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')convert timestamp to period pandas
timestamp = pd.Timestamp('2017-1-24')
timestamp.to_period('M')pandas change dtype to timestamp
pd.to_datetime(df.column)convert column to timestamp pandas
df2 = pd.to_datetime(df['col1'])
df2pandas.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'from unix timestamp to datetime pandas
# convert unix timestamp to datetime UTC
df['datetime'] = df['_ts'].map(lambda x: pendulum.from_timestamp(x))
df = df.set_index('datetime')
# convert timezone from UTC to GMT+7
df.index = df.index.tz_convert('Asia/Bangkok')Copyright © 2021 Codeinu
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