u001b[32m 794\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 801\u001b[39m \u001b[33;03m to this array may be reflected in the DataArray as well.\u001b[39;00m\n\u001b[32m 802\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m803\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvariable\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:555\u001b[39m, in \u001b[36mVariable.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 552\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 553\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 554\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m555\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43m_as_array_or_item\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_data\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:335\u001b[39m, in \u001b[36m_as_array_or_item\u001b[39m\u001b[34m(data)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_as_array_or_item\u001b[39m(data):\n\u001b[32m 322\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[32m 323\u001b[39m \u001b[33;03m it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[32m 324\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 333\u001b[39m \u001b[33;03m TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[32m 334\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m335\u001b[39m data = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mdata\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 336\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data.ndim == \u001b[32m0\u001b[39m:\n\u001b[32m 337\u001b[39m kind = data.dtype.kind\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:609\u001b[39m, in \u001b[36mExplicitlyIndexed.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 604\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__array__\u001b[39m(\n\u001b[32m 605\u001b[39m \u001b[38;5;28mself\u001b[39m, dtype: DTypeLike | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m, /, *, copy: \u001b[38;5;28mbool\u001b[39m | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 606\u001b[39m ) -> np.ndarray:\n\u001b[32m 607\u001b[39m \u001b[38;5;66;03m# Leave casting to an array up to the underlying array type.\u001b[39;00m\n\u001b[32m 608\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m Version(np.__version__) >= Version(\u001b[33m\"\u001b[39m\u001b[33m2.0.0\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m609\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m, dtype=dtype, copy=copy)\n\u001b[32m 610\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 611\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[38;5;28mself\u001b[39m.get_duck_array(), dtype=dtype)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:976\u001b[39m, in \u001b[36mMemoryCachedArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 975\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget_duck_array\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m976\u001b[39m duck_array = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 977\u001b[39m \u001b[38;5;66;03m# ensure the array object is cached in-memory\u001b[39;00m\n\u001b[32m 978\u001b[39m \u001b[38;5;28mself\u001b[39m.array = as_indexable(duck_array)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:930\u001b[39m, in \u001b[36mCopyOnWriteArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 929\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget_duck_array\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m930\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:770\u001b[39m, in \u001b[36mLazilyIndexedArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 767\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mxarray\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mbackends\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mcommon\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m BackendArray\n\u001b[32m 769\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m.array, BackendArray):\n\u001b[32m--> \u001b[39m\u001b[32m770\u001b[39m array = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m]\u001b[39;49m\n\u001b[32m 771\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 772\u001b[39m array = apply_indexer(\u001b[38;5;28mself\u001b[39m.array, \u001b[38;5;28mself\u001b[39m.key)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:38\u001b[39m, in \u001b[36mImageIOBackendArray.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 37\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__getitem__\u001b[39m(\u001b[38;5;28mself\u001b[39m, key: \u001b[38;5;28mtuple\u001b[39m[IndexerType]):\n\u001b[32m---> \u001b[39m\u001b[32m38\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mexplicit_indexing_adapter\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 39\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 40\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mshape\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 41\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mIndexingSupport\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mBASIC\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 42\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mbasic_indexing\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 43\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:1162\u001b[39m, in \u001b[36mexplicit_indexing_adapter\u001b[39m\u001b[34m(key, shape, indexing_support, raw_indexing_method)\u001b[39m\n\u001b[32m 1140\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Support explicit indexing by delegating to a raw indexing method.\u001b[39;00m\n\u001b[32m 1141\u001b[39m \n\u001b[32m 1142\u001b[39m \u001b[33;03mOuter and/or vectorized indexers are supported by indexing a second time\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1159\u001b[39m \u001b[33;03mIndexing result, in the form of a duck numpy-array.\u001b[39;00m\n\u001b[32m 1160\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 1161\u001b[39m raw_key, numpy_indices = decompose_indexer(key, shape, indexing_support)\n\u001b[32m-> \u001b[39m\u001b[32m1162\u001b[39m result = \u001b[30;43mraw_indexing_method\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mraw_key\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mtuple\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 1163\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m numpy_indices.tuple:\n\u001b[32m 1164\u001b[39m \u001b[38;5;66;03m# index the loaded duck array\u001b[39;00m\n\u001b[32m 1165\u001b[39m indexable = as_indexable(result)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:9\u001b[39m, in \u001b[36mbasic_indexing\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 0\u001b[39m \n", + "\u001b[31mTypeError\u001b[39m: PillowPlugin.read() got an unexpected keyword argument 'writable'" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "img_writer = SimpleImageWrtiter()\n", "img_writer.to_giff(gif_ds, 'data', 'time', 'io_writer.gif')" From 8bc77664ece39bcd765b0e23f51443386f5b7cfc Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 14 Jul 2026 09:22:38 +0000 Subject: [PATCH 08/18] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- advanced/backends/create_custom_backend.ipynb | 1270 +---------------- 1 file changed, 16 insertions(+), 1254 deletions(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 648ec381..78ae948b 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "2", "metadata": {}, "outputs": [], @@ -56,21 +56,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "4", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "numpy.ndarray" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "import imageio as iio\n", "from xarray.backends import BackendEntrypoint\n", @@ -111,584 +100,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "6", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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<xarray.Dataset> Size: 66MB\n",
-       "Dimensions:  (time: 54, height: 640, width: 640, color: 3)\n",
-       "Coordinates:\n",
-       "  * time     (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n",
-       "  * color    (color) <U5 60B 'red' 'green' 'blue'\n",
-       "Dimensions without coordinates: height, width\n",
-       "Data variables:\n",
-       "    data     (time, height, width, color) uint8 66MB ...
