Pandas: Create a period index represent all monthly boundaries of a given year
Write a Pandas program to create a period index represent all monthly boundaries of a given year. Also print start and end time for each period object in the said index.
Sample Solution:
Python Code :
import pandas as pd
import datetime
from datetime import datetime, date
sdt = datetime(2020, 1, 1)
edt = datetime(2020, 12, 31)
dateset = pd.period_range(sdt, edt, freq='M')
print("All monthly boundaries of a given year:")
print(dateset)
print("\nStart and end time for each period object in the said index:")
for d in dateset:
print ("{0} {1}".format(d.start_time, d.end_time))
Sample Output:
All monthly boundaries of a given year: PeriodIndex(['2020-01', '2020-02', '2020-03', '2020-04', '2020-05', '2020-06', '2020-07', '2020-08', '2020-09', '2020-10', '2020-11', '2020-12'], dtype='period[M]', freq='M') Start and end time for each period object in the said index: 2020-01-01 00:00:00 2020-01-31 23:59:59.999999999 2020-02-01 00:00:00 2020-02-29 23:59:59.999999999 2020-03-01 00:00:00 2020-03-31 23:59:59.999999999 2020-04-01 00:00:00 2020-04-30 23:59:59.999999999 2020-05-01 00:00:00 2020-05-31 23:59:59.999999999 2020-06-01 00:00:00 2020-06-30 23:59:59.999999999 2020-07-01 00:00:00 2020-07-31 23:59:59.999999999 2020-08-01 00:00:00 2020-08-31 23:59:59.999999999 2020-09-01 00:00:00 2020-09-30 23:59:59.999999999 2020-10-01 00:00:00 2020-10-31 23:59:59.999999999 2020-11-01 00:00:00 2020-11-30 23:59:59.999999999 2020-12-01 00:00:00 2020-12-31 23:59:59.999999999
Python Code Editor:
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Previous: Write a Pandas program to calculate one, two, three business day(s) from a specified date. Also find the next business month end from a specific date.
Next: Write a Pandas program create a series with a PeriodIndex which represents all the calendar month periods in 2029 and 2031. Also print the values for all periods in 2030.
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