Python Pandas में दिनांक प्रारूप द्वारा निर्दिष्ट स्वरूपित स्ट्रिंग्स का इंडेक्स लौटाएं

Pandas में दिनांक प्रारूप द्वारा निर्दिष्ट स्वरूपित स्ट्रिंग्स का इंडेक्स लौटाने के लिए DateTimeIndex.strftime() मेथड का उपयोग करें।

आवश्यक लाइब्रेरी आयात करें

import pandas as pd

DatetimeIndex बनाएं

पीरियड 7 और आवृत्ति D यानी दिन के साथ DatetimeIndex बनाएं।

datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=7, tz='Australia/Adelaide', freq='2D')

DateTimeIndex प्रदर्शित करें

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

स्वरूपित करें

print("\nFormat with different directives...\n", datetimeindex.strftime('%b. %d, %Y was a %A'))

पूरा उदाहरण

import pandas as pd

# DatetimeIndex with period 7 and frequency as D i.e. days
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=7, tz='Australia/Adelaide', freq='2D')

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

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

# display the result
print("\nFormat with different directives...\n", datetimeindex.strftime('%b. %d, %Y was a %A'))

आउटपुट

DateTimeIndex... DatetimeIndex(['2021-10-30 02:30:50+10:30', '2021-11-01 02:30:50+10:30', '2021-11-03 02:30:50+10:30', '2021-11-05 02:30:50+10:30', '2021-11-07 02:30:50+10:30', '2021-11-09 02:30:50+10:30', '2021-11-11 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='2D')
DateTimeIndex frequency... <2 * Days>
Format with different directives... Index(['Oct. 30, 2021 was a Saturday', 'Nov. 01, 2021 was a Monday', 'Nov. 03, 2021 was a Wednesday', 'Nov. 05, 2021 was a Friday', 'Nov. 07, 2021 was a Sunday', 'Nov. 09, 2021 was a Tuesday', 'Nov. 11, 2021 was a Thursday'], dtype='object')