NumPy: Display all the dates for the month of March, 2017
Write a NumPy program to display all the dates for the month of March, 2017.
Sample Solution:-
Python Code:
# Importing necessary libraries
import numpy as np
# Displaying the specified range of dates in March 2017 using NumPy's arange function
print("March, 2017")
print(np.arange('2017-03', '2017-04', dtype='datetime64[D]'))
Sample Output:
March, 2017 ['2017-03-01' '2017-03-02' '2017-03-03' '2017-03-04' '2017-03-05' '2017-03-06' '2017-03-07' '2017-03-08' '2017-03-09' '2017-03-10' '2017-03-11' '2017-03-12' '2017-03-13' '2017-03-14' '2017-03-15' '2017-03-16' '2017-03-17' '2017-03-18' '2017-03-19' '2017-03-20' '2017-03-21' '2017-03-22' '2017-03-23' '2017-03-24' '2017-03-25' '2017-03-26' '2017-03-27' '2017-03-28' '2017-03-29' '2017-03-30' '2017-03-31']
Explanation:
print(np.arange('2017-03', '2017-04', dtype='datetime64[D]'))
In the above code –
The interval starts on March 1, 2017 ('2017-03') and ends on March 31, 2017 (the last day before April 1st, '2017-04'). The interval is defined in terms of the number of days between the start and end dates using the datetime64[D] data type, which represents a date as a 64-bit integer, where each unit corresponds to one day.
Therefore, the code generates an array of numpy.datetime64 objects, where each element in the array represents a single day within the specified interval, and the values are separated by one day. The resulting array contains 31 elements, one for each day in March 2017.
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