8 - Pandas' Groupby and pd.Grouper explained | Comprehensive Pandas Tutorial for Beginners

In this tutorial, we'll look at how powerful and useful pandas' Groupby is at data analysis. We'll look at the three step procedure of Split - Apply - Combine that groupby follows, and how to make meaningful use and elucidate our data analytics work.

We'll also have a look at pd.Grouper, and how useful it can be for handling time series data, apart from the normal data that it can also effortlessly work with.

Here is the official pandas' documentation link for the list of valid frequencies that you can pass to pd.Grouper:

https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects

You can check out my github page to find all the relevant Jupyter Notebooks, datasets and other materials that I've used in this video!

Link:

https://github.com/rachittoshniwal/pandasTutorial

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Видео 8 - Pandas' Groupby and pd.Grouper explained | Comprehensive Pandas Tutorial for Beginners канала Rachit Toshniwal