" - ], - "text/plain": [ - " Size: 66MB\n", - "Dimensions: (time: 54, height: 640, width: 640, color: 3)\n", - "Coordinates:\n", - " * time (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n", - " * color (color) Size: 66MB\n", - "[66355200 values with dtype=uint8]\n", - "Attributes:\n", - " loop: 0, 'time': Size: 432B\n", - "array([ 0, 40, 80, 120, 160, 200, 240, 280, 320, 360, 400, 440,\n", - " 480, 520, 560, 600, 640, 680, 720, 760, 800, 840, 880, 920,\n", - " 960, 1000, 1040, 1080, 1120, 1160, 1200, 1240, 1280, 1320, 1360, 1400,\n", - " 1440, 1480, 1520, 1560, 1600, 1640, 1680, 1720, 1760, 1800, 1840, 1880,\n", - " 1920, 1960, 2000, 2040, 2080, 2120], dtype='timedelta64[ms]'), 'color': Size: 60B\n", - "array(['red', 'green', 'blue'], dtype='\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'data' (time: 54, height: 640, width: 640, color: 3)> Size: 66MB\n",
-       "[66355200 values with dtype=uint8]\n",
-       "Coordinates:\n",
-       "  * time     (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n",
-       "  * color    (color) <U5 60B 'red' 'green' 'blue'\n",
-       "Dimensions without coordinates: height, width\n",
-       "Attributes:\n",
-       "    loop:     0
" - ], - "text/plain": [ - " Size: 66MB\n", - "[66355200 values with dtype=uint8]\n", - "Coordinates:\n", - " * time (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n", - " * color (color) \u001b[39m\u001b[32m2\u001b[39m img_writer.to_giff(gif_ds, \u001b[33m'data'\u001b[39m, \u001b[33m'time'\u001b[39m, \u001b[33m'l.gif'\u001b[39m)\n", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 23\u001b[39m, in \u001b[36mSimpleImageWrtiter.to_giff\u001b[39m\u001b[34m(self, dataset, variable, time_dim, out_filename, **kwargs)\u001b[39m\n\u001b[32m 19\u001b[39m variable_da = dataset[variable]\n\u001b[32m 20\u001b[39m \n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m time \u001b[38;5;28;01min\u001b[39;00m variable_da[time_dim]:\n\u001b[32m 22\u001b[39m \u001b[38;5;66;03m#variable_da = variable_da.transpose(\"time\", \"width\", \"height\", \"color\")\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m to_plot = ax.pcolormesh(\n\u001b[32m 24\u001b[39m variable_da.height,\n\u001b[32m 25\u001b[39m variable_da.width,\n\u001b[32m 26\u001b[39m variable_da.sel(time=time),\n", - " \u001b[31m[... skipping hidden 1 frame]\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6894\u001b[39m, in \u001b[36mAxes.pcolormesh\u001b[39m\u001b[34m(self, alpha, norm, cmap, vmin, vmax, colorizer, shading, antialiased, *args, **kwargs)\u001b[39m\n\u001b[32m 6891\u001b[39m shading = mpl._val_or_rc(shading, \u001b[33m'\u001b[39m\u001b[33mpcolor.shading\u001b[39m\u001b[33m'\u001b[39m).lower()\n\u001b[32m 6892\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33medgecolors\u001b[39m\u001b[33m'\u001b[39m, \u001b[33m'\u001b[39m\u001b[33mnone\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m6894\u001b[39m X, Y, C, shading = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_pcolorargs\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43mpcolormesh\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 6895\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6896\u001b[39m coords = np.stack([X, Y], axis=-\u001b[32m1\u001b[39m)\n\u001b[32m 6898\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33msnap\u001b[39m\u001b[33m'\u001b[39m, mpl.rcParams[\u001b[33m'\u001b[39m\u001b[33mpcolormesh.snap\u001b[39m\u001b[33m'\u001b[39m])\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6419\u001b[39m, in \u001b[36mAxes._pcolorargs\u001b[39m\u001b[34m(self, funcname, shading, *args, **kwargs)\u001b[39m\n\u001b[32m 6416\u001b[39m shading = \u001b[33m'\u001b[39m\u001b[33mflat\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 6417\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) == \u001b[32m3\u001b[39m:\n\u001b[32m 6418\u001b[39m \u001b[38;5;66;03m# Check x and y for bad data...\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m6419\u001b[39m C = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masanyarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43m2\u001b[39;49m\u001b[30;43m]\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6420\u001b[39m \u001b[38;5;66;03m# unit conversion allows e.g. datetime objects as axis values\u001b[39;00m\n\u001b[32m 6421\u001b[39m X, Y = args[:\u001b[32m2\u001b[39m]\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/common.py:181\u001b[39m, in \u001b[36mAbstractArray.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 179\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[32m 180\u001b[39m copy = \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m181\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.array(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m, dtype=dtype, copy=copy)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/dataarray.py:803\u001b[39m, in \u001b[36mDataArray.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 790\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 791\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 792\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 793\u001b[39m \u001b[33;03m The array's data converted to numpy.ndarray.\u001b[39;00m\n\u001b[32m 794\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 801\u001b[39m \u001b[33;03m to this array may be reflected in the DataArray as well.\u001b[39;00m\n\u001b[32m 802\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m803\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvariable\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:555\u001b[39m, in \u001b[36mVariable.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 552\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 553\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 554\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m555\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43m_as_array_or_item\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_data\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:335\u001b[39m, in \u001b[36m_as_array_or_item\u001b[39m\u001b[34m(data)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_as_array_or_item\u001b[39m(data):\n\u001b[32m 322\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[32m 323\u001b[39m \u001b[33;03m it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[32m 324\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 333\u001b[39m \u001b[33;03m TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[32m 334\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m335\u001b[39m data = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mdata\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 336\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data.ndim == \u001b[32m0\u001b[39m:\n\u001b[32m 337\u001b[39m kind = data.dtype.kind\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:609\u001b[39m, in \u001b[36mExplicitlyIndexed.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 604\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__array__\u001b[39m(\n\u001b[32m 605\u001b[39m \u001b[38;5;28mself\u001b[39m, dtype: DTypeLike | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m, /, *, copy: \u001b[38;5;28mbool\u001b[39m | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 606\u001b[39m ) -> np.ndarray:\n\u001b[32m 607\u001b[39m \u001b[38;5;66;03m# Leave casting to an array up to the underlying array type.\u001b[39;00m\n\u001b[32m 608\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m Version(np.__version__) >= Version(\u001b[33m\"\u001b[39m\u001b[33m2.0.0\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m609\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m, dtype=dtype, copy=copy)\n\u001b[32m 610\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 611\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[38;5;28mself\u001b[39m.get_duck_array(), dtype=dtype)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:976\u001b[39m, in \u001b[36mMemoryCachedArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 975\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget_duck_array\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m976\u001b[39m duck_array = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 977\u001b[39m \u001b[38;5;66;03m# ensure the array object is cached in-memory\u001b[39;00m\n\u001b[32m 978\u001b[39m \u001b[38;5;28mself\u001b[39m.array = as_indexable(duck_array)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:930\u001b[39m, in \u001b[36mCopyOnWriteArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 929\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget_duck_array\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m930\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:770\u001b[39m, in \u001b[36mLazilyIndexedArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 767\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mxarray\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mbackends\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mcommon\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m BackendArray\n\u001b[32m 769\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m.array, BackendArray):\n\u001b[32m--> \u001b[39m\u001b[32m770\u001b[39m array = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m]\u001b[39;49m\n\u001b[32m 771\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 772\u001b[39m array = apply_indexer(\u001b[38;5;28mself\u001b[39m.array, \u001b[38;5;28mself\u001b[39m.key)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:38\u001b[39m, in \u001b[36mImageIOBackendArray.