Python 你如何在 Pandas 的时间序列图上绘制一条垂直线？
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How do you plot a vertical line on a time series plot in Pandas?
提问by aetodd
How do you plot a vertical line (vlines) in a Pandas series plot? I am using Pandas to plot rolling means, etc and would like to mark important positions with a vertical line. Is it possible to use vlines or something similar to accomplish this? If so, could someone please provide an example? In this case, the x axis is date-time.
如何在 Pandas 系列图中绘制垂直线（vlines）？我正在使用 Pandas 绘制滚动方式等，并想用垂直线标记重要位置。是否可以使用 vlines 或类似的东西来实现这一点？如果是这样，有人可以提供一个例子吗？在这种情况下，x 轴是日期时间。
回答by tacaswell
回答by zbinsd
If you have a time-axis, and you have Pandas imported as pd, you can use:
如果您有时间轴，并且将 Pandas 导入为 pd，则可以使用：
ax.axvline(pd.to_datetime('2015-11-01'), color='r', linestyle='--', lw=2)
For multiple lines:
对于多行：
xposition = [pd.to_datetime('2010-01-01'), pd.to_datetime('2015-12-31')]
for xc in xposition:
ax.axvline(x=xc, color='k', linestyle='-')
回答by Roman Orac
DataFrame plot function returns AxesSubplot object and on it, you can add as many lines as you want. Take a look at the code sample below:
DataFrame plot 函数返回 AxesSubplot 对象，您可以在其上添加任意数量的行。看看下面的代码示例：
%matplotlib inline
import pandas as pd
df = pd.DataFrame(index=pd.date_range("2019-07-01", "2019-07-31"))
df["y"] = pd.np.logspace(0, 1, num=len(df))
ax = df.plot()
# you can add here as many lines as you want
ax.axhline(6, color="red", linestyle="--")
ax.axvline("2019-07-24", color="red", linestyle="--")
