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Backport PR #24955 on branch v3.7.x (Cleanup bullseye plot example.) #24956

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Merged
merged 1 commit into from
Jan 12, 2023
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Backport PR #24955 on branch v3.7.x (Cleanup bullseye plot example.) #24956

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32 changes: 16 additions & 16 deletions .../specialty_plots/leftventricle_bulleye.py → ...specialty_plots/leftventricle_bullseye.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,8 @@

This example demonstrates how to create the 17 segment model for the left
ventricle recommended by the American Heart Association (AHA).

.. redirect-from:: /gallery/specialty_plots/leftventricle_bulleye
"""

import numpy as np
Expand Down Expand Up @@ -135,15 +137,11 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):


# Make a figure and axes with dimensions as desired.
fig, ax = plt.subplots(figsize=(12, 8), nrows=1, ncols=3,
subplot_kw=dict(projection='polar'))
fig = plt.figure(figsize=(10, 5), layout="constrained")
fig.get_layout_engine().set(wspace=.1, w_pad=.2)
axs = fig.subplots(1, 3, subplot_kw=dict(projection='polar'))
fig.canvas.manager.set_window_title('Left Ventricle Bulls Eyes (AHA)')

# Create the axis for the colorbars
axl = fig.add_axes([0.14, 0.15, 0.2, 0.05])
axl2 = fig.add_axes([0.41, 0.15, 0.2, 0.05])
axl3 = fig.add_axes([0.69, 0.15, 0.2, 0.05])


# Set the colormap and norm to correspond to the data for which
# the colorbar will be used.
Expand All @@ -152,14 +150,16 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
# Create an empty ScalarMappable to set the colorbar's colormap and norm.
# The following gives a basic continuous colorbar with ticks and labels.
fig.colorbar(mpl.cm.ScalarMappable(cmap=cmap, norm=norm),
cax=axl, orientation='horizontal', label='Some Units')
cax=axs[0].inset_axes([0, -.15, 1, .1]),
orientation='horizontal', label='Some Units')


# And again for the second colorbar.
cmap2 = mpl.cm.cool
norm2 = mpl.colors.Normalize(vmin=1, vmax=17)
fig.colorbar(mpl.cm.ScalarMappable(cmap=cmap2, norm=norm2),
cax=axl2, orientation='horizontal', label='Some other units')
cax=axs[1].inset_axes([0, -.15, 1, .1]),
orientation='horizontal', label='Some other units')


# The second example illustrates the use of a ListedColormap, a
Expand All @@ -173,7 +173,7 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
bounds = [2, 3, 7, 9, 15]
norm3 = mpl.colors.BoundaryNorm(bounds, cmap3.N)
fig.colorbar(mpl.cm.ScalarMappable(cmap=cmap3, norm=norm3),
cax=axl3,
cax=axs[2].inset_axes([0, -.15, 1, .1]),
extend='both',
ticks=bounds, # optional
spacing='proportional',
Expand All @@ -182,14 +182,14 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):


# Create the 17 segment model
bullseye_plot(ax[0], data, cmap=cmap, norm=norm)
ax[0].set_title('Bulls Eye (AHA)')
bullseye_plot(axs[0], data, cmap=cmap, norm=norm)
axs[0].set_title('Bulls Eye (AHA)')

bullseye_plot(ax[1], data, cmap=cmap2, norm=norm2)
ax[1].set_title('Bulls Eye (AHA)')
bullseye_plot(axs[1], data, cmap=cmap2, norm=norm2)
axs[1].set_title('Bulls Eye (AHA)')

bullseye_plot(ax[2], data, seg_bold=[3, 5, 6, 11, 12, 16],
bullseye_plot(axs[2], data, seg_bold=[3, 5, 6, 11, 12, 16],
cmap=cmap3, norm=norm3)
ax[2].set_title('Segments [3, 5, 6, 11, 12, 16] in bold')
axs[2].set_title('Segments [3, 5, 6, 11, 12, 16] in bold')

plt.show()