在具有相同日期时间轴的子图之间添加垂直线

Question

我一直在尝试在具有相同DateTime x轴的子图之间添加一条垂直线。我使用的代码是：

import datetime as dt
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import pickle

# Import data for minimum reproducible example #
file_to_read = open("example.dat", "rb")

B = pickle.load(file_to_read)

file_to_read.close()

## I would like to use something like this to locate the 
## point that correspond to that datetime and plot the vertical line
dt2 = pd.to_datetime("2018-10-31 06:43:10.000000")
dt3  = pd.to_datetime("2018-10-31 06:43:35.600000")

s2  = B.index.unique().get_loc(dt2, method='nearest')
s2a  = B.index.unique().get_loc(dt3, method='nearest')


size=21
int1=1
fig, axs = plt.subplots(2, sharex=True)

axs[1].plot(B.L,linewidth=3,label='$B_{z}$')
axs[1].plot(B.M,linewidth=3,label='$B_{y}$')
axs[1].plot(B.N,linewidth=3,label='$B_{x}$')
axs[1].tick_params(axis='both',labelsize=size-3)
axs[1].legend( fontsize=size)
axs[1].legend(frameon=False, loc='upper left', ncol=3, fontsize=size)
axs[1].set_ylim([-80,50])
axs[1].set_ylabel(r'$B_{NML} \ (nT)$', fontsize=size)


axs[0].plot(B.Total,linewidth=3,color='black',label='$|B|$')
axs[0].legend(loc=4, fontsize=size)
axs[0].legend(frameon=False, loc='lower left', ncol=1, fontsize=size)
axs[0].tick_params(axis='both',labelsize=size-3)
axs[0].set_ylim([0,90])
axs[0].set_ylabel(r'$B_{tot} \ (nT)$', fontsize=size)

## axis limits ##
axs[0].set_xlim([dt2, dt3])

## Add title ##
fig.text(0.5, 0.9, '2018 Oct 31', ha='center', va='center',fontsize=size)

## Gap between subplots
plt.subplots_adjust(wspace=0.01, hspace=0.12)

## add vertical line ##
line = plt.Line2D((.42,.42),(.125,.88),color='b',linewidth=1)
line2 = plt.Line2D((.55,.55),(.125,.88),color='b',linewidth=1)
fig.add_artist(line)
fig.add_artist(line2)


plt.plot()

我可以添加一条垂直线，但我想自动执行此过程。例如，插入datetime并绘制它，而不是猜测图形中与该日期时间相对应的点。例如，使用下面这样的内容：

dt2 = pd.to_datetime("2018-10-31 06:43:10.000000")
dt3  = pd.to_datetime("2018-10-31 06:43:35.600000")

s2  = B.index.unique().get_loc(dt2, method='nearest')
s2a  = B.index.unique().get_loc(dt3, method='nearest')

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最小可重复性示例所需的数据可在以下位置找到：https://www.dropbox.com/s/w9gblp3dc361nw6/example.dat?dl=0

Answer 1

就像@MrFuppes所说的，如果你不关心在两个子数字之间没有一条线，axvline就足够了：

dt5 = B.index[5]
dt10 = B.index[10]
    
axs[0].axvline(dt5, color='r', ls='dashed')
axs[1].axvline(dt5, color='r', ls='dashed')
    
axs[0].axvline(dt10, color='k', ls='dashed')
axs[1].axvline(dt10, color='k', ls='dashed')

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