DateTimeIndex को Series में बदलने के लिए, DateTimeIndex.to_series() मेथड का उपयोग करें।
आवश्यक लाइब्रेरी आयात करें
import pandas as pd
DatetimeIndex बनाएं
पीरियड 5 और फ्रीक्वेंसी S (सेकंड) के साथ DatetimeIndex बनाएं। टाइमज़ोन Australia/Adelaide है:
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S')
DateTimeIndex को Series में बदलें
print("\nDateTimeIndex to series...\n", datetimeindex.to_series())
पूर्ण उदाहरण
import pandas as pd
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S')
print("DateTimeIndex...\n", datetimeindex)
print("DateTimeIndex frequency...\n", datetimeindex.freq)
print("\nDateTimeIndex to series...\n", datetimeindex.to_series())
आउटपुट
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...
2021-10-18 07:20:32.261811624+10:30
2021-10-18 07:20:32.261811624+10:30
2021-10-18 07:21:12.261811624+10:30
2021-10-18 07:21:12.261811624+10:30
2021-10-18 07:21:52.261811624+10:30
2021-10-18 07:21:52.261811624+10:30
2021-10-18 07:22:32.261811624+10:30
2021-10-18 07:22:32.261811624+10:30
2021-10-18 07:23:12.261811624+10:30
2021-10-18 07:23:12.261811624+10:30
Freq: 40S, dtype: datetime64[ns, Australia/Adelaide]