In [1]:
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_clipboard()
In [2]:
df
Out[2]:
| Time_golden | Golden | is_golden | |||
|---|---|---|---|---|---|
| 0 | 2019 | -03-20 | 10:24:30 | 98.6 | golden |
| 1 | 2019 | -03-20 | 11:10:30 | 97.0 | golden |
| 2 | 2019 | -03-20 | 13:13:30 | 96.0 | golden |
| 3 | 2019 | -03-21 | 13:43:16 | 95.0 | golden |
| 4 | 2019 | -03-23 | 10:37:11 | 94.6 | golden |
| 5 | 2019 | -03-23 | 18:43:19 | 93.0 | golden |
| 6 | 2019 | -03-24 | 22:19:43 | 92.0 | golden |
| 7 | 2019 | -03-25 | 09:23:45 | 90.0 | golden |
| 8 | 2019 | -03-26 | 11:42:51 | 89.0 | golden |
| 9 | 2019 | -03-27 | 20:32:51 | 87.3 | golden |
| 10 | 2019 | -03-27 | 23:42:51 | 86.0 | golden |
| 11 | 2019 | -03-28 | 00:52:23 | 84.0 | golden |
| 12 | 2019 | -03-28 | 03:40:40 | 82.3 | golden |
In [4]:
xg = df['Time_golden']
yg = df['Golden']
In [6]:
plt.xticks(rotation=45)
plt.scatter(xg, yg)
Out[6]:
<matplotlib.collections.PathCollection at 0x18f9b650160>
