关于python：Matplotlib直方图标签文本拥挤

Matplotlib histogram label text crowded

我在matplotlib中制作直方图，每个bin的文本标签彼此重叠，如下所示：
enter image description here

我尝试按照另一种解决方案旋转x轴上的标签

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cuisine_hist = plt.hist(train.cuisine, bins=100)
cuisine_hist.set_xticklabels(rotation=45)
plt.show()

但是我收到错误消息'tuple' object has no attribute 'set_xticklabels'。为什么？我该如何解决这个问题？或者，如何"转置"绘图，使标签位于垂直轴上？

plt.hist的返回值不是用于运行函数set_xticklabels的返回值：

运行该功能的是matplotlib.axes._subplots.AxesSubplot，您可以从此处获得：

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fig, ax = plt.subplots(1, 1)
cuisine_hist = ax.hist(train.cuisine, bins=100)
ax.set_xticklabels(rotation=45)
plt.show()

从plt.hist的"帮助"中：

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Returns
-------
n : array or list of arrays
The values of the histogram bins. See *normed* or *density*

bins : array
The edges of the bins. ...

patches : list or list of lists
...

这可能有用，因为它与旋转标签有关。

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import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [1, 4, 9, 6]
labels = ['Frogs', 'Hogs', 'Bogs', 'Slogs']

plt.plot(x, y, 'ro')
# You can specify a rotation for the tick labels in degrees or with keywords.
plt.xticks(x, labels, rotation='vertical')
# Pad margins so that markers don't get clipped by the axes
plt.margins(0.2)
# Tweak spacing to prevent clipping of tick-labels
plt.subplots_adjust(bottom=0.15)
plt.show()

所以我认为

1	plt.xticks(x, labels, rotation='vertical')

在这里很重要。

干得好。我将两个答案集中在一个示例中：

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# create figure and ax objects, it is a good practice to always start with this
fig, ax = plt.subplots()

# then plot histogram using axis
# note that you can change orientation using keyword
ax.hist(np.random.rand(100), bins=10, orientation="horizontal")

# get_xticklabels() actually gets you an iterable, so you need to rotate each label
for tick in ax.get_xticklabels():
tick.set_rotation(45)

它产生带有旋转的X线和水平直方图的图形。
enter image description here