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