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 37\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__getitem__\u001b[39m(\u001b[38;5;28mself\u001b[39m, key: \u001b[38;5;28mtuple\u001b[39m[IndexerType]):\n\u001b[32m---> \u001b[39m\u001b[32m38\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mexplicit_indexing_adapter\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 39\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 40\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mshape\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 41\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mIndexingSupport\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mBASIC\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 42\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mbasic_indexing\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 43\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:1162\u001b[39m, in \u001b[36mexplicit_indexing_adapter\u001b[39m\u001b[34m(key, shape, indexing_support, raw_indexing_method)\u001b[39m\n\u001b[32m 1140\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Support explicit indexing by delegating to a raw indexing method.\u001b[39;00m\n\u001b[32m 1141\u001b[39m \n\u001b[32m 1142\u001b[39m \u001b[33;03mOuter and/or vectorized indexers are supported by indexing a second time\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1159\u001b[39m \u001b[33;03mIndexing result, in the form of a duck numpy-array.\u001b[39;00m\n\u001b[32m 1160\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 1161\u001b[39m raw_key, numpy_indices = decompose_indexer(key, shape, indexing_support)\n\u001b[32m-> \u001b[39m\u001b[32m1162\u001b[39m result = \u001b[30;43mraw_indexing_method\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mraw_key\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mtuple\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 1163\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m numpy_indices.tuple:\n\u001b[32m 1164\u001b[39m \u001b[38;5;66;03m# index the loaded duck array\u001b[39;00m\n\u001b[32m 1165\u001b[39m indexable = as_indexable(result)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:9\u001b[39m, in \u001b[36mbasic_indexing\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 0\u001b[39m \n", - "\u001b[31mTypeError\u001b[39m: PillowPlugin.read() got an unexpected keyword argument 'writable'" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "img_writer = SimpleImageWrtiter()\n", "img_writer.to_giff(gif_ds, \"data\", \"time\", \"io_writer.gif\")" From 8dc568923f148e978f5215113c58095983e9c1af Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 11:39:23 -0400 Subject: [PATCH 09/18] relative path --- advanced/backends/create_custom_backend.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 648ec381..f3042a5f 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "2", "metadata": {}, "outputs": [], From f86366ffc6a785562b224360972a470aa6800776 Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 11:51:24 -0400 Subject: [PATCH 10/18] path --- advanced/backends/create_custom_backend.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 78ae948b..39e7725f 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -34,12 +34,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "2", "metadata": {}, "outputs": [], "source": [ - "image_path = \"../../advanced/backends/io.gif\"" + "image_path = \"advanced/backends/io.gif\"" ] }, { From 30f6a876a3e0f1f47345e8070d191fca55a47f36 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 14 Jul 2026 15:51:41 +0000 Subject: [PATCH 11/18] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- advanced/backends/create_custom_backend.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 39e7725f..9f21d07a 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "2", "metadata": {}, "outputs": [], From 35e550c8d704f2c8db444a3fd026af8b4a0a12ce Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 11:55:32 -0400 Subject: [PATCH 12/18] relative path --- advanced/backends/create_custom_backend.ipynb | 1270 ++++++++++++++++- 1 file changed, 1253 insertions(+), 17 deletions(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 39e7725f..5821ece1 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -34,12 +34,12 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "id": "2", "metadata": {}, "outputs": [], "source": [ - "image_path = \"advanced/backends/io.gif\"" + "image_path = \"io.gif\"" ] }, { @@ -56,10 +56,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "id": "4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "numpy.ndarray" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import imageio as iio\n", "from xarray.backends import BackendEntrypoint\n", @@ -100,10 +111,584 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "id": "6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 66MB\n",
+       "Dimensions:  (time: 54, height: 640, width: 640, color: 3)\n",
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+       "Dimensions without coordinates: height, width\n",
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<xarray.DataArray 'data' (time: 54, height: 640, width: 640, color: 3)> Size: 66MB\n",
+       "[66355200 values with dtype=uint8]\n",
+       "Coordinates:\n",
+       "  * time     (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n",
+       "  * color    (color) <U5 60B 'red' 'green' 'blue'\n",
+       "Dimensions without coordinates: height, width\n",
+       "Attributes:\n",
+       "    loop:     0
" + ], + "text/plain": [ + " Size: 66MB\n", + "[66355200 values with dtype=uint8]\n", + "Coordinates:\n", + " * time (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n", + " * color (color) \u001b[39m\u001b[32m2\u001b[39m img_writer.to_giff(gif_ds, \u001b[33m\"data\"\u001b[39m, \u001b[33m\"time\"\u001b[39m, \u001b[33m\"io_writer.gif\"\u001b[39m)\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[33]\u001b[39m\u001b[32m, line 23\u001b[39m, in \u001b[36mSimpleImageWrtiter.to_giff\u001b[39m\u001b[34m(self, dataset, variable, time_dim, out_filename, **kwargs)\u001b[39m\n\u001b[32m 19\u001b[39m variable_da = dataset[variable]\n\u001b[32m 20\u001b[39m \n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m time \u001b[38;5;28;01min\u001b[39;00m variable_da[time_dim]:\n\u001b[32m 22\u001b[39m variable_da = variable_da.transpose(\u001b[33m\"time\"\u001b[39m, \u001b[33m\"width\"\u001b[39m, \u001b[33m\"height\"\u001b[39m, \u001b[33m\"color\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m to_plot = ax.pcolormesh(\n\u001b[32m 24\u001b[39m variable_da.height,\n\u001b[32m 25\u001b[39m variable_da.width,\n\u001b[32m 26\u001b[39m variable_da.sel(time=time),\n", + " \u001b[31m[... skipping hidden 1 frame]\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6894\u001b[39m, in \u001b[36mAxes.pcolormesh\u001b[39m\u001b[34m(self, alpha, norm, cmap, vmin, vmax, colorizer, shading, antialiased, *args, **kwargs)\u001b[39m\n\u001b[32m 6891\u001b[39m shading = mpl._val_or_rc(shading, \u001b[33m'\u001b[39m\u001b[33mpcolor.shading\u001b[39m\u001b[33m'\u001b[39m).lower()\n\u001b[32m 6892\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33medgecolors\u001b[39m\u001b[33m'\u001b[39m, \u001b[33m'\u001b[39m\u001b[33mnone\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m6894\u001b[39m X, Y, C, shading = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_pcolorargs\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43mpcolormesh\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 6895\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6896\u001b[39m coords = np.stack([X, Y], axis=-\u001b[32m1\u001b[39m)\n\u001b[32m 6898\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33msnap\u001b[39m\u001b[33m'\u001b[39m, mpl.rcParams[\u001b[33m'\u001b[39m\u001b[33mpcolormesh.snap\u001b[39m\u001b[33m'\u001b[39m])\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6419\u001b[39m, in \u001b[36mAxes._pcolorargs\u001b[39m\u001b[34m(self, funcname, shading, *args, **kwargs)\u001b[39m\n\u001b[32m 6416\u001b[39m shading = \u001b[33m'\u001b[39m\u001b[33mflat\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 6417\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) == \u001b[32m3\u001b[39m:\n\u001b[32m 6418\u001b[39m \u001b[38;5;66;03m# Check x and y for bad data...