why tuple instead of list

[DeaD_EyE]

Funny thing, today I used namedtuples from header.
You can use starmap from itertools.

import csv
from collections import namedtuple
from pathlib import Path
from itertools import starmap


def read_nt(csv_file):
    with csv_file.open() as fd:
        reader = csv.reader(fd, delimiter=",")
        header = namedtuple("Header", next(reader))
        for row in starmap(header, reader):
            yield row


# you have to change the path
csv_file = Path.home() / "Desktop/akku.csv"
for row in read_nt(csv_file):
    print(row)

Sample output

Output:
Header(id='3093', cycle='86', row='1420', timestamp='2020-02-16 18:25:41.464264', voltage='13.0219659805298', current='-0.422915548086166', charge='79.4553909301758', cell_voltages='[3.2786877155303955, 3.2688629627227783, 3.232583522796631, 3.2427730560302734]', temperature='20.9888801574707')
Header(id='3094', cycle='86', row='1421', timestamp='2020-02-16 18:26:41.912095', voltage='13.0219659805298', current='-0.420677900314331', charge='79.4553909301758', cell_voltages='[3.2786877155303955, 3.2688629627227783, 3.232583522796631, 3.2427730560302734]', temperature='20.9888801574707')
Header(id='3095', cycle='86', row='1422', timestamp='2020-02-16 18:27:42.373194', voltage='13.0210456848145', current='-0.420677900314331', charge='79.4029693603516', cell_voltages='[3.2786877155303955, 3.2679216861724854, 3.232583522796631, 3.2418527603149414]', temperature='20.9888801574707')

It would be nice, to have this inside the csv-module.