How to filter rows from a Pandas DataFrame by column values in Python

Filtering rows from a Pandas DataFrame based on column values results in a new DataFrame containing only rows which satisfy a desired condition.

Solution for How to filter rows from a Pandas DataFrame by column values in Python : You can use DataFrame indexing to filter rows from a DataFrame by column values Use the indexing syntax pandas.DataFrame[condition] with condition as a boolean expression to only extract rows with column values which satisfy condition.

Multiple conditions can be used in filtering to be more selective about which rows to extract from the DataFrame. Use the indexing syntax pandas.DataFrame[(condition_1) & (condition_2)], with condition_1 and condition_2 as boolean expressions to only extract rows with column values which satisfy both conditions.

a_dataframe = pd.DataFrame({"Numbers": [1, 2, 3], "Letters": ["a", "b", "c"]})


how-to-filter-rows-from-a-pandas-dataframe-by-column-values-in-python