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Python Pandas - Extract the frequency object as a string from the DateTimeIndex
To extract the frequency object as a string from the DateTimeIndex, use the DateTimeIndex.freqstr 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 −
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 as a string −
print("DateTimeIndex frequency as string...\n", datetimeindex.freqstr)
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)
# display DateTimeIndex frequency as a string
print("DateTimeIndex frequency as string...\n", datetimeindex.freqstr)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> DateTimeIndex frequency as string... D
Updated on: 18-Oct-2021
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