在 matplotlib 中将 x 轴移动到绘图的顶部 [英] Moving x-axis to the top of a plot in matplotlib

问题描述

基于 这个关于 matplotlib 中热图的问题，我想移动 x- 轴标题到图的顶部.

Based on this question about heatmaps in matplotlib, I wanted to move the x-axis titles to the top of the plot.

import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4,4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

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

# want a more natural, table-like display
ax.invert_yaxis()
ax.xaxis.set_label_position('top') # <-- This doesn't work!

ax.set_xticklabels(row_labels, minor=False)
ax.set_yticklabels(column_labels, minor=False)
plt.show()

但是，调用 matplotlib 的 set_label_position(如上所述)似乎没有达到预期的效果.这是我的输出:

However, calling matplotlib's set_label_position (as notated above) doesn't seem to have the desired effect. Here's my output:

我做错了什么?

推荐答案

使用

ax.xaxis.tick_top()

在图像顶部放置刻度线.命令

to place the tick marks at the top of the image. The command

ax.set_xlabel('X LABEL')    
ax.xaxis.set_label_position('top') 

影响标签，而不是刻度线.

affects the label, not the tick marks.

import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4, 4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

# 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)

# want a more natural, table-like display
ax.invert_yaxis()
ax.xaxis.tick_top()

ax.set_xticklabels(column_labels, minor=False)
ax.set_yticklabels(row_labels, minor=False)
plt.show()

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