﻿ NumPy: Count the number of days of specific month - w3resource

# NumPy: Count the number of days of specific month

## NumPy DateTime: Exercise-3 with Solution

Write a NumPy program to count the number of days of specific month.

Sample Solution:

Python Code:

``````# Importing necessary libraries
import numpy as np

# Calculating the number of days in February 2016 using datetime64
print("Number of days, February, 2016: ")
print(np.datetime64('2016-03-01') - np.datetime64('2016-02-01'))

# Calculating the number of days in February 2017 using datetime64
print("Number of days, February, 2017: ")
print(np.datetime64('2017-03-01') - np.datetime64('2017-02-01'))

# Calculating the number of days in February 2018 using datetime64
print("Number of days, February, 2018: ")
print(np.datetime64('2018-03-01') - np.datetime64('2018-02-01'))
``````

Sample Output:

```Number of days, February, 2016:
29 days
Number of days, February, 2017:
28 days
Number of days, February, 2018:
28 days
```

Explanation:

In the above exercise –

np.datetime64('2016-03-01') - np.datetime64('2016-02-01') - This code subtracts the datetime '2016-02-01' from '2016-03-01' using the '-' operator provided by NumPy.

np.datetime64('2017-03-01') - np.datetime64('2017-02-01') - This code does the same operation as above, but with dates from 2017. The result is a timedelta of 28 days, since February has 28 days in 2017.

np.datetime64('2018-03-01') - np.datetime64('2018-02-01') - This code does the same operation as above, but with dates from 2018. The result is also a timedelta of 28 days, since February still has 28 days in 2018.

Pictorial Presentation:

Python-Numpy Code Editor:

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