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Python | pandas.period_range() method

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  • Last Updated : 17 Dec, 2018
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Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

pandas.period_range() is one of the general functions in Pandas which is used to return a fixed frequency PeriodIndex, with 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:




# importing 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, "\n\n", per2)

Output:

 

Code #2:




# importing 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:




# importing pandas as pd
import pandas as pd
  
# Calling with pd.Period
per = pd.period_range(start = pd.Period('2017Q1', freq ='Q'),
                end = pd.Period('2018Q2', freq ='Q'), freq ='M')
  
for val in per:
    print(val)

Output:


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