Python | pandas.date_range() method

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.date_range() is one of the general functions in Pandas which is used to return a fixed frequency DatetimeIndex.

Syntax: pandas.date_range(start=None, end=None, periods=None, freq=None, tz=None, normalize=False, name=None, closed=None, **kwargs)

Parameters:
start : Left bound for generating dates.
end : Right bound for generating dates.
periods : Number of periods to generate.
freq : Frequency strings can have multiples, e.g. ‘5H’. See here for a list of frequency aliases.
tz : Time zone name for returning localized DatetimeIndex. By default, the resulting DatetimeIndex is timezone-naive.
normalize : Normalize start/end dates to midnight before generating date range.
name : Name of the resulting DatetimeIndex.
closed : Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None, the default).

Returns: DatetimeIndex

Code #1:

# importing pandas as pd
import pandas as pd

per1 = pd.date_range(start ='1-1-2018',
         end ='1-05-2018', freq ='5H')

for val in per1:
    print(val)

Output:

Code #2:

# importing pandas as pd
import pandas as pd

dRan1 = pd.date_range(start ='1-1-2018',
           end ='8-01-2018', freq ='M')

dRan2 = pd.date_range(start ='1-1-2018',
         end ='11-01-2018', freq ='3M')

print(dRan1, '\n\n', dRan2)

Output:

Code #3:

# importing pandas as pd
import pandas as pd

# Specify start and periods, the number of periods (days).
dRan1 = pd.date_range(start ='1-1-2018', periods = 13)

# Specify end and periods, the number of periods (days).
dRan2 = pd.date_range(end ='1-1-2018', periods = 13)

# Specify start, end, and periods; the frequency
# is generated automatically (linearly spaced).
dRan3 = pd.date_range(start ='01-03-2017',
            end ='1-1-2018', periods = 13)

print(dRan1, "\n\n", dRan2, '\n\n', dRan3)

Output:

Code #4:

# importing pandas as pd
import pandas as pd

# Specify start and periods, the number of periods (days).
dRan1 = pd.date_range(start ='1-1-2018',
       periods = 13, tz ='Asia / Tokyo')

dRan1

Output: