Coding Ref

To sort a Pandas series, you can use the `sort_values()`

method. This method allows you to sort the data in the series by the values in the series, either in ascending or descending order.

Here's an example of using the `sort_values()`

method to sort a Pandas series:

main.py

```
import pandas as pd
# create a sample series
s = pd.Series([3, 2, 1, 4, 5])
# sort the series in ascending order
s_sorted = s.sort_values()
# display the result
print(s_sorted)
```

This will sort the data in the series in ascending order, based on the values in the series.

The output will be:

output

```
2 1
1 2
0 3
3 4
4 5
dtype: int64
```

You can also use the `sort_values()`

method to specify the sorting order.

For example:

main.py

```
# sort the series in descending order
s_sorted = s.sort_values(ascending=False)
# display the result
print(s_sorted)
```

This will sort the data in the series in descending order, based on the values in the series.

The output will be:

output

```
4 5
3 4
0 3
1 2
2 1
dtype: int64
```

The `sort_values()`

method is a convenient way to sort the data in a Pandas series by the values in the series. You can specify the sorting order (ascending or descending) to control the order of the data in the sorted series.

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