Python 在 Seaborn Barplot 上标记轴
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Label axes on Seaborn Barplot
提问by Erin Shellman
I'm trying to use my own labels for a Seaborn barplot with the following code:
我正在尝试使用以下代码为 Seaborn 条形图使用我自己的标签：
import pandas as pd
import seaborn as sns
fake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]})
fig = sns.barplot(x = 'val', y = 'cat',
data = fake,
color = 'black')
fig.set_axis_labels('Colors', 'Values')
However, I get an error that:
但是，我收到一个错误：
AttributeError: 'AxesSubplot' object has no attribute 'set_axis_labels'
What gives?
是什么赋予了？
采纳答案by sascha
Seaborn's barplot returns an axis-object (not a figure). This means you can do the following:
Seaborn 的条形图返回一个轴对象（不是图形）。这意味着您可以执行以下操作：
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
fake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]})
ax = sns.barplot(x = 'val', y = 'cat',
data = fake,
color = 'black')
ax.set(xlabel='common xlabel', ylabel='common ylabel')
plt.show()
回答by Steffi Keran Rani J
One can avoid the AttributeErrorbrought about by set_axis_labels()method by using the matplotlib.pyplot.xlabeland matplotlib.pyplot.ylabel.
可以通过使用and来避免方法AttributeError带来set_axis_labels()的。matplotlib.pyplot.xlabelmatplotlib.pyplot.ylabel
matplotlib.pyplot.xlabelsets the x-axis label while the matplotlib.pyplot.ylabelsets the y-axis label of the current axis.
matplotlib.pyplot.xlabel设置 x 轴标签，同时matplotlib.pyplot.ylabel设置当前轴的 y 轴标签。
Solution code:
解决方案代码：
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
fake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]})
fig = sns.barplot(x = 'val', y = 'cat', data = fake, color = 'black')
plt.xlabel("Colors")
plt.ylabel("Values")
plt.title("Colors vs Values") # You can comment this line out if you don't need title
plt.show(fig)
Output figure:
输出图：
回答by John R
You can also set the title of your chart by adding the title parameter as follows
您还可以通过添加标题参数来设置图表的标题，如下所示
ax.set(xlabel='common xlabel', ylabel='common ylabel', title='some title')
