Web Reference: Jul 15, 2025 · Filtering a Pandas DataFrame by column values is a common and essential task in data analysis. It allows to extract specific rows based on conditions applied to one or more columns, making it easier to work with relevant subsets of data. Let's start with a quick example to illustrate the concept: The accepted answer shows how to filter rows in a pandas DataFrame based on column values using .loc. Use == to select rows where the column equals a value. Use .isin () to select rows where the column value is in a list. The inner square brackets define a Python list with column names, whereas the outer square brackets are used to select the data from a pandas DataFrame as seen in the previous example.
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