How to fit/size subplots with aspect and box_aspect in matplotlib (python)

Question

I'm trying to fit the sizes of 2x2 subplots so they line up correctly. I want to create the following subplot/axes structure:

ax1 has a set aspect ratio in data coordinates (e.g. data is not scaled when aspect=1)
ax2 and ax3 have a set (box) aspect ratio in display/figure coordinates (e.g. they appear as squares when box_aspect=1)
ax1 and ax3 share the x axis limits and have the same width
ax1 and ax2 share the y axis limits and have the same height
ax4 fits in the last box so that it has the width of ax2 and the height of ax3

I need this for the following project (it's an animation):

Imagine having ax1 as the world space in which a point is moving. (the coordinates should not be warped)
The adjacent plots show the x(ax3) and y(ax2) coordinates of the point over time. (I want to be able to set the aspect ratio of these subplots)
The last axes/plot is not related to any of the coordinates but should fit in nicely.

I created a minimal example and added descriptive text to the picture:

import matplotlib.pyplot as plt

fig = plt.figure()

ax1 = plt.subplot(221, anchor='SE', aspect=1, xlim=(0,1), ylim=(0,2))
ax2 = plt.subplot(222, anchor='SW', box_aspect=1, sharey=ax1, xlim=(0,3))
ax3 = plt.subplot(223, anchor='NE', box_aspect=1, sharex=ax1, ylim=(0,4))
ax4 = plt.subplot(224, anchor='NW', xlim=(0,5), ylim=(0,6))

plt.show()

Notes:

the anchors are set so there is not so much whitespace between the subplots
the x and y limits are arbitrarily chosen and should not matter

Safari-TF · Accepted Answer · 2021-12-09 22:20:42Z

0

I encountered a similar issue as I was plotting GeoJson data in matplotlib.
I solved it by creating a one subplot figure setting aspect=1

# import the required libraries
import geopandas as gpd
import matplotlib.pyplot as plt

# Define the file path
fp = r"\Your-file-full-path\file.geojson"

# Read the GeoJSON file similarly as Shapefile
mygeojson = gpd.read_file(fp)


# Create a figure with one subplot
fig = plt.figure()

# Plot the grid with column-to-plot (as you set cmap, scheme, and aspect hyper-params)
mygeojson.plot(aspect=1, column = 'geojson-column-to-plot', cmap = 'gist_rainbow', scheme = 'equalinterval', k=9, linewidth=0, legend=True);

# Add title
plt.title("Your GeoDataFrame object title");

# Remove white space around the figure
plt.tight_layout()

answered Dec 9, 2021 at 22:20

Safari-TF

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