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Python Pandas - Convert the DateTimeIndex to Series excluding the TimeZone
To convert the DateTimeIndex to Series excluding the TimeZone, use the datetimeindex.tz_convert(None).to_series(). The tz.convert(None) is used to exclude the timezone.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 5 and frequency as S i.e. seconds −
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Convert DateTimeIndex to Series. Use the "tz_convert()" and set it to "None" to exclude the TimeZone −
print("\nDateTimeIndex to series excluding the TimeZone...\n",
datetimeindex.tz_convert(None).to_series())Example
Following is the code −
import pandas as pd
# DatetimeIndex with period 5 and frequency as S i.e. seconds
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# Convert DateTimeIndex to Series
# Use the "tz_convert()" and set it to "None" to exclude the TimeZone
print("\nDateTimeIndex to series excluding the TimeZone...\n",
datetimeindex.tz_convert(None).to_series())Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30', '2021-10-18 07:21:12.261811624+10:30', '2021-10-18 07:21:52.261811624+10:30', '2021-10-18 07:22:32.261811624+10:30', '2021-10-18 07:23:12.261811624+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='40S') DateTimeIndex frequency... <40 * Seconds> DateTimeIndex to series excluding the TimeZone... 2021-10-17 20:50:32.261811624 2021-10-17 20:50:32.261811624 2021-10-17 20:51:12.261811624 2021-10-17 20:51:12.261811624 2021-10-17 20:51:52.261811624 2021-10-17 20:51:52.261811624 2021-10-17 20:52:32.261811624 2021-10-17 20:52:32.261811624 2021-10-17 20:53:12.261811624 2021-10-17 20:53:12.261811624 Freq: 40S, dtype: datetime64[ns]
Updated on: 19-Oct-2021
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