如何通过将最后一列分配为元组的第二个值来读取csv文件？

Question

I have a csv file in the with three columns so that, each row is in the format:

"abcdef" "uvwxyz" 0

I want to generate a list of tuples, where the first element of the tuple is a dictionary of some features extracted from the first two columns, while the second element is simply the third column (0 or 1 value) values representing the label of the features.

I tried the following but it throws some syntax error saying i is undefined in the last line:

dataframe = pd.read_csv(csv_file, header = None, delimiter = "\t")
a = dataframe[0]
b = dataframe[1]
label = dataframe[2]
feature = [(findFeature(x,y), labels) for x,y in i for i, labels in  zip(zip(a,b), label)]

Where am I wrong?

Answer 1

看来您需要：

feature = [(findFeature(x,y), label) for x,y, label in zip(a,b,label)]

Answer 2

if you don't need any further transformations you may use csv library instead of pandas :

import csv
with open(csv_file) as f:
    reader  = csv.reader(f)
    feature = [(findFeature(x,y), z) for x,y,z in reader]

you can find and example for csv package usage here

Answer 3

I'm guessing you need to transform this ("abcdef", "uvwxyz", 0) into ("abcdef", 0, "uvwxyz") :

with open(csv_file, "r") as f:
    dataframe = [(a,c,b) for a,b,c in map(lambda x: x.split("\t"), f)]

unpacking the tuple a,b,c in when splitting each line and repacking to (a,c,b)