Pandas DataFrame value_count() Method. Table Of Contents: Syntax ‘value_count( )’ Method In Pandas. Examples ‘value_count( )’ Method. (1) Syntax: DataFrame.value_counts(subset=None, normalize=False, sort=True, ascending=False, dropna=True Description: Return a Series containing counts of unique rows in the DataFrame. df[‘your_column’].value_counts() – this will return the count of unique occurences in the specified column. It is important to note that value_counts only works on pandas series, not Pandas dataframes. As a result, we only include one bracket df[‘your_column’] and not two brackets df[[‘your_column’]]. Parameters: subset: list-like, optional – Columns to use when counting unique combinations. normalize: bool, default False – Return proportions rather than frequencies. sort: bool,

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