pandas.period_range() — this is one of the main functions in Pandas that is used to return a fixed frequency PeriodIndex, with the day (calendar) as the default frequency.
Syntax: pandas.to_numeric ( arg, errors = ’raise’, downcast = None)
Parameters:
start: Left bound for generating periods
end: Right bound for generating periods
periods: Number of periods to generate
freq: Frequency alias
name: Name of the resulting PeriodIndex
Returns: PeriodIndex
Code # 1:
| # import pandas as pd import pandas as pd
# period_range with freq = day per1 = pd.period_range (start = ’2018-12-20’ , end = ’2019-01-01’ , freq = ’D’ )
# period_range with freq = month per2 = pd.period_range (start = ’2018-12-20’ , end = ’ 2019-12-01’ , freq = ’M’ ) print (per1, "" , per2) |
Output:
Code # 2:
| # import pandas as pd import pandas as pd
# period_range with freq = day per1 = pd.period_range (start = ’ 2018-12-20’ , end = ’2019-01-01 ’ , freq = ’ D’ ) for val in per1: print (val) |
Output:
Code # 3:
| # import pandas as pd import pandas as pd
# Call with pd.Period per = pd.period_range (start = pd.Period ( ’2017Q1’ , freq = ’ Q ’ ), end = pd.Period ( ’2018Q2’ , freq = ’Q’ ), freq = ’M’ ) f or val in per: print (val) |
Output:
