NumPy: Find the number of weekdays in March 2017

Last update on March 29 2025 13:04:47 (UTC/GMT +8 hours)

6. Number of Weekdays in March 2017

Write a NumPy program to find the number of weekdays in March 2017.

Note: "busday" default of Monday through Friday being valid days.

Sample Solution:

Python Code:

# Importing the required libraries
import numpy as np

# Finding the number of weekdays in March 2017 using numpy's busday_count function
# '2017-03' indicates the start of the period (March 2017)
# '2017-04' indicates the end of the period (April 2017), but this day is not counted
# The function calculates the number of weekdays (excluding weekends) between the provided dates
print("Number of weekdays in March 2017:")
print(np.busday_count('2017-03', '2017-04')) 

Sample Output:

Number of weekdays in March 2017:                                      
23 

Explanation:

The above NumPy exercise returns the number of business days between the start and end dates (inclusive) excluding weekends and any holidays that fall in-between.

np.busday_count('2017-03', '2017-04'):

In the above code –

• np.busday_count() function is used to calculate the number of business days between two dates.
• The first argument '2017-03' is the start date, and the second argument '2017-04' is the end date (exclusive).
• The function returns the number of business days between these two dates, which is the number of weekdays excluding any holidays that occur in between.
• In this case, it returns 23 because March 2017 has 23 weekdays

Pictorial Presentation:

For more Practice: Solve these Related Problems:

• Calculate the number of business days in March 2017 using np.busday_count with default settings.
• Create a function that takes a month and year and returns the count of weekdays by generating an array of dates and applying np.is_busday.
• Compare the computed weekday count for March 2017 with that of another month to analyze differences.
• Implement a solution that identifies the indices of all weekdays in March 2017 and verifies the total count matches expected values.

Python-Numpy Code Editor:

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