使用matplotlib的pyplot在每个单元格中带有文本的热图 [英] Heatmap with text in each cell with matplotlib's pyplot

问题描述

我使用 matplotlib.pyplot.pcolor()使用matplotlib绘制热图:

I use matplotlib.pyplot.pcolor() to plot a heatmap with matplotlib:

import numpy as np
import matplotlib.pyplot as plt    

def heatmap(data, title, xlabel, ylabel):
    plt.figure()
    plt.title(title)
    plt.xlabel(xlabel)
    plt.ylabel(ylabel)
    c = plt.pcolor(data, edgecolors='k', linewidths=4, cmap='RdBu', vmin=0.0, vmax=1.0)
    plt.colorbar(c)

def main():
    title = "ROC's AUC"
    xlabel= "Timeshift"
    ylabel="Scales"
    data =  np.random.rand(8,12)
    heatmap(data, title, xlabel, ylabel)
    plt.show()

if __name__ == "__main__":
    main()

可以通过任何方式在每个单元格中添加相应的值，例如:

Is any way to add the corresponding value in each cell, e.g.:

(来自Matlab的可定制的热图)

(from Matlab's Customizable Heat Maps)

(尽管我很想知道将来的情况，但我目前的应用程序不需要其他的%)

(I don't need the additional % for my current application, though I'd be curious to know for the future)

推荐答案

您需要通过调用axes.text()添加所有文本，下面是一个示例:

You need to add all the text by calling axes.text(), here is an example:

import numpy as np
import matplotlib.pyplot as plt    

title = "ROC's AUC"
xlabel= "Timeshift"
ylabel="Scales"
data =  np.random.rand(8,12)


plt.figure(figsize=(12, 6))
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(ylabel)
c = plt.pcolor(data, edgecolors='k', linewidths=4, cmap='RdBu', vmin=0.0, vmax=1.0)

def show_values(pc, fmt="%.2f", **kw):
    from itertools import izip
    pc.update_scalarmappable()
    ax = pc.get_axes()
    for p, color, value in izip(pc.get_paths(), pc.get_facecolors(), pc.get_array()):
        x, y = p.vertices[:-2, :].mean(0)
        if np.all(color[:3] > 0.5):
            color = (0.0, 0.0, 0.0)
        else:
            color = (1.0, 1.0, 1.0)
        ax.text(x, y, fmt % value, ha="center", va="center", color=color, **kw)

show_values(c)

plt.colorbar(c)

输出:

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