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# Sorting categorical columns in Pandas DataFrame

schedule Aug 12, 2023
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Consider the following DataFrame:

``` import pandas as pddf = pd.DataFrame({ 'class':['economy','first','business','first','economy'], 'price':[4,10,7,8,3]})df class price0 economy 41 first 102 business 73 first 84 economy 3 ```

The `class` column is a categorical with ordering (`economy` < `business` < `first`).

The goal is to sort the DataFrame based on the `class` column. To do so, we first convert `class` into a categorical type, and set the ordering using the second parameter. At this point, the column has not yet been sorted, and so we use `sort_values()` to perform the sort:

``` df['class'] = pd.Categorical(df['class'], ["economy", "business", "first"])df_new = df.sort_values('class')df_new class price0 economy 44 economy 32 business 71 first 103 first 8 ```
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