Getting frequency counts of a columns in Pandas DataFrame
Given a Pandas dataframe, we need to find the frequency counts of each item in one or more columns of this dataframe. This can be achieved in multiple ways:
Method #1: Using
This method is applicable to pandas.Series object. Since each DataFrame object is a collection of Series object, we can apply this method to get the frequency counts of values in one column.
Method #2: Using
This method can be used to count frequencies of objects over single columns. After grouping a DataFrame object on one column, we can apply
count() method on the resulting groupby object to get a DataFrame object containing frequency count.
Method #3: Using
This method can be used to count frequencies of objects over single or multiple columns. After grouping a DataFrame object on one or more columns, we can apply
size() method on the resulting groupby object to get a Series object containing frequency count.
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