Sort a Pandas Series

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.