Pandas ValueError: Buffer has wrong number of dimensions (expected 1, got 2)

Question

Task: I am trying to categorize numerical values of age into the ranges 'young', 'adult', and 'elderly' through binning.

A question with a similar error was asked before but it was not answered.

Is there possibly any other alternatives to performing the intended task?

Here is my code:

bins = np.linspace(dataframe['Age'], max(dataframe['Age']), 4)
bins.sort()
group_names = ['young', 'adult', 'elderly']
dataframe['Age-binned'] = pd.cut(
                        dataframe['Age'], bins, 
                        labels = group_names, 
                        include_lowest = True
                        )

The error comes from the line:

dataframe['Age-binned'] = pd.cut(
                        dataframe['Age'], bins, 
                        labels = group_names, 
                        include_lowest = True
                        )

and yields:

ValueError: Buffer has wrong number of dimensions (expected 1, got 2)

Answer 1

Did you try bins = np.linspace(min(dataframe['Age']), max(dataframe['Age']), 4)?