\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m6419\u001b[39m C = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masanyarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43m2\u001b[39;49m\u001b[30;43m]\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6420\u001b[39m \u001b[38;5;66;03m# unit conversion allows e.g. datetime objects as axis values\u001b[39;00m\n\u001b[32m 6421\u001b[39m X, Y = args[:\u001b[32m2\u001b[39m]\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/common.py:181\u001b[39m, in \u001b[36mAbstractArray.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 179\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[32m 180\u001b[39m copy = \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m181\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.array(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m, dtype=dtype, copy=copy)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/dataarray.py:803\u001b[39m, in \u001b[36mDataArray.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 790\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 791\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 792\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 793\u001b[39m \u001b[33;03m The array's data converted to numpy.ndarray.\u001b[39;00m\n\u001b[32m 794\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 801\u001b[39m \u001b[33;03m to this array may be reflected in the DataArray as well.\u001b[39;00m\n\u001b[32m 802\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m803\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvariable\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:555\u001b[39m, in \u001b[36mVariable.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 552\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 553\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 554\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m555\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43m_as_array_or_item\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_data\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:335\u001b[39m, in \u001b[36m_as_array_or_item\u001b[39m\u001b[34m(data)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_as_array_or_item\u001b[39m(data):\n\u001b[32m 322\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[32m 323\u001b[39m \u001b[33;03m it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[32m 324\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 333\u001b[39m \u001b[33;03m TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[32m 334\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m335\u001b[39m data = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mdata\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 336\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data.ndim == \u001b[32m0\u001b[39m:\n\u001b[32m 337\u001b[39m kind = data.dtype.kind\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:609\u001b[39m, in \u001b[36mExplicitlyIndexed.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 604\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__array__\u001b[39m(\n\u001b[32m 605\u001b[39m \u001b[38;5;28mself\u001b[39m, dtype: DTypeLike | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m, /, *, copy: \u001b[38;5;28mbool\u001b[39m | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 606\u001b[39m ) -> np.ndarray:\n\u001b[32m 607\u001b[39m \u001b[38;5;66;03m# Leave casting to an array up to the underlying array type.\u001b[39;00m\n\u001b[32m 608\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m Version(np.__version__) >= Version(\u001b[33m\"\u001b[39m\u001b[33m2.0.0\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m609\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m, dtype=dtype, copy=copy)\n\u001b[32m 610\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 611\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[38;5;28mself\u001b[39m.get_duck_array(), dtype=dtype)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:852\u001b[39m, in \u001b[36mLazilyVectorizedIndexedArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 849\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mxarray\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mbackends\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mcommon\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m BackendArray\n\u001b[32m 851\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m.array, BackendArray):\n\u001b[32m--> \u001b[39m\u001b[32m852\u001b[39m array = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m]\u001b[39;49m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 854\u001b[39m array = apply_indexer(\u001b[38;5;28mself\u001b[39m.array, \u001b[38;5;28mself\u001b[39m.key)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:38\u001b[39m, in \u001b[36mImageIOBackendArray.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 37\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__getitem__\u001b[39m(\u001b[38;5;28mself\u001b[39m, key: \u001b[38;5;28mtuple\u001b[39m[IndexerType]):\n\u001b[32m---> \u001b[39m\u001b[32m38\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mexplicit_indexing_adapter\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 39\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 40\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mshape\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 41\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mIndexingSupport\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mBASIC\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 42\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mbasic_indexing\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 43\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:1162\u001b[39m, in \u001b[36mexplicit_indexing_adapter\u001b[39m\u001b[34m(key, shape, indexing_support, raw_indexing_method)\u001b[39m\n\u001b[32m 1140\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Support explicit indexing by delegating to a raw indexing method.\u001b[39;00m\n\u001b[32m 1141\u001b[39m \n\u001b[32m 1142\u001b[39m \u001b[33;03mOuter and/or vectorized indexers are supported by indexing a second time\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1159\u001b[39m \u001b[33;03mIndexing result, in the form of a duck numpy-array.\u001b[39;00m\n\u001b[32m 1160\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 1161\u001b[39m raw_key, numpy_indices = decompose_indexer(key, shape, indexing_support)\n\u001b[32m-> \u001b[39m\u001b[32m1162\u001b[39m result = \u001b[30;43mraw_indexing_method\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mraw_key\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mtuple\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 1163\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m numpy_indices.tuple:\n\u001b[32m 1164\u001b[39m \u001b[38;5;66;03m# index the loaded duck array\u001b[39;00m\n\u001b[32m 1165\u001b[39m indexable = as_indexable(result)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:18\u001b[39m, in \u001b[36mbasic_indexing\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 14\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnumpy\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mtyping\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnpt\u001b[39;00m\n\u001b[32m 16\u001b[39m \u001b[38;5;28;01mclass\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mFileLike\u001b[39;00m(Protocol): ...\n\u001b[32m---> \u001b[39m\u001b[32m18\u001b[39m \u001b[38;5;28;01mclass\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mLockType\u001b[39;00m(Protocol):\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__enter__\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> Any: ...\n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34macquire\u001b[39m(\u001b[38;5;28mself\u001b[39m, blocking: \u001b[38;5;28mbool\u001b[39m = \u001b[38;5;28;01mTrue\u001b[39;00m, timeout: \u001b[38;5;28mint\u001b[39m = -\u001b[32m1\u001b[39m) -> \u001b[38;5;28mbool\u001b[39m: ...\n", + "\u001b[31mIndexError\u001b[39m: too many indices for array: array is 2-dimensional, but 3 were indexed" + ] + }, + { + "data": { + "image/png": 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<xarray.Dataset> Size: 66MB\n",
-       "Dimensions:  (time: 54, height: 640, width: 640, color: 3)\n",
-       "Coordinates:\n",
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-       "Dimensions without coordinates: height, width\n",
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-       "    data     (time, height, width, color) uint8 66MB ...
