本文介绍了标签直方图按bins matplotlib的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个直方图,我想在其中用垃圾桶标记x轴.直方图以对数对数图的形式绘制,但是分格非常具体.该图:
I have a histogram in which I want to label the x-axis by bins. The histogram is plotted as a log log graph, but the bins are very specific. The graph:
垃圾箱:
bins = [0, 0.035, 0.07, 0.15, 0.5, 1, 3, 10, 40]
有什么办法可以做到这一点?我相信这也需要摆脱当前的x轴标签.
Is there any way I can do this? I believe it would also require getting rid of the current x-axis labels.
推荐答案
我为您编写了一个示例代码.基本上,您只需要'set_xticks'和'set_xticklabels'.
I wrote an example code for you. Basically, all you need was 'set_xticks' and 'set_xticklabels'.
import numpy as np
import matplotlib.pyplot as plt
x = [0.01, 0.01, 0.01, 0.04, 0.1, 0.1, 0.4, 0.4, 0.4, 0.4, 0.65, 0.65, 0.65, 2, 7, 7, 7, 7, 7, 7, 7, 7, 18, 18, 18]
my_bins = [0.001, 0.035, 0.07, 0.15, 0.5, 1, 3, 10, 40]
ind = np.array(my_bins[:-1])
width = np.array([my_bins[i+1]-my_bins[i] for i in range(len(my_bins)-1)])
fig, ax = plt.subplots()
ax.hist(x, bins=my_bins)
ax.set_xscale('log')
ax.set_xticks(ind + width/2)
ax.set_xticklabels(('bin1', 'bin2', 'bin3', 'bin4', 'bin5', 'bin6', 'bin7', 'bin8'))
plt.show()
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