pandas 更改 seaborn boxplot 中的 X 轴标签
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Changing X axis labels in seaborn boxplot
提问by Tars
I have a pandas dataframe with multiple columns I am trying to plot the column "Score" (on x axis) with another column called "interest rate". I am using the following commands:
我有一个包含多列的 Pandas 数据框，我试图用另一列名为“利率”的列绘制“分数”列（在 x 轴上）。我正在使用以下命令：
box_plot=sns.boxplot(x=list(Dataframe['Score']),y=list(Dataframe['Interest.Rate']),data=Dataframe)
box_plot.set(xlabel='FICO Score',ylabel='Interest Rate')
This works fine and it create a boxplot with appropriate axes. Seems like I have to pass the variables as list in boxplot function. Maybe there is better way to do it.
这很好用，它创建了一个带有适当轴的箱线图。似乎我必须在 boxplot 函数中将变量作为列表传递。也许有更好的方法来做到这一点。
The problem is x axis labels are too crowded and are not readable so I don't want them all too print, only some of them for better readability.
问题是 x 轴标签太拥挤且不可读，所以我不希望它们全部打印，只有其中一些以获得更好的可读性。
I have tried multiple options with xticks and xticklabel functions but none of them seem to work.
我已经尝试了 xticks 和 xticklabel 函数的多个选项，但它们似乎都不起作用。
回答by Serge
you could do simply this:
你可以简单地这样做：
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv('your_data.csv', index_col=0)
sns.boxplot(
x='Score',
y='Interest.Rate',
data=data
).set(
xlabel='FICO Score',
ylabel='Interest Rate'
)
plt.show()
回答by MaxU
try it this way:
试试这样：
box_plot=sns.boxplot(x='Score', y='Interest.Rate',data=Dataframe)
instead of converting pandas series to lists
而不是将Pandas系列转换为列表
if you need help with the X axis please post sample data setwhich helps to reproduce your problem.
如果您需要有关 X 轴的帮助，请发布有助于重现您的问题的示例数据集。
