MSDuplicateCheck

MSDuplicateCheck.check_duplicated_columns_in_wide_data(input_wide_data, output_option, logger=None, ingui=True, allow_multiple_istd=False)

Function to check for duplicate column names (usually Transition Name) in a given wide data.

Parameters:

• input_wide_data (pandas DataFrame) – A data frame of sample as rows and transition names as columns

• output_option (str) – The name of the contents that the data frame contains. Example: Area, RT etc…

• logger (object) – logger object created by start_logger in MSOrganiser

• ingui (bool) – if True, print analysis status to screen

• allow_multiple_istd (bool) – if True, allow input_wide_data to have mulitple internal standards

MSDuplicateCheck.check_duplicated_sample_names_in_wide_data(input_wide_data, output_option, logger=None, ingui=True, allow_multiple_istd=False)

Function to check for duplicate sample names in a given wide data.

Parameters:

• input_wide_data (pandas DataFrame) – A data frame of sample as rows and transition names as columns

• output_option (str) – The name of the contents that the data frame contains. Example: Area, RT etc…

• logger (object) – logger object created by start_logger in MSOrganiser

• ingui (bool) – if True, print analysis status to screen

• allow_multiple_istd (bool) – if True, allow input_wide_data to have mulitple internal standards