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<xarray.DataArray 'data' (time: 54, height: 640, width: 640, color: 3)> Size: 66MB\n",
-       "[66355200 values with dtype=uint8]\n",
-       "Coordinates:\n",
-       "  * time     (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n",
-       "  * color    (color) <U5 60B 'red' 'green' 'blue'\n",
-       "Dimensions without coordinates: height, width\n",
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-       "    loop:     0
" - ], - "text/plain": [ - " Size: 66MB\n", - "[66355200 values with dtype=uint8]\n", - "Coordinates:\n", - " * time (time) timedelta64[ms] 432B 00:00:00 ... 00:00:02.120000\n", - " * color (color) \u001b[39m\u001b[32m2\u001b[39m img_writer.to_giff(gif_ds, \u001b[33m\"data\"\u001b[39m, \u001b[33m\"time\"\u001b[39m, \u001b[33m\"io_writer.gif\"\u001b[39m)\n", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[33]\u001b[39m\u001b[32m, line 23\u001b[39m, in \u001b[36mSimpleImageWrtiter.to_giff\u001b[39m\u001b[34m(self, dataset, variable, time_dim, out_filename, **kwargs)\u001b[39m\n\u001b[32m 19\u001b[39m variable_da = dataset[variable]\n\u001b[32m 20\u001b[39m \n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m time \u001b[38;5;28;01min\u001b[39;00m variable_da[time_dim]:\n\u001b[32m 22\u001b[39m variable_da = variable_da.transpose(\u001b[33m\"time\"\u001b[39m, \u001b[33m\"width\"\u001b[39m, \u001b[33m\"height\"\u001b[39m, \u001b[33m\"color\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m to_plot = ax.pcolormesh(\n\u001b[32m 24\u001b[39m variable_da.height,\n\u001b[32m 25\u001b[39m variable_da.width,\n\u001b[32m 26\u001b[39m variable_da.sel(time=time),\n", - " \u001b[31m[... skipping hidden 1 frame]\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6894\u001b[39m, in \u001b[36mAxes.pcolormesh\u001b[39m\u001b[34m(self, alpha, norm, cmap, vmin, vmax, colorizer, shading, antialiased, *args, **kwargs)\u001b[39m\n\u001b[32m 6891\u001b[39m shading = mpl._val_or_rc(shading, \u001b[33m'\u001b[39m\u001b[33mpcolor.shading\u001b[39m\u001b[33m'\u001b[39m).lower()\n\u001b[32m 6892\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33medgecolors\u001b[39m\u001b[33m'\u001b[39m, \u001b[33m'\u001b[39m\u001b[33mnone\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m6894\u001b[39m X, Y, C, shading = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_pcolorargs\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43mpcolormesh\u001b[39;49m\u001b[30;43m'\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 6895\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mshading\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6896\u001b[39m coords = np.stack([X, Y], axis=-\u001b[32m1\u001b[39m)\n\u001b[32m 6898\u001b[39m kwargs.setdefault(\u001b[33m'\u001b[39m\u001b[33msnap\u001b[39m\u001b[33m'\u001b[39m, mpl.rcParams[\u001b[33m'\u001b[39m\u001b[33mpcolormesh.snap\u001b[39m\u001b[33m'\u001b[39m])\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/matplotlib/axes/_axes.py:6419\u001b[39m, in \u001b[36mAxes._pcolorargs\u001b[39m\u001b[34m(self, funcname, shading, *args, **kwargs)\u001b[39m\n\u001b[32m 6416\u001b[39m shading = \u001b[33m'\u001b[39m\u001b[33mflat\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 6417\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) == \u001b[32m3\u001b[39m:\n\u001b[32m 6418\u001b[39m \u001b[38;5;66;03m# Check x and y for bad data...\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m6419\u001b[39m C = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masanyarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43m2\u001b[39;49m\u001b[30;43m]\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 6420\u001b[39m \u001b[38;5;66;03m# unit conversion allows e.g. datetime objects as axis values\u001b[39;00m\n\u001b[32m 6421\u001b[39m X, Y = args[:\u001b[32m2\u001b[39m]\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/common.py:181\u001b[39m, in \u001b[36mAbstractArray.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 179\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[32m 180\u001b[39m copy = \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m181\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.array(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m, dtype=dtype, copy=copy)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/dataarray.py:803\u001b[39m, in \u001b[36mDataArray.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 790\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 791\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 792\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 793\u001b[39m \u001b[33;03m The array's data converted to numpy.ndarray.\u001b[39;00m\n\u001b[32m 794\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 801\u001b[39m \u001b[33;03m to this array may be reflected in the DataArray as well.\u001b[39;00m\n\u001b[32m 802\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m803\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvariable\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mvalues\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:555\u001b[39m, in \u001b[36mVariable.values\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 552\u001b[39m \u001b[38;5;129m@property\u001b[39m\n\u001b[32m 553\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> np.ndarray:\n\u001b[32m 554\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m555\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43m_as_array_or_item\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_data\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/variable.py:335\u001b[39m, in \u001b[36m_as_array_or_item\u001b[39m\u001b[34m(data)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_as_array_or_item\u001b[39m(data):\n\u001b[32m 322\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[32m 323\u001b[39m \u001b[33;03m it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[32m 324\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 333\u001b[39m \u001b[33;03m TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[32m 334\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m335\u001b[39m data = \u001b[30;43mnp\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43masarray\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mdata\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 336\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data.ndim == \u001b[32m0\u001b[39m:\n\u001b[32m 337\u001b[39m kind = data.dtype.kind\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:609\u001b[39m, in \u001b[36mExplicitlyIndexed.