[英]Boxplot with different y-axes and different y-scales in seaborn
I am trying to create a boxplot with different y-axes and y-scales in seaborn but got stuck here.我正在尝试在 seaborn 中创建一个具有不同 y 轴和 y 比例的箱线图,但被困在这里。
In matplotlib I can use the following code to obtain my result:在 matplotlib 我可以使用以下代码来获得我的结果:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# create random dataframe with different scales
df = pd.DataFrame(np.random.rand(30, 5), columns=['A', 'B', 'C', 'D', 'E'])
df['A'] *= 5
df['C'] *= 10
df['E'] *= 15
# create boxplot with a different y scale for different rows
selection = ['A', 'C', 'E']
fig, ax = plt.subplots(1, len(selection), figsize=(10, len(selection)))
i = 0
for col in selection:
axo = df[col].plot(kind='box', ax=ax[i], showfliers=False, grid=True)
axo.set_ylim(df[col].min(), df[col].max())
axo.set_ylabel(col + ' / Unit')
i += 1
plt.tight_layout()
plt.show()
which yields:产生:
I have tried to replace the actual boxplot using a seaborn boxplot but it did not work.我尝试使用 seaborn 箱线图替换实际的箱线图,但它没有用。
Now my question is: How can I obtain the same plotting result using seaborn?现在我的问题是:如何使用 seaborn 获得相同的绘图结果?
Thanks in advance for your help!在此先感谢您的帮助!
Cheers Cord欢呼线
I found a solution on my own:我自己找到了解决方案:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# create random dataframe with different scales
df = pd.DataFrame(np.random.rand(30, 5), columns=['A', 'B', 'C', 'D', 'E'])
df['A'] *= 5
df['C'] *= 10
df['E'] *= 15
# create boxplot with a different y scale for different rows
selection = ['A', 'C', 'E']
fig, axes = plt.subplots(1, len(selection))
for i, col in enumerate(selection):
ax = sns.boxplot(y=df[col], ax=axes.flatten()[i])
ax.set_ylim(df[col].min(), df[col].max())
ax.set_ylabel(col + ' / Unit')
plt.show()
yields:产量:
Thanks anyway!不管怎么说,还是要谢谢你!
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