Created
February 6, 2019 22:48
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Gist for the following Stack Overflow question: https://stackoverflow.com/questions/54545758/create-equal-aspect-square-plot-with-multiple-axes-when-data-limits-are-differ
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import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.gridspec as grid | |
from mpl_toolkits.axes_grid1 import make_axes_locatable, axes_size | |
def joint_plot(x, y, ax=None): | |
""" | |
Create a square joint plot of x and y. | |
""" | |
if ax is None: | |
ax = plt.gca() | |
divider = make_axes_locatable(ax) | |
xhax = divider.append_axes("top", size=1, pad=0.1, sharex=ax) | |
yhax = divider.append_axes("right", size=1, pad=0.1, sharey=ax) | |
ax.scatter(x, y) | |
xhax.hist(x) | |
yhax.hist(y, orientation="horizontal") | |
x0,x1 = ax.get_xlim() | |
y0,y1 = ax.get_ylim() | |
ax.set_aspect(abs(x1-x0)/abs(y1-y0)) | |
plt.sca(ax) | |
return ax, xhax, yhax | |
def color_plot(x, y, colors, ax=None): | |
if ax is None: | |
ax = plt.gca() | |
divider = make_axes_locatable(ax) | |
cbax = divider.append_axes("right", size="5%", pad=0.1) | |
sc = ax.scatter(x, y, marker='o', c=colors, cmap='RdBu') | |
plt.colorbar(sc, cax=cbax) | |
ax.set_aspect("equal") | |
plt.sca(ax) | |
return ax, cbax | |
if __name__ == "__main__": | |
_, axes = plt.subplots(nrows=2, ncols=2, figsize=(9,6)) | |
# Plot 1 | |
x = np.random.normal(100, 17, 120) | |
y = np.random.normal(0.5, 0.1, 120) | |
joint_plot(x, y, axes[0,0]) | |
# Plot 2 | |
x = np.random.normal(100, 17, 120) | |
y = np.random.normal(100, 17, 120) | |
c = np.random.normal(100, 17, 120) | |
color_plot(x, y, c, axes[0,1]) | |
# Plot 3 | |
x = np.random.normal(100, 17, 120) | |
y = np.random.normal(0.5, 0.1, 120) | |
c = np.random.uniform(0.0, 1.0, 120) | |
color_plot(x, y, c, axes[1,0]) | |
# Plot 4 | |
x = np.random.normal(0.5, 0.1, 120) | |
y = np.random.normal(0.5, 0.1, 120) | |
joint_plot(x, y, axes[1,1]) | |
plt.tight_layout() | |
plt.show() |
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