__array__\u001b[39m\u001b[34m(self, dtype, copy)\u001b[39m\n\u001b[32m 604\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__array__\u001b[39m(\n\u001b[32m 605\u001b[39m \u001b[38;5;28mself\u001b[39m, dtype: DTypeLike | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m, /, *, copy: \u001b[38;5;28mbool\u001b[39m | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 606\u001b[39m ) -> np.ndarray:\n\u001b[32m 607\u001b[39m \u001b[38;5;66;03m# Leave casting to an array up to the underlying array type.\u001b[39;00m\n\u001b[32m 608\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m Version(np.__version__) >= Version(\u001b[33m\"\u001b[39m\u001b[33m2.0.0\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m609\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_duck_array\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m, dtype=dtype, copy=copy)\n\u001b[32m 610\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 611\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m np.asarray(\u001b[38;5;28mself\u001b[39m.get_duck_array(), dtype=dtype)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:852\u001b[39m, in \u001b[36mLazilyVectorizedIndexedArray.get_duck_array\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 849\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mxarray\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mbackends\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mcommon\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m BackendArray\n\u001b[32m 851\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m.array, BackendArray):\n\u001b[32m--> \u001b[39m\u001b[32m852\u001b[39m array = \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43marray\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m]\u001b[39;49m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 854\u001b[39m array = apply_indexer(\u001b[38;5;28mself\u001b[39m.array, \u001b[38;5;28mself\u001b[39m.key)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:38\u001b[39m, in \u001b[36mImageIOBackendArray.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 37\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__getitem__\u001b[39m(\u001b[38;5;28mself\u001b[39m, key: \u001b[38;5;28mtuple\u001b[39m[IndexerType]):\n\u001b[32m---> \u001b[39m\u001b[32m38\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mexplicit_indexing_adapter\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 39\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mkey\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 40\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mshape\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 41\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mxr\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcore\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mindexing\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mIndexingSupport\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mBASIC\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 42\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mbasic_indexing\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m 43\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/.pixi/envs/default/lib/python3.14/site-packages/xarray/core/indexing.py:1162\u001b[39m, in \u001b[36mexplicit_indexing_adapter\u001b[39m\u001b[34m(key, shape, indexing_support, raw_indexing_method)\u001b[39m\n\u001b[32m 1140\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Support explicit indexing by delegating to a raw indexing method.\u001b[39;00m\n\u001b[32m 1141\u001b[39m \n\u001b[32m 1142\u001b[39m \u001b[33;03mOuter and/or vectorized indexers are supported by indexing a second time\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1159\u001b[39m \u001b[33;03mIndexing result, in the form of a duck numpy-array.\u001b[39;00m\n\u001b[32m 1160\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 1161\u001b[39m raw_key, numpy_indices = decompose_indexer(key, shape, indexing_support)\n\u001b[32m-> \u001b[39m\u001b[32m1162\u001b[39m result = \u001b[30;43mraw_indexing_method\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mraw_key\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mtuple\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 1163\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m numpy_indices.tuple:\n\u001b[32m 1164\u001b[39m \u001b[38;5;66;03m# index the loaded duck array\u001b[39;00m\n\u001b[32m 1165\u001b[39m indexable = as_indexable(result)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/xarray-tutorial/advanced/backends/imageio_.py:18\u001b[39m, in \u001b[36mbasic_indexing\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 14\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnumpy\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mtyping\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnpt\u001b[39;00m\n\u001b[32m 16\u001b[39m \u001b[38;5;28;01mclass\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mFileLike\u001b[39;00m(Protocol): ...\n\u001b[32m---> \u001b[39m\u001b[32m18\u001b[39m \u001b[38;5;28;01mclass\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mLockType\u001b[39;00m(Protocol):\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__enter__\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> Any: ...\n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34macquire\u001b[39m(\u001b[38;5;28mself\u001b[39m, blocking: \u001b[38;5;28mbool\u001b[39m = \u001b[38;5;28;01mTrue\u001b[39;00m, timeout: \u001b[38;5;28mint\u001b[39m = -\u001b[32m1\u001b[39m) -> \u001b[38;5;28mbool\u001b[39m: ...