import pandas
from collections import defaultdict

rppa_file = 'data/TableS1-Split.xlsx'

cell_lines = ['C32', 'COLO858', 'K2', 'LOXIMVI', 'MMACSF', 'MZ7MEL',
              'RVH421', 'SKMEL28', 'WM115', 'WM1552C']

def read_rppa_data(fname=rppa_file):
    data = {}
    for cell_line in cell_lines:
        data[cell_line] = {}
        # Read both the median and the std sheet for each cell line
        for data_type, postfix in (('median', ''), ('std', '-std')):
            # Handle unpredictable number of extra rows before the actual
            # header row.
            i = 0
            while True:
                df = pandas.read_excel(fname, sheetname=(cell_line + postfix),
                                       skiprows=i, header=0)
                if df.columns[0] == 'Drug':
                    break
                i += 1
            data[cell_line][data_type] = df
    return data

Read in RPPA medians and stds
Read in RPPA medians and stds
