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Python Pandas - Return DatetimeIndex as object ndarray of datetime.datetime objects
To return DatetimeIndex as object ndarray of datetime.datetime objects, use the datetimeindex.to_pydatetime() method.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 5 and frequency as Y i.e. year −
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)Return DatetimeIndex as object ndarray −
print("\nReturn DatetimeIndex as object ndarray of datetime.datetime objects...\n",
datetimeindex.to_pydatetime())Example
Following is the code −
import pandas as pd
# DatetimeIndex with period 5 and frequency as Y i.e. year
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# Return DatetimeIndex as object ndarray
print("\nReturn DatetimeIndex as object ndarray of datetime.datetime objects...\n",
datetimeindex.to_pydatetime())Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-12-31 07:20:32.261811624', '2023-12-31 07:20:32.261811624', '2025-12-31 07:20:32.261811624', '2027-12-31 07:20:32.261811624', '2029-12-31 07:20:32.261811624'], dtype='datetime64[ns]', freq='2A-DEC') DateTimeIndex frequency... <2 * YearEnds: month=12> Return DatetimeIndex as object ndarray of datetime.datetime objects... [datetime.datetime(2021, 12, 31, 7, 20, 32, 261811) datetime.datetime(2023, 12, 31, 7, 20, 32, 261811) datetime.datetime(2025, 12, 31, 7, 20, 32, 261811) datetime.datetime(2027, 12, 31, 7, 20, 32, 261811) datetime.datetime(2029, 12, 31, 7, 20, 32, 261811)]
Updated on: 19-Oct-2021
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