In this problem we have to sort a Pandas series. We will define an unsorted pandas series and will sort it using the sort_values() function in the Pandas library.
Algorithm
Step 1: Define Pandas series. Step 2: Sort the series using sort_values() function. Step 3: Print the sorted series.
Example Code
import pandas as pd panda_series = pd.Series([18,15,66,92,55,989]) print("Unsorted Pandas Series: \n", panda_series) panda_series_sorted = panda_series.sort_values(ascending = True) print("\nSorted Pandas Series: \n", panda_series_sorted)
Output
Unsorted Pandas Series: 0 18 1 15 2 66 3 92 4 55 5 989 dtype: int64 Sorted Pandas Series: 1 15 0 18 4 55 2 66 3 92 5 989 dtype: int64
Explanation
The ascending parameter in the sort_values() function takes in boolean value. If the value is True, it sorts the series in ascending order. If the value is False, it sorts the value in descending order.