Python 如何在matplotlib中在x轴上显示日期和时间
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How to show date and time on x axis in matplotlib
提问by Anton Protopopov
I would like to assign for x axis in matplotlib plot full date with time but with autoscale I could get only times or dates but not both. Following code:
我想在 matplotlib 图中为 x 轴分配带有时间的完整日期，但使用自动缩放我只能获得时间或日期，但不能同时获得两者。以下代码：
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2015-10-06', periods=500, freq='10min')
fig, ax = plt.subplots(1)
fig.autofmt_xdate()
plt.plot(times, range(times.size))
plt.show()
And on x axis I get only times without any dates so it's hard to distinct measurements.
在 x 轴上，我只得到没有任何日期的时间，因此很难区分测量值。
I think that it's some option in matplotlib in matplotlib.dates.AutoDateFormatter but I couldn't find any one that could allow me to change that autoscale.
我认为这是 matplotlib.dates.AutoDateFormatter 中 matplotlib 中的一些选项，但我找不到任何可以让我更改自动缩放的选项。
采纳答案by tmdavison
You can do this with a matplotlib.dates.DateFormatter, which takes a strftimeformat string as its argument. To get a day-month-year hour:minuteformat, you can use %d-%m-%y %H:%M:
您可以使用 a 来执行此操作matplotlib.dates.DateFormatter，它将strftime格式字符串作为其参数。要获取day-month-year hour:minute格式，您可以使用%d-%m-%y %H:%M：
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.dates as mdates
times = pd.date_range('2015-10-06', periods=500, freq='10min')
fig, ax = plt.subplots(1)
fig.autofmt_xdate()
plt.plot(times, range(times.size))
xfmt = mdates.DateFormatter('%d-%m-%y %H:%M')
ax.xaxis.set_major_formatter(xfmt)
plt.show()
回答by Yuchao Jiang
plt.figure()
plt.plot(...)
plt.gcf().autofmt_xdate() plt.show()
