基于this question about heatmaps in matplotlib,我想将x轴标题移动到绘图的顶部。
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()
然而,调用matplotlib's set_label_position (如上所述)似乎并没有达到预期的效果。下面是我的输出:
我做错了什么?
发布于 2013-01-19 03:42:59
使用
ax.xaxis.tick_top()
若要在图像顶部放置刻度线,请执行以下操作。该命令
ax.set_xlabel('X LABEL')
ax.xaxis.set_label_position('top')
影响标签,而不是刻度线。
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()
发布于 2013-01-19 03:42:31
你想要set_ticks_position
而不是set_label_position
ax.xaxis.set_ticks_position('top') # the rest is the same
这给了我:
发布于 2013-10-03 16:00:40
tick_params对于设置记号属性非常有用。可以使用以下命令将标签移动到顶部:
ax.tick_params(labelbottom=False,labeltop=True)
https://stackoverflow.com/questions/14406214
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