Pandas has a method called .sort_values() which gives the user an easy to sort any column in a Pandas DataFrame

We define a sample DataFrame

import pandas as pd

# We read a sample dataset from the web.
df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')

You can download it here if the above script doesn't work for you and read it like so

import pandas as pd

# We read a sample dataset
df = pd.read_csv('./iris.csv')

Sorting values

One column sorting

df.sort_values("sepal_length")

It is by default in the ascending order, if you want the reverse you can use the ascending parameter.

df.sort_values("sepal_length", ascending=False)

Two columns sorting

It is possible to sort by one or more columns.

Python will take the first column as primary filter then will use the second as secondary filter, etc...

In order to perform a two or more columns sorting, you will need to put the columns of interest within a list.

df.sort_values(["sepal_length", "sepal_width"])

Here you are ! You now know how to sort values using Pandas.