Here is how I am plotting my heatmap:
import matplotlib.pyplt as plt
ax = plt.gca()
im = ax.imshow(values)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size='5%', pad=0.05)
plt.colorbar(im, cax=cax)
Now I would like to create a 2x2 subplot, with 4 different heatmaps, and all having the same heatbar. I am completely clueless on how to achieve that, and would appreciate any nudge into the right direction.
You can do this using AxesGrid
from mpl_toolkits.axes_grid1
. See the example here (Specifcally, look at the function demo_grid_with_single_cbar
in that example).
I've modified that example slightly, for your case of a 2x2 grid with colorbar on the right.
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid
# Some random data
values1 = np.random.rand(10,10)
values2 = np.random.rand(10,10)
values3 = np.random.rand(10,10)
values4 = np.random.rand(10,10)
vals = [values1,values2,values3,values4]
fig = plt.figure()
grid = AxesGrid(fig, 111,
nrows_ncols=(2, 2),
axes_pad=0.05,
share_all=True,
label_mode="L",
cbar_location="right",
cbar_mode="single",
)
for val, ax in zip(vals,grid):
im = ax.imshow(val, vmin=0, vmax=1)
grid.cbar_axes[0].colorbar(im)
for cax in grid.cbar_axes:
cax.toggle_label(False)
plt.show()
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