\n", - "\u001b[31mIndexError\u001b[39m: too many indices for array: array is 2-dimensional, but 3 were indexed" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "img_writer = SimpleImageWrtiter()\n", "img_writer.to_giff(gif_ds, \"data\", \"time\", \"io_writer.gif\")" From 06ff94cb6f328702f4afee04fc7ee742bb133951 Mon Sep 17 00:00:00 2001 From: Vecko <36369090+VeckoTheGecko@users.noreply.github.com> Date: Tue, 14 Jul 2026 11:03:45 -0500 Subject: [PATCH 14/18] Fix typo --- advanced/backends/create_custom_backend.ipynb | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 008f6ce5..0d2026f5 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -241,7 +241,7 @@ "from matplotlib.animation import PillowWriter\n", "\n", "\n", - "class SimpleImageWrtiter(ImageIOBackend):\n", + "class SimpleImageWriter(ImageIOBackend):\n", " def to_giff(\n", " self,\n", " dataset,\n", @@ -284,9 +284,17 @@ "metadata": {}, "outputs": [], "source": [ - "img_writer = SimpleImageWrtiter()\n", + "img_writer = SimpleImageWriter()\n", "img_writer.to_giff(gif_ds, \"data\", \"time\", \"io_writer.gif\")" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From ce226fae870b534bc7c8da44f8d4d47732a74197 Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 12:47:33 -0400 Subject: [PATCH 15/18] remove return --- advanced/backends/create_custom_backend.ipynb | 13 +------------ 1 file changed, 1 insertion(+), 12 deletions(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index 0d2026f5..ee1b0097 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -82,10 +82,7 @@ " *,\n", " drop_variables=None,\n", " ):\n", - " return imageio_open(filename_or_obj)\n", - "\n", - "\n", - "type(MyImageReader().open_dataset(image_path))" + " return imageio_open(filename_or_obj)" ] }, { @@ -287,14 +284,6 @@ "img_writer = SimpleImageWriter()\n", "img_writer.to_giff(gif_ds, \"data\", \"time\", \"io_writer.gif\")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "20", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From d3b156a2cd08e4e6fcd9ca393411d52b668dcaf6 Mon Sep 17 00:00:00 2001 From: Vecko <36369090+VeckoTheGecko@users.noreply.github.com> Date: Tue, 14 Jul 2026 11:45:03 -0500 Subject: [PATCH 16/18] repro --- advanced/backends/imageee.py | 167 +++++++++++++++++++++++++++++++++++ task.md | 1 + 2 files changed, 168 insertions(+) create mode 100644 advanced/backends/imageee.py create mode 100644 task.md diff --git a/advanced/backends/imageee.py b/advanced/backends/imageee.py new file mode 100644 index 00000000..acadf919 --- /dev/null +++ b/advanced/backends/imageee.py @@ -0,0 +1,167 @@ +# %% [markdown] +# # Create your own Xarray Backend +# In this lesson, we will learn about and how to create your own custom xarray backend +# +# :::{admonition} Learning Goals +# - Learn about xarray's support for custom backends +# - Learn how to use a custom `imageio` backend to open and manipulate GIFs +# - Learn how to extend the `imagegio` backend to write out a GIF +# ::: +# +# ## Why should you create your own Xarray backend? +# +# - Allows you to use xarray's interface +# - Attribute-like syntax, dict-like syntax and label based indexing +# - You don’t need to integrate any code in Xarray +# - Easy and fast! +# + +# %% [markdown] +# ## Setting up the BackendEntrypoint +# +# To set up a `BackendEntrypoint` we can implement a subclass of `BackendEntrypoint` and expose the `open_dataset` method to it. For this tutorial we have the `ImageIOBackend` already defined but we will extend the functionally to write GIFS. + +# %% +image_path = "io.gif" + +# %% [markdown] +# We can write a simple image reader function that we can then plug into our `MyBackendEntrypoint` class. For this example we are going to use `imageio` an image reader and writer library. With `imageio` you can read an image file with `iio.imopen` +# +# :::{note} +# The `ImageIOBackend` also defines a `ImageIOBackendArray` with basic indexing. +# : + +# %% +import imageio as iio +from xarray.backends import BackendEntrypoint + + +def imageio_open( + filename_or_obj, +): + img = iio.imopen(filename_or_obj, io_mode="r") + return img.read() + + +class MyImageReader(BackendEntrypoint): + def open_dataset( + self, + filename_or_obj, + *, + drop_variables=None, + ): + return imageio_open(filename_or_obj) + + +type(MyImageReader().open_dataset(image_path)) + +# %% [markdown] +# ## Reading image data +# +# Lets use our `ImageIOBackend` to open a GIF. +# + +# %% +import xarray as xr +from imageio_ import ImageIOBackend + +gif_ds = xr.open_dataset(image_path, engine=ImageIOBackend) + +# %% [markdown] +# ### Examining our image dataset +# +# Since our image is a `Dataset` object we can use xarray's interface for `Dataset` objects. +# +# Let's try listing all of the variables, dimensions and selecting data + +# %% + +# %% [markdown] +# We can list our dimensions + +# %% + +# %% [markdown] +# Let's try getting our `DataArray` + +# %% + +# %% [markdown] +# ## GIF metadata +# We can examine, update and add metadata to our `Dataset` object. +# +# We can examine the attributes in our GIF "data" variable with the `.attrs` method + +# %% + +# %% [markdown] +# ## Exercise + +# %% [markdown] +# ::::{admonition} Exercise +# :class: tip +# +# Can you add a new attribute to our GIF "data" variable called "fps". This is the frames per second we can write our GIF to. You can set it to any value. +# +# :::{admonition} Solution +# :class: dropdown +# +# ```python +# gif_ds.data.attrs['fps'] = 100 +# ``` +# ::: +# :::: + +# %% [markdown] +# ### GIF writer +# We can extend our backend with an GIF writer. Here we use `matplotlib`'s animation functions and `PillowWriter` + +# %% +import matplotlib.animation as animation +import matplotlib.pyplot as plt +import numpy as np +from imageio_ import ImageIOBackend +from matplotlib.animation import PillowWriter + + +class SimpleImageWriter(ImageIOBackend): + def to_giff( + self, + dataset, + variable, + time_dim, + out_filename, + **kwargs, + ): + fig, ax = plt.subplots() + + frames = [] + variable_da = dataset[variable] + X, Y = np.meshgrid(variable_da.height, variable_da.width) + for time in variable_da[time_dim]: + variable_da = variable_da.transpose("time", "width", "height", "color") + to_plot = ax.pcolormesh( + X, + Y, + variable_da.sel(time=time).isel(color=0), + # animated=True, + shading="auto", + **kwargs, + ) + + frames.append([to_plot]) + + try: + writer = PillowWriter(fps=variable_da.attrs["fps"], **kwargs) + except KeyError: + writer = PillowWriter(fps=50, **kwargs) + + ani = animation.ArtistAnimation(fig, frames, blit=True, repeat=True) + ani.save(filename=out_filename, writer=writer) + + +# %% +img_writer = SimpleImageWriter() +img_writer.to_giff(gif_ds, "data", "time", "io_writer.gif") + +# %% diff --git a/task.md b/task.md new file mode 100644 index 00000000..337d6c6d --- /dev/null +++ b/task.md @@ -0,0 +1 @@ +`cd` into `advanced/backends` and run `pixi run python imageee.py`. The bug you'll encounter is due to the implementation of the function `basic_indexing` in `imageio_.py`. Fix it. From d8f18064fc6ada5d8222471c95c14c725688c076 Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 13:10:01 -0400 Subject: [PATCH 17/18] adding compute --- advanced/backends/create_custom_backend.