How to print date starting from the given date for n number of days using Pandas?

Last Updated : 23 Jan, 2023

In this article, we will print all the dates starting from the given date for n number days. It can be done using the pandas.date_range() function. This function is used to get 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)

Approach:

Import pandas module
Create a parameter function for computing the Date series between starting date and periods.
Generate sequences of dates between starting and periods with pandas.date_range() within the function
Store into the pandas series within the function
Return the pandas series.

Below is the implementation.

Python3

# Importing modules
import pandas as pd
 
# creating function
def Time_series(date, per):
     
    # computing date range with date
    # and given periods
    date_series = pd.date_range(date, periods=per)
     
    # creating series for date_range
    Result = pd.Series(date_series)
    print(Result)
 
# Driver Code
# Date in the YYYY-MM-DD format 
date = "2020-03-01"
 
# Number of times the date is 
# needed to be printed
per = 10
Time_series(date, per)

Output :

0   2020-03-01
1   2020-03-02
2   2020-03-03
3   2020-03-04
4   2020-03-05
5   2020-03-06
6   2020-03-07
7   2020-03-08
8   2020-03-09
9   2020-03-10
dtype: datetime64[ns]

Time Complexity:

Time complexity of this code is O(1). This algorithm does not involve any loops, so it just takes constant time to execute.

Space Complexity:

Space complexity of this code is O(1). As this code does not involve any extra space, it requires constant space.

Suggest improvement

Python | Pandas tseries.offsets.BusinessDay.freqstr

How to create superuser in Django?

Share your thoughts in the comments