Generate Datetime format output .
import pandas as pd 
my_data=pd.date_range(start='10/20/2019', end='02/14/2020',freq='M')
We created one date range by using date_range() and then used strftime() to format the output. Here is the output
Index(['31-Oct-2019', '30-Nov-2019', '31-Dec-2019', '31-Jan-2020'], dtype='object')
Here is a list of directives can be used to create formatted output.
Weekday%aWeekday Name ( local )
%AWeekday Name ( in Full )
%wWeekday as decimal number(0 Sun, 1 Mon,)
%WWeek number of the year (00,53) Mon as first day of week
%UWeek number of the year (00,53) Sun as first day of week
Day%dDay of the month as number ( 01,02,31)
%jDay of the year as number ( 001,284,336)
Month%bMonth name ( Oct, Nov)
%BMonth name ( October, November)
%mMonth number (01,12)
Year%yYear short 2 digit ( 01,20)
%YYear Full 4 digit ( 2001,2020)
%fYear Fiscal short 2 digit ( 01,20)
%FYear Fiscal Full 4 digit ( 2001,2020)
Hour%HHour 24 hour clock ( 01,23)
%IHour 12 hour clock ( 01,11)
Minute%MMinute as number ( 00,01,59)
Second%SSecond as decimal number ( 00,61)
AM/PM%pAM / PM local time
Time Zone%ZTime Zone name
Local%xLocal Date
%XLocal Time
%cLocal Date & Time
Quater%qQuater as number ( 01,04)
Pandas date & time to_datetime() period_range() date_range()
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