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 modulesimport pandas as pd# creating functiondef 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 printedper = 10Time_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.
