Pandas Convert Column as Datetime/Timestamp (String, Epoch Seconds)

import pandas as pd items = [  {'date': '2020-01-01', 'score': 1},  {'date': '2020-01-01', 'score': 2},  {'date': '2020-01-01', 'score': 3}]df = pd.DataFrame(items) df['date'] = pd.to_datetime(df['date'], format='%Y-%m-%d')

        date  score
0 2022-01-01      1
1 2022-01-02      2
2 2022-01-03      3

import pandas as pd items = [  {'date': '1640995200', 'score': 1},  {'date': '1641081600', 'score': 2},  {'date': '1641168000', 'score': 3}]df = pd.DataFrame(items) df['date'] = pd.to_datetime(df['date'], unit="s")

        date  score
0 2022-01-01      1
1 2022-01-02      2
2 2022-01-03      3

import pandas as pd items = [  {'date': '1640995200000', 'score': 1},  {'date': '1641081600000', 'score': 2},  {'date': '1641168000000', 'score': 3}]df = pd.DataFrame(items) df['date'] = pd.to_datetime(df['date'], unit="ms")

        date  score
0 2022-01-01      1
1 2022-01-02      2
2 2022-01-03      3

import datetimeimport pandas as pditems = [  {'date': datetime.datetime(2020, 1, 1), 'score': 1},  {'date': datetime.datetime(2020, 1, 2), 'score': 2},  {'date': datetime.datetime(2020, 1, 3), 'score': 3}]df = pd.DataFrame(items)