checkpandas.py 文件源码

def differences(self, name, values, ref_values, precision):
        """
        Returns a short summary of where values differ, for two columns.
        """
        for i, val in enumerate(values):
            refval = ref_values[i]
            if val != refval and not (pd.isnull(val) and pd.isnull(refval)):
                stop = self.ndifferences(values, ref_values, i)
                summary_vals = self.sample_format(values, i, stop, precision)
                summary_ref_vals = self.sample_format(ref_values, i, stop,
                                                      precision)
                return 'From row %d: [%s] != [%s]' % (i+1,
                                                      summary_vals,
                                                      summary_ref_vals)
        if values.dtype != ref_values.dtype:
            return 'Different types'
        else:
            return 'But mysteriously appear to be identical!'