在 dates.num2date(x) 之后的 Seaborn 未在图表 lmplot 上显示 X 等于 (x=y=7.51)

Question

在将日期转换为浮点数之后（在 lmplot 中必须使用日期），然后在尝试设置 ax.set_xticklabels X 在右下角的图表上消失，例如。 (x=y=7.51).

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import dates
import seaborn as sns


df1 = pd.DataFrame({'X': ['2020-01-01', '2020-01-03',  '2020-01-03', '2020-01-09'],
                    'Y': [5, 8, 1, 9]})
df2 = pd.DataFrame({'X': pd.date_range('2020.01.01', '2020.01.10').astype(str),
                    'Y': 0})
df3 = pd.merge(df2, df1, how='left', on=['X'])
df3 = df3[['X', 'Y_y']]

x = dates.datestr2num(df3.X)

new_arr = df3['Y_y'].to_numpy()

df4 = pd.DataFrame({'X': x,
                    'Y': new_arr})

ax = sns.lmplot(x='X', y='Y', data=df4)

uniqe_time2num = df4['X'].unique()

date = [date.strftime('%Y-%m-%d') for date in dates.num2date(uniqe_time2num)]

ax.set(xticks=uniqe_time2num, yticks=range(len(df4.Y)))
ax.set_xticklabels(date, rotation=45)  # <-- here

Answer 1

这样可以解决，需要在末尾添加ax.tight_layout()：

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import dates
import seaborn as sns


df1 = pd.DataFrame({'X': ['2020-01-01', '2020-01-03',  '2020-01-03', '2020-01-09'],
                'Y': [5, 8, 1, 9]})
df2 = pd.DataFrame({'X': pd.date_range('2020.01.01', '2020.01.10').astype(str),
                'Y': 0})
df3 = pd.merge(df2, df1, how='left', on=['X'])
df3 = df3[['X', 'Y_y']]

x = dates.datestr2num(df3.X)

new_arr = df3['Y_y'].to_numpy()

df4 = pd.DataFrame({'X': x,
                'Y': new_arr})

ax = sns.lmplot(x='X', y='Y', data=df4)

uniqe_time2num = df4['X'].unique()

date = [date.strftime('%Y-%m-%d') for date in dates.num2date(uniqe_time2num)]

ax.set(xticks=pd.to_numeric(uniqe_time2num), yticks=range(len(df4.Y)))
ax.set_xticklabels(date, rotation=45)  # <-- here
ax.tight_layout() # <-0 fix here, makes sure everything looks fine in the fig