Parsing the numerical output from Sensovation SensoSpot image analysis.
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def split_data_frame(data_frame, column):
""" splits a data frame on unique column values """
values = data_frame[column].unique()
masks = {value: (data_frame[column] == value) for value in values}
return {value: data_frame[mask] for value, mask in masks.items()}