[英]How to change the font size of axes labels of a histogram
I created a histogram of string occurrences based on a column of a pandas dataframe. 我基于熊猫数据框的列创建了字符串出现的直方图。 The strings are quite long so when I plot the histogram, the labels get cut off. 字符串很长,因此当我绘制直方图时,标签会被切除。 How do I change the size of the tick labels? 如何更改刻度标签的大小?
I am aware of set_xticklabels, but I'm not quite sure how to use this with the histogram I created. 我知道set_xticklabels,但是我不太确定如何将其与我创建的直方图一起使用。
Here's how I created my histogram: 这是我创建直方图的方式:
assignments_df[['Major:']].apply(pd.value_counts).plot(kind = 'bar', subplots = True)
plt.savefig('Major_Distribution.png')
plt.xtics()
Look into the fontsize
argument of plt.xticks()
: 查看plt.xticks()
的fontsize
参数:
df = pd.DataFrame({'x':np.random.rand(20) // .01,
'y':np.random.rand(20) // .01})
df.plot(kind='bar')
plt.xticks(fontsize=8)
plt.show()
You could also look into rotating your tick labels: 您还可以考虑旋转刻度线标签:
# Different example data:
df = pd.DataFrame({'x':['abcdedf','abcdef','abcde','abcd'],
'y':np.random.rand(4) // .01})
df.plot(kind='bar', x='x', y='y')
plt.xticks(fontsize=8, rotation=45)
plt.show()
Yet another option is to make your bar chart horizontal. 另一个选择是使条形图水平。 It still takes up space (horizontal rather than vertical) but makes longer labels easier to read. 它仍然占用空间(水平而不是垂直),但使较长的标签更易于阅读。
df = pd.DataFrame({'x':['abcdedf','abcdef','abcde','abcd'],
'y':np.random.rand(4) // .01})
plt.barh('x', 'y', data=df)
plt.show()
To change the font size you can use, assuming you have imported matplotlib.pyplot as plt 要更改字体大小,可以使用,假设您已将matplotlib.pyplot导入为plt
plt.xlabel('xlabel', fontsize=10)
plt.ylabel('ylabel', fontsize=10)
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