Pandas Filter | Pandas.DataFrame.filter() in Python Example

Pandas Dataframe.filter() is an inbuilt function that is used to subset columns or rows of DataFrame according to labels in the particular index.

Pandas Dataframe.filter() is an inbuilt function that is used to subset columns or rows of DataFrame according to labels in the particular index. The DataFrame filter() returns subset the DataFrame rows or columns according to the detailed index labels. One thing to note that this routine does not filter a DataFrame on its contents. The filter() function is applied to the labels of the index.

How To Filter Pandas Dataframe

Python Pandas allows us to slice and dice the data in multiple ways. Often, you may want to subset a pandas dataframe based on one or more values of a specific column. Necessarily, we would like to select rows based on one value or multiple values present in a column.

To filter data in Pandas, we have the following options.

1. Use Pandas filter() method.
2. Use Pandas query() function
3. Use Pandas DataFrame indices.

pandas python

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