每次更改列中的值后添加垂直线

Question

我有这样的数据：

AccX                    RecordType
0.204742431640625       0
0.204742431640625       0
0.114715576171875       0
0.114715576171875       0
                ...             
0.033111572265625       1
0.033111572265625       1
0.0328826904296875      1
                ...
0.0328826904296875      2
0.0328826904296875      2
0.154434204101562       2

构建情节的代码：

import matplotlib as mpl
mpl.use('MacOSX')

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

data = pd.read_csv('myData.csv')

figsize = (15, 7)
fig,ax = plt.subplots(figsize=figsize)

ax.plot(data['AccX'])

plt.legend()
plt.show()

如何在每次更改记录类型的值后添加行？ 是否可以在行之间的位置添加标题？

我的意思是构造这样的东西：

Answer 1

您可以使用.diff()查找某个时段发生变化的时间，然后使用plt.axvline()

绘制一条垂直线

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

data
AccX                    RecordType
0.204742431640625       0
0.204742431640625       0
0.114715576171875       0
0.114715576171875       0    
0.033111572265625       1
0.033111572265625       1
0.0328826904296875      1
0.0328826904296875      2
0.0328826904296875      2
0.154434204101562       2

# Determine when the RecordType Changes
periods = data[data.RecordType.diff()!=0].index.values

figsize = (12, 5)
fig,ax = plt.subplots(figsize=figsize)

ax.plot(data['AccX'])

# Plot the red vertical lines
for item in periods[1::]:
    plt.axvline(item, ymin=0, ymax=1,color='red')

# Plot the Record Text.
for i in range(len(periods)-1):
    plt.text(y=0.8*data['AccX'].max(), x=(periods[i]+periods[i+1]-1)/2,
        s='Record '+ str(i), color='red', fontsize=18)

plt.text(y=0.8*data['AccX'].max(), x=(periods[-1]+len(data)-1)/2,
    s='Record '+ str(len(periods)-1), color='red', fontsize=18)

plt.legend()
plt.show()