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Update the docs: https://circleci.com/gh/sphinx-gallery/sphinx-galler…
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# Sphinx build info version 1 | ||
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. | ||
config: 63552a5fbbc64d54078287496130f611 | ||
config: e0e45be96f2de298aa16b1c5824ad9be | ||
tags: 645f666f9bcd5a90fca523b33c5a78b7 |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"\n# Force plots to be displayed on separate lines\nThis example demonstrates how the visualisation of multiple plots produced from a single\ncode block can be controlled. The default behaviour is to stack plots side-by-side,\nhowever this can be overridden to display each plot created by the code block on a\nseparate line, preserving their size.\n\nThere are two config options to control this behaviour:\n\n- a file-wide ``sphinx_gallery_multi_image`` variable\n- a code block-specific ``sphinx_gallery_multi_image_block`` variable\n\nSetting these variables to ``\"single\"`` will force plots to be displayed on separate\nlines. Default behaviour is to treat these variables as being set to ``\"multi\"``.\n\nBelow we demonstrate how the file-wide ``sphinx_gallery_multi_image`` variable can be\nused to display plots on separate lines.\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# Code source: Thomas S. Binns\n# License: BSD 3 clause\n\n# sphinx_gallery_multi_image = \"single\"\n\nimport matplotlib.pyplot as plt\nimport numpy as np" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# Plots will be shown on separate lines\n\nfig, ax = plt.subplots(1, 1, figsize=(8, 4))\nax.pcolormesh(np.random.randn(100, 100))\n\nfig, ax = plt.subplots(1, 1, figsize=(8, 4))\nax.pcolormesh(np.random.randn(100, 100))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"Now, we show how the ``sphinx_gallery_multi_image_block`` variable can be used to\ncontrol the behaviour for a specific code block, here reverting to the default\nbehaviour of stacking plots side-by-side.\n\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# sphinx_gallery_multi_image_block = \"multi\"\n# \u2191\u2191\u2191 Return to default behaviour for just this cell\n\nfig, ax = plt.subplots(1, 1, figsize=(8, 4))\nax.pcolormesh(np.random.randn(100, 100))\n\nfig, ax = plt.subplots(1, 1, figsize=(8, 4))\nax.pcolormesh(np.random.randn(100, 100))" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"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": "3.10.12" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 0 | ||
} |
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""" | ||
Force plots to be displayed on separate lines | ||
============================================= | ||
This example demonstrates how the visualisation of multiple plots produced from a single | ||
code block can be controlled. The default behaviour is to stack plots side-by-side, | ||
however this can be overridden to display each plot created by the code block on a | ||
separate line, preserving their size. | ||
There are two config options to control this behaviour: | ||
- a file-wide ``sphinx_gallery_multi_image`` variable | ||
- a code block-specific ``sphinx_gallery_multi_image_block`` variable | ||
Setting these variables to ``"single"`` will force plots to be displayed on separate | ||
lines. Default behaviour is to treat these variables as being set to ``"multi"``. | ||
Below we demonstrate how the file-wide ``sphinx_gallery_multi_image`` variable can be | ||
used to display plots on separate lines. | ||
""" | ||
|
||
# Code source: Thomas S. Binns | ||
# License: BSD 3 clause | ||
|
||
# sphinx_gallery_multi_image = "single" | ||
|
||
import matplotlib.pyplot as plt | ||
import numpy as np | ||
|
||
# %% | ||
|
||
# Plots will be shown on separate lines | ||
|
||
fig, ax = plt.subplots(1, 1, figsize=(8, 4)) | ||
ax.pcolormesh(np.random.randn(100, 100)) | ||
|
||
fig, ax = plt.subplots(1, 1, figsize=(8, 4)) | ||
ax.pcolormesh(np.random.randn(100, 100)) | ||
|
||
######################################################################################## | ||
# Now, we show how the ``sphinx_gallery_multi_image_block`` variable can be used to | ||
# control the behaviour for a specific code block, here reverting to the default | ||
# behaviour of stacking plots side-by-side. | ||
|
||
# %% | ||
|
||
# sphinx_gallery_multi_image_block = "multi" | ||
# ↑↑↑ Return to default behaviour for just this cell | ||
|
||
fig, ax = plt.subplots(1, 1, figsize=(8, 4)) | ||
ax.pcolormesh(np.random.randn(100, 100)) | ||
|
||
fig, ax = plt.subplots(1, 1, figsize=(8, 4)) | ||
ax.pcolormesh(np.random.randn(100, 100)) |
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