A DataFrame is a two-dimensional size-mutable tabular data structure with rows and columns that can hold any data type. It is a crucial data structure in the pandas library, a popular library for data manipulation and analysis in Python.
We can use the sort_values() method of a pandas DataFrame to sort the data by one or more columns. This method returns a new DataFrame sorted by the specified columns.
Here is how you can sort Pandas dataframe;
Fig 1: Preview of the output that you will get on running this code from your Jupyter notebook
In this solution, we use the sort_values function of the Pandas library
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for "sort pandas dataframe" in kandi. You can try any such use case!
Python 36769 Version:1.5.2
Python 36769 Version:1.5.2 License: Permissive (BSD-3-Clause)
If you do not have Pandas that is required to run this code, you can install it by clicking on the above link and following the installation instruction from either Github or Pypi links through the Pandas page in kandi.
You can search for any dependent library on kandi like Pandas.
I tested this solution in the following versions. Be mindful of changes when working with other versions.
Using this solution, we are able to sort a Dataframe using the Pandas library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us read data in Pandas.
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