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.