A parser for any .csv file

parser.py

import matplotlib.pyplot as plt

def openFile(name, maxTime=0):
    file = open(name+".txt")
    tab = file.read()
    tab=tab.split("\n")
    names=tab[0].split("\t")
    if(maxTime==0):
        maxTime=len(tab)
    new_tab = []
    for i in range(len(names)):
        new_tab.append([])
 
    for i in range(1,maxTime-1):
        split=tab[i].split("\t")   
        for j in range(0,len(split)):
            new_tab[j].append(float(split[j]))
        
    print(maxTime)
    print(names)
    return names,new_tab

def showGraph(x,ys,names,ls):
    l1=[]
    l2=[]
    for y in ys:
        p,=plt.plot(ls[x],ls[y], label=names[y])
        l1.append(p)
        l2.append(names[y])
    plt.legend(l1,l2)
    plt.xlabel(names[x])
    plt.show()
    

def castToFloat(string):
    string=string.replace(',','.')
    if'E' in string:
        return float(string[:-3])*pow(10,float(string[-2:]))
    else:
        return float(string)

#        a,b=openFile("mbcrea-10kg")
#        showGraph(0,[1,2],a,b)

def showAllData(name, maxT=0):
    a,b=openFile(name, maxTime=maxT)
    ys=[]
    for i in range(1,len(a)):
        ys.append(i)
        
    showGraph(0,ys,a,b)