Extract Frequency from DatetimeIndex in Python Pandas

To extract the frequency from the DateTimeIndex, use the DateTimeIndex.freq property in Pandas.

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 6 and frequency as D i.e. day. The timezone is Australia/Adelaide −

datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Adelaide', freq='D')

Display DateTimeIndex −

print("DateTimeIndex...\n", datetimeindex)

Display DateTimeIndex frequency −

print("DateTimeIndex frequency...\n", datetimeindex.freq)

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 6 and frequency as D i.e. day
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Adelaide', freq='D')

# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)

# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:30:50+10:30', '2021-10-21 02:30:50+10:30',
'2021-10-22 02:30:50+10:30', '2021-10-23 02:30:50+10:30',
'2021-10-24 02:30:50+10:30', '2021-10-25 02:30:50+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq='D')
DateTimeIndex frequency...
<Day>