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/advanced/backends/create_custom_backend.ipynb b/advanced/backends/create_custom_backend.ipynb index ee1b0097..6cf850ec 100644 --- a/advanced/backends/create_custom_backend.ipynb +++ b/advanced/backends/create_custom_backend.ipynb @@ -282,7 +282,7 @@ "outputs": [], "source": [ "img_writer = SimpleImageWriter()\n", - "img_writer.to_giff(gif_ds, \"data\", \"time\", \"io_writer.gif\")" + "img_writer.to_giff(gif_ds.compute(), \"data\", \"time\", \"io_writer.gif\")" ] } ], From 5a684aa89ac7d5ccfbf6957aadcfa1e56e6234c1 Mon Sep 17 00:00:00 2001 From: Olufunke Awowale Date: Tue, 14 Jul 2026 13:43:30 -0400 Subject: [PATCH 18/18] removed debugging code --- advanced/backends/imageee.py | 167 ----------------------------------- task.md | 1 - 2 files changed, 168 deletions(-) delete mode 100644 advanced/backends/imageee.py delete mode 100644 task.md diff --git a/advanced/backends/imageee.py b/advanced/backends/imageee.py deleted file mode 100644 index acadf919..00000000 --- a/advanced/backends/imageee.py +++ /dev/null @@ -1,167 +0,0 @@ -# %% [markdown] -# # Create your own Xarray Backend -# In this lesson, we will learn about and how to create your own custom xarray backend -# -# :::{admonition} Learning Goals -# - Learn about xarray's support for custom backends -# - Learn how to use a custom `imageio` backend to open and manipulate GIFs -# - Learn how to extend the `imagegio` backend to write out a GIF -# ::: -# -# ## Why should you create your own Xarray backend? -# -# - Allows you to use xarray's interface -# - Attribute-like syntax, dict-like syntax and label based indexing -# - You don’t need to integrate any code in Xarray -# - Easy and fast! -# - -# %% [markdown] -# ## Setting up the BackendEntrypoint -# -# To set up a `BackendEntrypoint` we can implement a subclass of `BackendEntrypoint` and expose the `open_dataset` method to it. For this tutorial we have the `ImageIOBackend` already defined but we will extend the functionally to write GIFS. - -# %% -image_path = "io.gif" - -# %% [markdown] -# We can write a simple image reader function that we can then plug into our `MyBackendEntrypoint` class. For this example we are going to use `imageio` an image reader and writer library. With `imageio` you can read an image file with `iio.imopen` -# -# :::{note} -# The `ImageIOBackend` also defines a `ImageIOBackendArray` with basic indexing. -# : - -# %% -import imageio as iio -from xarray.backends import BackendEntrypoint - - -def imageio_open( - filename_or_obj, -): - img = iio.imopen(filename_or_obj, io_mode="r") - return img.read() - - -class MyImageReader(BackendEntrypoint): - def open_dataset( - self, - filename_or_obj, - *, - drop_variables=None, - ): - return imageio_open(filename_or_obj) - - -type(MyImageReader().open_dataset(image_path)) - -# %% [markdown] -# ## Reading image data -# -# Lets use our `ImageIOBackend` to open a GIF. -# - -# %% -import xarray as xr -from imageio_ import ImageIOBackend - -gif_ds = xr.open_dataset(image_path, engine=ImageIOBackend) - -# %% [markdown] -# ### Examining our image dataset -# -# Since our image is a `Dataset` object we can use xarray's interface for `Dataset` objects. -# -# Let's try listing all of the variables, dimensions and selecting data - -# %% - -# %% [markdown] -# We can list our dimensions - -# %% - -# %% [markdown] -# Let's try getting our `DataArray` - -# %% - -# %% [markdown] -# ## GIF metadata -# We can examine, update and add metadata to our `Dataset` object. -# -# We can examine the attributes in our GIF "data" variable with the `.attrs` method - -# %% - -# %% [markdown] -# ## Exercise - -# %% [markdown] -# ::::{admonition} Exercise -# :class: tip -# -# Can you add a new attribute to our GIF "data" variable called "fps". This is the frames per second we can write our GIF to. You can set it to any value. -# -# :::{admonition} Solution -# :class: dropdown -# -# ```python -# gif_ds.data.attrs['fps'] = 100 -# ``` -# ::: -# :::: - -# %% [markdown] -# ### GIF writer -# We can extend our backend with an GIF writer. Here we use `matplotlib`'s animation functions and `PillowWriter` - -# %% -import matplotlib.animation as animation -import matplotlib.pyplot as plt -import numpy as np -from imageio_ import ImageIOBackend -from matplotlib.animation import PillowWriter - - -class SimpleImageWriter(ImageIOBackend): - def to_giff( - self, - dataset, - variable, - time_dim, - out_filename, - **kwargs, - ): - fig, ax = plt.subplots() - - frames = [] - variable_da = dataset[variable] - X, Y = np.meshgrid(variable_da.height, variable_da.width) - for time in variable_da[time_dim]: - variable_da = variable_da.transpose("time", "width", "height", "color") - to_plot = ax.pcolormesh( - X, - Y, - variable_da.sel(time=time).isel(color=0), - # animated=True, - shading="auto", - **kwargs, - ) - - frames.append([to_plot]) - - try: - writer = PillowWriter(fps=variable_da.attrs["fps"], **kwargs) - except KeyError: - writer = PillowWriter(fps=50, **kwargs) - - ani = animation.ArtistAnimation(fig, frames, blit=True, repeat=True) - ani.save(filename=out_filename, writer=writer) - - -# %% -img_writer = SimpleImageWriter() -img_writer.to_giff(gif_ds, "data", "time", "io_writer.gif") - -# %% diff --git a/task.md b/task.md deleted file mode 100644 index 337d6c6d..00000000 --- a/task.md +++ /dev/null @@ -1 +0,0 @@ -`cd` into `advanced/backends` and run `pixi run python imageee.py`. The bug you'll encounter is due to the implementation of the function `basic_indexing` in `imageio_.py`. Fix it.