python – matplotlib: colorbars and its text labels

python – matplotlib: colorbars and its text labels

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import ListedColormap

#discrete color scheme
cMap = ListedColormap([white, green, blue,red])

data = np.random.rand(4, 4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=cMap)

cbar = plt.colorbar(heatmap)[])
for j, lab in enumerate([$0$,$1$,$2$,$>3$]):, (2 * j + 1) / 8.0, lab, ha=center, va=center) = 15 of contacts, rotation=270)

# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[1]) + 0.5, minor=False)
ax.set_yticks(np.arange(data.shape[0]) + 0.5, minor=False)

column_labels = list(ABCD)
row_labels = list(WXYZ)
ax.set_xticklabels(column_labels, minor=False)
ax.set_yticklabels(row_labels, minor=False)

You were very close. Once you have a reference to the color bar axis, you can do what ever you want to it, including putting text labels in the middle. You might want to play with the formatting to make it more visible.


To add to tacaswells answer, the colorbar() function has an optional cax input you can use to pass an axis on which the colorbar should be drawn. If you are using that input, you can directly set a label using that axis.

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

fig, ax = plt.subplots()
heatmap = ax.imshow(data)
divider = make_axes_locatable(ax)
cax = divider.append_axes(bottom, size=10%, pad=0.6)
cb = fig.colorbar(heatmap, cax=cax, orientation=horizontal)

cax.set_xlabel(data label)  # cax ==

python – matplotlib: colorbars and its text labels

This will make you add label and change colorbars tick and label size:

clb=plt.colorbar() Label,fontsize=8)

This can be also used if you have sublots:

cax = plt.axes([0.1, 0, 0.8, 0.01]) #Left,bottom, length, width
clb=plt.colorbar(cax=cax,orientation=horizontal) Label,fontsize=8)

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