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Sorting categorical columns in Pandas DataFrame

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Data Manipulation Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Consider the following DataFrame:

import pandas as pd

df = pd.DataFrame({
'class':['economy','first','business','first','economy'],
'price':[4,10,7,8,3]})
df
class price
0 economy 4
1 first 10
2 business 7
3 first 8
4 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 price
0 economy 4
4 economy 3
2 business 7
1 first 10
3 first 8
robocat
Published by Isshin Inada
Edited by 0 others
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