[Python] Is there a function to filter a dataframe by a column value and produce a dictionary?

In python pandas, I'm wondering if there is a builtin function that does the same as df_to_dict below. Speed is of the essence, as my dataframe can have thousands of rows. Basically return a dictionary with keys being the set of values in df[column] and the values being the rest of the dataframe corresponding to where df[column] == value.


def df_to_dict(df, column):
def _filter(df, column, value):
df_return = df[df[column] == value]
del df_return[column]
return df_return

return {value: _filter(df, column, value) for value in set(df[column].values)}

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