torch.py

def dataframe_to_arrays(dataframe):
    # Make a copy of the original dataframe
    data1 = data.copy(deep=True)
    # Convert non-numeric categorical columns to numbers
    for col in categorical_cols:
        data1[col] = data1[col].astype('category').cat.codes
    # Extract input & outupts as numpy arrays
    inputs_array = data1[input_cols].to_numpy()
    targets_array = data1[output_cols].to_numpy()
    return inputs_array, targets_array