使用matplotlib更改python条形图中日期时间数据的x轴刻度标签的频率

import matplotlib.pyplot as plt
import matplotlib.dates as mdates

fig, ax = plt.subplots()

dates = [datetime.date(2022, 1, 1), datetime.date(2022, 1, 2), datetime.date(2022, 1, 3), ...]
values = [10, 15, 8, ...]

dates = mdates.date2num(dates)

ax.bar(dates, values)

ax.xaxis.set_major_locator(mdates.DayLocator(interval=1))  # 设置刻度间隔为1天
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))  # 设置刻度标签的显示格式为年-月-日

fig.autofmt_xdate(rotation=45)

import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

fig, ax = plt.subplots()

dates = [datetime.date(2022, 1, 1), datetime.date(2022, 1, 2), datetime.date(2022, 1, 3), ...]
values = [10, 15, 8, ...]

dates = mdates.date2num(dates)

ax.bar(dates, values)

ax.xaxis.set_major_locator(mdates.DayLocator(interval=1))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))

fig.autofmt_xdate(rotation=45)

plt.show()