import pandas as pd
= pd.read_csv('rates.csv', parse_dates=['Time'])
df df.head()
Time | USD | JPY | BGN | CZK | DKK | GBP | CHF | |
---|---|---|---|---|---|---|---|---|
0 | 2024-01-17 | 1.0877 | 160.65 | 1.9558 | 24.755 | 7.4586 | 0.85818 | 0.9406 |
1 | 2024-01-16 | 1.0882 | 159.64 | 1.9558 | 24.710 | 7.4582 | 0.86078 | 0.9361 |
2 | 2024-01-15 | 1.0945 | 159.67 | 1.9558 | 24.714 | 7.4590 | 0.86075 | 0.9351 |
3 | 2024-01-12 | 1.0942 | 159.17 | 1.9558 | 24.689 | 7.4565 | 0.85950 | 0.9350 |
4 | 2024-01-11 | 1.0987 | 159.71 | 1.9558 | 24.659 | 7.4568 | 0.86145 | 0.9338 |