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DOC Better description of inset locator and colorbar #13272

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merged 3 commits into from
Jan 24, 2019
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DOC Better description of inset locator and colorbar #13272

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DOC Better description of inset locator and colorbar
NelleV Jan 24, 2019
ebac451
Update examples/axes_grid1/demo_colorbar_with_inset_locator.py
QuLogic Jan 24, 2019
eecd184
DOC Nitpick on title
NelleV Jan 24, 2019
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23 changes: 15 additions & 8 deletions examples/axes_grid1/demo_colorbar_with_inset_locator.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,14 @@
"""
================================
Demo Colorbar With Inset Locator
================================
==============================================================
Controlling the position and size of colorbars with Inset Axes
==============================================================

This example shows how to control the position, height, and width of
colorbars using `~mpl_toolkits.axes_grid1.inset_axes`.

Controlling the placement of the inset axes is done similarly as that of the
legend: either by providing a location option ("upper right", "best", ...), or
by providing a locator with respect to the parent bbox.

"""
import matplotlib.pyplot as plt
Expand All @@ -11,16 +18,16 @@
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[6, 3])

axins1 = inset_axes(ax1,
width="50%", # width = 10% of parent_bbox width
height="5%", # height : 50%
width="50%", # width = 50% of parent_bbox width
height="5%", # height : 5%
loc='upper right')

im1 = ax1.imshow([[1, 2], [2, 3]])
plt.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3])
fig.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3])
axins1.xaxis.set_ticks_position("bottom")

axins = inset_axes(ax2,
width="5%", # width = 10% of parent_bbox width
width="5%", # width = 5% of parent_bbox width
height="50%", # height : 50%
loc='lower left',
bbox_to_anchor=(1.05, 0., 1, 1),
Expand All @@ -33,6 +40,6 @@
# the bbox_to_anchor coordinate.

im = ax2.imshow([[1, 2], [2, 3]])
plt.colorbar(im, cax=axins, ticks=[1, 2, 3])
fig.colorbar(im, cax=axins, ticks=[1, 2, 3])

plt.show()