parse_gct.py 文件源码

def assemble_row_metadata(full_df, num_col_metadata, num_data_rows, num_row_metadata):
    # Extract values
    row_metadata_row_inds = range(num_col_metadata + 1, num_col_metadata + num_data_rows + 1)
    row_metadata_col_inds = range(1, num_row_metadata + 1)
    row_metadata = full_df.iloc[row_metadata_row_inds, row_metadata_col_inds]

    # Create index from the first column of full_df (after the filler block)
    row_metadata.index = full_df.iloc[row_metadata_row_inds, 0]

    # Create columns from the top row of full_df (before cids start)
    row_metadata.columns = full_df.iloc[0, row_metadata_col_inds]

    # Rename the index name and columns name
    row_metadata.index.name = row_index_name
    row_metadata.columns.name = row_header_name

    # Convert metadata to numeric if possible
    row_metadata = row_metadata.apply(lambda x: pd.to_numeric(x, errors="ignore"))

    return row_metadata