To return an Index of formatted strings specified by date format, use the DateTimeIndex.strftime() method in Pandas.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 7 and frequency as D i.e. days −
datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=7, tz='Australia/Adelaide', freq='2D')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)Formatted −
print("\nFormat with different directives...\n",
datetimeindex.strftime('%b. %d, %Y was a %A'))Example
Following is the code −
import pandas as pd
# DatetimeIndex with period 7 and frequency as D i.e. days
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=7, tz='Australia/Adelaide', freq='2D')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("\nDateTimeIndex frequency...\n", datetimeindex.freq)
# display the result
print("\nFormat with different directives...\n",
datetimeindex.strftime('%b. %d, %Y was a %A'))Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-10-30 02:30:50+10:30', '2021-11-01 02:30:50+10:30', '2021-11-03 02:30:50+10:30', '2021-11-05 02:30:50+10:30', '2021-11-07 02:30:50+10:30', '2021-11-09 02:30:50+10:30', '2021-11-11 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='2D') DateTimeIndex frequency... <2 * Days> Format with different directives... Index(['Oct. 30, 2021 was a Saturday', 'Nov. 01, 2021 was a Monday', 'Nov. 03, 2021 was a Wednesday', 'Nov. 05, 2021 was a Friday', 'Nov. 07, 2021 was a Sunday', 'Nov. 09, 2021 was a Tuesday', 'Nov. 11, 2021 was a Thursday'], dtype='object')