我正在尝试绘制数据帧的 2 列(一列作为条形图,另一列作为散点图)。我可以使用 Matplotlib 来实现此功能,但我希望使用 Seaborn 来实现它。
这是代码:
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = pd.DataFrame({'Announced Year': [2016, 2017, 2018, 2019],
'Amount Awarded': [12978216, 11582629, 11178338, 11369267],
'Number of Awarded': [18, 14, 13, 13]})
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
sns.scatterplot(x="Announced Year", y="Number of Awarded", data=df, ax=ax2)
sns.barplot(x="Announced Year", y="Amount Awarded", data=df, ax=ax1)
fig.tight_layout() # otherwise the right y-label is slightly clipped
plt.title('2016 to 2019 Announcements')
最佳答案
您可以使用 x=np.arange(0,len(df))
而不是 x="Announced Year"
来绘制共享 x 轴 散点图。
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
sns.barplot(x="Announced Year", y="Amount Awarded", data=df, ax=ax2, alpha=.5)
sns.scatterplot(x=np.arange(0,len(df)), y="Number of Awarded", data=df, ax=ax1)
fig.tight_layout() # otherwise the right y-label is slightly clipped
plt.title('2016 to 2019 Announcements')
关于python - 具有共享 x 轴的 Seaborn 图,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58785983/