Filters in PandasGUI
Let’s Suppose we want to see the rows where the value of MSSubClass is greater than or equal to 120. In pandas, we can do that using the following command:-
Python3
df[df[ 'total_bill' ] > = 40 ] |
Output:
PandasGUI provides us with filters where you can write query expressions to filter the data. The query expression for the above will be:
You can write this query expression in Filters and click on Add Filter to apply it. Let’s take a look at the data in the picture below. As you can see the filters were applied successfully.
Data Exploration using Pandas GUI
Data Preprocessing is an important part of the Data Science pipeline, you need to find out about various irregularities in the data, you manipulate your features, etc. Pandas is a tool that we use very often for manipulating the data, along with seaborn and matplotlib for Data Visualization. PandasGUI is a library that makes this task much easier by providing a GUI interface that can be used to make
Installing PandasGUI
You can install PandasGUI like any other python library using the pip command. The command for the same is:-
pip install pandasgui