Pandas: Date range using a startpoint date and a number of periods
Write a Pandas program to create a date range using a startpoint date and a number of periods.
Sample Solution:
Python Code :
import pandas as pd
date_range = pd.date_range('2020-01-01', periods=45)
print("Date range of perods 45:")
print(date_range)
Sample Output:
Date range of perods 45: DatetimeIndex(['2020-01-01', '2020-01-02', '2020-01-03', '2020-01-04', '2020-01-05', '2020-01-06', '2020-01-07', '2020-01-08', '2020-01-09', '2020-01-10', '2020-01-11', '2020-01-12', '2020-01-13', '2020-01-14', '2020-01-15', '2020-01-16', '2020-01-17', '2020-01-18', '2020-01-19', '2020-01-20', '2020-01-21', '2020-01-22', '2020-01-23', '2020-01-24', '2020-01-25', '2020-01-26', '2020-01-27', '2020-01-28', '2020-01-29', '2020-01-30', '2020-01-31', '2020-02-01', '2020-02-02', '2020-02-03', '2020-02-04', '2020-02-05', '2020-02-06', '2020-02-07', '2020-02-08', '2020-02-09', '2020-02-10', '2020-02-11', '2020-02-12', '2020-02-13', '2020-02-14'], dtype='datetime64[ns]', freq='D')
Python Code Editor:
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Previous: Write a Pandas program to create a time series object that has time indexed data. Also select the dates of same year and select the dates between certain dates.
Next: Write a Pandas program to create a whole month of dates in daily frequencies. Also find the maximum, minimum timestamp and indexs.
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