#!/usr/bin/python

import pandas as pd

import numpy as np

import sys

def getBoolFrequencies(boolData):

    df = pd.read_table(boolData, sep="\t")

    frequencies = df.groupby('sample_name', axis = 0).sum()

    return frequencies

def getFrequencies(data):

    df = pd.read_table(data, sep="\t")

    columns = list(df)

    #frequencies = df.apply(pd.to_numeric, errors = 'ignore')

    for i in columns:

        #df[i] = df[i].astype('float64')

        pd.to_numeric(df[i])

    return frequencies

def getCSVFrequencies(data):

    df = pd.read_table(data, sep=",")

    #frequencies = df.apply(pd.to_numeric, errors = 'ignore')

    dft = df.transpose()

    dft.rename(columns=dft.iloc[0])

    frequencies = dft.drop(dft.index[0])

    return frequencies