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# Explain how series data structure in Python can be created using scalar/constant values?

Scalar or constant values are defined once, and they are repeated across all rows/entries of the series data structure. Following is an example −

## Example

import pandas as pd my_index = ['ab', 'mn' ,'gh','kl'] my_series = pd.Series(7, index = my_index) print("This is series data structure created using scalar values and specifying index values") print(my_series)

## Output

This is series data structure created using scalar values and specifying index values ab 7 mn 7 gh 7 kl 7 dtype: int64

## Explanation

- The required libraries are imported, and their alias are given so that it is easy to use them.
- A list of index values are created.
- A constant value is passed to ‘Series’ function present in the ‘pandas’ library.
- Along with it, the index list is also passed.
- It is then displayed on the console.

If the index values are not customized, default values beginning from 0 are taken. Since, only one constant value is specified, there will be a single entry in the series data structure. It has been demonstrated below −

## Example

import pandas as pd my_series = pd.Series(7) print("This is series data structure created using scalar values and default index values") print(my_series)

## Output

This is series data structure created using scalar values and default index values 0 7 dtype: int64

## Explanation

The required libraries are imported, and their alias are given so that it is easy to use them.

A constant value is passed to ‘Series’ function present in the ‘pandas’ library.

It is then displayed on the console.

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