[solved] dataframe and read_csv

[snippsat]

hank you. I actually need to further evaluate the data. And if I try it directly with data, I get:

You need to get thee DataFrame out of tuple.
Here a example with some advice.

import pandas as pd
import numpy as np

# Pandas has own datateime do not need to use this
#from datetime import datetime, timedelta

# read data, date_parser=[0]: first column to datetime,
data = pd.read_csv('minimal_data.csv', delimiter = ';', date_parser=[0], usecols=[0, 1], header=0, names=["MyColumn1","MyColumn2"]),

# Get DataFrame out of tupe
df = data[0]
# Convert to datetime64
df['MyColumn1'] = pd.to_datetime(df['MyColumn1'])
print(df.dtypes)
print(df)
print('-' * 30)
print(df.loc[df['MyColumn2'] == 0])

Output:
MyColumn1    datetime64[ns]
MyColumn2             int64
dtype: object
            MyColumn1  MyColumn2
0 2021-09-06 14:35:05        178
1 2021-09-06 14:36:16         59
2 2021-09-06 14:37:26          0
3 2021-09-06 14:38:37          0
4 2021-09-06 14:39:48          0
5 2021-09-06 14:40:59          0
6 2021-09-06 14:42:10          0
7 2021-09-06 14:43:21          0
8 2021-09-06 14:44:32          0
------------------------------
            MyColumn1  MyColumn2
2 2021-09-06 14:37:26          0
3 2021-09-06 14:38:37          0
4 2021-09-06 14:39:48          0
5 2021-09-06 14:40:59          0
6 2021-09-06 14:42:10          0
7 2021-09-06 14:43:21          0
8 2021-09-06 14:44:32          0