# NumPy: Display all the dates for the month of March, 2017

## NumPy DateTime: Exercise-1 with Solution

Write a NumPy program to display all the dates for the month of March, 2017.

**Sample Solution**:-

**Python Code:**

```
import numpy as np
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']

**Pictorial Presentation:**

**Python-Numpy Code Editor:**

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## Python: Tips of the Day

**Decompose a collection:**

Assume we have a function that returns a tuple of two values and we want to assign each value to a separate variable. One way is to use indexing as below:

abc = (5, 10) x = abc[0] y = abc[1] print(x, y)

Output:

5 10

There is a better option that allows us to do the same operation in one line.

x, y = abc print(x, y)

Output:

5 10

It can be extended to a tuple with more than 2 values or some other data structures such as lists or sets.

x, y, z = {1, 2, 3} print(x, y, z) x, y, z = ['a', 'b', 'c'] print(x, y, z)

Output:

1 2 3 a b c

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