![]() ![]() from matplotlib import colors import matplotlib.pyplot as plt import numpy as np np.ed(19680801) Nr 3 Nc 2 fig, axs plt.subplots(Nr, Nc) fig.suptitle('Multiple images') images for i in range(Nr): for j in range(Nc): Generate data with a. You might want to play with the formatting to make it more visible. Make a set of images with a single colormap, norm, and colorbar. lorbar() retrieve an existing colorbar, that you can do following (and upvoting :)) what I wrote here: How to retrieve colorbar instance from figure in matplotlib then: cb.remove() plt. 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. When the ranges of data (data1 and data2) sets are unknown and you want to use the same colour bar for both/all plots, find the overall minimum and maximum to use as vmin and vmax in the call to imshow: import numpy as np import matplotlib.pyplot as plt fig, axes plt.subplots (nrows1, ncols2) generate randomly populated arrays data1. holding the colorbar in a value at the moment of creation, as shown in other answers e.g. How can this be achieved?įor j, lab in enumerate():Ĭbar.ax.text(.5, (2 * j + 1) / 8.0, lab, ha='center', va='center')Ĭbar.ax.set_ylabel('# of contacts', rotation=270) The code below may explain: triang Triangulation (x,y) plt.tricontourf (triang, z, vmax1., vmin0.) plt.colorbar () The colorbar is still fixed to the limits of the data z, although the cmap range is now fixed. import matplotlib.pyplot as plt import numpy as np from lors import ListedColormap discrete color scheme cMap ListedColormap('white', 'green', 'blue','red') data np.ed(42) data np.random.rand(4, 4) fig, ax plt.subplots. Setting a range for an image cmap is easy but this does not apply the same range to the minimum and maximum values of the colorbar. Ideally I'd like to generate a legend bar which has the four colors and for each color, a label in its center: 0,1,2,>3. I'd like to create a colorbar legend for a heatmap, such that the labels are in the center of each discrete color.Example borrowed from here. # put the major ticks at the middle of each cellĪx.set_xticks(np.arange(data.shape) + 0.5, minor=False)Īx.set_yticks(np.arange(data.shape) + 0.5, minor=False)Īx.set_xticklabels(column_labels, minor=False)Īx.set_yticklabels(row_labels, minor=False) The colorbar colormap was not linked to the axes (note also the incorrect colorbar limits): from matplotlib import pyplot as plt from mpltoolkits.mplot3d import Axes3D fig plt.figure() ax fig.addsubplot(111, projection'3d') data np.random.rand(3, 100) x, y, z data for show c np.arange(len(x)) / len(x) create some colours p ax. ![]() Example borrowed from here: import matplotlib.pyplot as pltįrom lors import ListedColormapĬMap = ListedColormap()Ĭbar.ax.set_yticklabels()Ĭbar.set_label('# of contacts', rotation=270) Using the above answer did not solve my problem. I'd like to create a colorbar legend for a heatmap, such that the labels are in the center of each discrete color.
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