how to sort pandas dataframe from one column

To sort a Pandas DataFrame based on the values in a column, you can use the sort_values() method of the DataFrame. This method takes a column name as an argument, and sorts the DataFrame based on the values in that column. By default, the sort_values() method will sort the values in ascending order.

Here's an example of how to use sort_values() to sort a DataFrame by the values in the 'Price' column:

import pandas as pd

# Load the data
df = pd.read_csv('data.csv')

# Sort the DataFrame by the 'Price' column
df.sort_values(by='Price')

This will sort the DataFrame in ascending order based on the values in the 'Price' column.

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You can also specify the ascending parameter to control the direction of the sort. Setting ascending=False will sort the DataFrame in descending order.

For example:

# Sort the DataFrame by the 'Price' column in descending order
df.sort_values(by='Price', ascending=False)

You can also sort the DataFrame by multiple columns by passing a list of column names to the by parameter.

For example:

# Sort the DataFrame by the 'Price' and 'Quantity' columns
df.sort_values(by=['Price', 'Quantity'])

This will first sort the DataFrame by the 'Price' column in ascending order, and then sort the rows with the same 'Price' value by the 'Quantity' column in ascending order.