pd.to_datetime python
import pandas as pd
date='2020/11/26 12:00:00'
date_time=pd.to_datetime(date, format='%Y/%m/%d %H:%M:%S')pd.to_datetime python
import pandas as pd
date='2020/11/26 12:00:00'
date_time=pd.to_datetime(date, format='%Y/%m/%d %H:%M:%S')format date field in pandas
df['date'] = pd.to_datetime(df["date"].dt.strftime('%Y-%m'))apply format to pandas datetime column
formatted_df = df["Date"].dt.strftime("%m/%d/%y")data format pandas
>>> pd.to_datetime('13000101', format='%Y%m%d', errors='ignore')
datetime.datetime(1300, 1, 1, 0, 0)
>>> pd.to_datetime('13000101', format='%Y%m%d', errors='coerce')
NaTpandas.datetime
In [13]: friday = pd.Timestamp('2018-01-05')
In [14]: friday.day_name()
Out[14]: 'Friday'
# Add 1 day
In [15]: saturday = friday + pd.Timedelta('1 day')
In [16]: saturday.day_name()
Out[16]: 'Saturday'
# Add 1 business day (Friday --> Monday)
In [17]: monday = friday + pd.offsets.BDay()
In [18]: monday.day_name()
Out[18]: 'Monday'Copyright © 2021 Codeinu
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