import pandas as pd
from plotnine import *       
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']

---

记录时间(time)、收缩压(SBP)、舒张压(DBP)：

df = pd.DataFrame({ 'time': ['2023-11-01 08:30', '2023-11-02 21:00', '2023-11-03 18:30', '2023-11-04 21:00'],'SBP': [120, 118, 122, 150],'DBP': [80, 78, 82, 96] })# df为：time  SBP  DBP
0  2023-11-01 08:30  120   80
1  2023-11-02 21:00  118   78
2  2023-11-03 18:30  122   82
3  2023-11-04 21:00  150   96

---

宽转长：

df = df.melt(id_vars='time', value_vars=['SBP', 'DBP'], var_name='BP', value_name='value')
# df为：time   BP  value
0  2023-11-01 08:30  SBP    120
1  2023-11-02 21:00  SBP    118
2  2023-11-03 18:30  SBP    122
3  2023-11-04 21:00  SBP    150
4  2023-11-01 08:30  DBP     80
5  2023-11-02 21:00  DBP     78
6  2023-11-03 18:30  DBP     82
7  2023-11-04 21:00  DBP     96

---

绘图：

print(ggplot(df, aes(y='value', x='time', colour='BP'))+ geom_line(aes(group='BP'))     + geom_point(aes(shape='BP'))+ theme_bw()+ labs(title='blood pressure', y='blood pressure (mmHg)', x='')+ theme(axis_text_x=element_text(angle=45))+ theme(plot_title=element_text(hjust=0.5))
)

希望各位朋友注意自己、亲人、朋友的血压水平，这很重要！！！