Pandas value_counts returns an object containing counts of unique values in sorted order. The resulting object elements include descending order so that the first element is the most frequently-occurring element. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type.

The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.

Pandas value_counts()

Pandas value_counts() function returns the Series containing counts of unique values. The resulting object will be in descending order so that the first element is the most frequently-occurring element. It excludes NA values by default.

Let’s see the syntax for the value_counts() method in  Python Pandas Library.

Series.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)

All the parameters are optional.

normalize: boolean, default False. If True, then the object returned will contain the relative frequencies of the unique values.

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