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))

• 
• 

<matplotlib.collections.QuadMesh object at 0x7f28abf53eb0>

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))

• 
• 

<matplotlib.collections.QuadMesh object at 0x7f27dd1b9120>

Estimated memory usage: 177 MB