import pandas as pd

df1 = pd.read_csv('c:wamp64wwwstockinfoquotes.csv')

df2 = df1.sort_values("Symbol")
df3 = df2.drop_duplicates(subset = "Symbol", keep = 'first')
kolumns = ['Date', 'Symbol','Current Price','Open', 'High',                                                                                   Low','Volume']
df4 = pd.DataFrame(df3, columns=kolumns)
kount = len(df4)
i = 7
for j in range(kount):
    for k in range(i):
        if (k == 0):
            stockdate = pd.to_datetime(df4.iat[j,0], format="%Y-%m-%d")
        if (k == 1):
            f = df4.iat[j,1]+ '.csv'
            theFile = "c:\wamp64\www\stockinfo\historical\" + f
        if (k == 2):
            close = df4.iat[j,2].item()
        if (k == 3):
            open = df4.iat[j,3].item()
        if (k == 4):
            high = df4.iat[j,4].item()
        if (k == 5):
        low = df4.iat[j,5].item()
        if (k == 6):
            volume = df4.iat[j,6].item()
    print(theFile)
    myFile = open("c:\wamp64\www\stockinfo\historical\" + f, "at")


c:wamp64wwwstockinfohistoricalABRCX.csv
Traceback (most recent call last):