diff --git a/examples/specialty_plots/leftventricle_bulleye.py b/examples/specialty_plots/leftventricle_bullseye.py
similarity index 88%
rename from examples/specialty_plots/leftventricle_bulleye.py
rename to examples/specialty_plots/leftventricle_bullseye.py
index c0deecd6fd5c..169c08447ad1 100644
--- a/examples/specialty_plots/leftventricle_bulleye.py
+++ b/examples/specialty_plots/leftventricle_bullseye.py
@@ -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
@@ -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.
@@ -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
@@ -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',
@@ -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()
pFad - Phonifier reborn
Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.
Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.
Alternative Proxies:
Alternative Proxy
pFad Proxy
pFad v3 Proxy
pFad v4 Proxy