从数据框中绘制多条线

Question

I have the following table:

Time	Type	Usage1 [%]	Usage2 [%]
2021-07-09 09:00 DST	LG1	60.0581	87.4926
2021-07-09 09:00 DST	LG2	42.1409	40.57
2021-07-09 09:00 DST	LG3	63.433	49.9326
2021-07-09 10:00 DST	LG1	53.6577	86.6658
2021-07-09 10:00 DST	LG2	36.384	41.7439
2021-07-09 10:00 DST	LG3	54.5699	54.0306
2021-07-10 09:00 DST	LG1	35.2818	75.8487
2021-07-10 09:00 DST	LG2	34.101	37.7934
2021-07-10 09:00 DST	LG3	50.4009	46.8263
2021-07-10 10:00 DST	LG1	39.3575	78.3179
2021-07-10 10:00 DST	LG2	50.3955	43.3913
2021-07-10 10:00 DST	LG3	52.2898	51.8793
2021-07-11 09:00 DST	LG1	36.8559	71.9565
2021-07-11 09:00 DST	LG2	31.1939	35.8108
2021-07-11 09:00 DST	LG3	44.6744	49.5196
2021-07-11 10:00 DST	LG1	43.9611	74.5974
2021-07-11 10:00 DST	LG2	39.075	36.9884
2021-07-11 10:00 DST	LG3	41.0939	45.0962

I want the x-axis to be Time, and then plot a line in the graph for Usage1 and Usage2 for each Type. So in total, since there are 3 different Types, there should be a total of 6 lines. So far I've tried the following code but it plots a single line for each Usage:

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

df = pd.read_excel (r'plot.xlsx')

plt.plot( 'Time', 'Usage1 [%]', data=df, marker='o', linewidth=2, label='Type')
plt.plot( 'Time', 'Usage2 [%]', data=df, marker='o', linewidth=2, label='Type')
plt.legend(loc='best')

Answer 1

You will need to reshape your data to look like this using pandas.melt :

                    Time  Type    variable    value
0  2021-07-09 09:00 DST   LG1   Usage1 [%]  60.0581
1  2021-07-09 09:00 DST   LG2   Usage1 [%]  42.1409
2  2021-07-09 09:00 DST   LG3   Usage1 [%]  63.4330
3  2021-07-09 10:00 DST   LG1   Usage1 [%]  53.6577
4  2021-07-09 10:00 DST   LG2   Usage1 [%]  36.3840

Then you can use seaborn.lineplot :

import seaborn as sns
df['Time'] = pd.to_datetime(df['Time'])
sns.lineplot(data=df.melt(id_vars=['Time', 'Type']), x='Time', hue='Type', style='variable', y='value')

output:

NB. to ensure consistent time handling, it is better to use the datetime format for your time column.