import csv
with open('myfile.csv') as mf:
      mfreader = csv.reader(mf)
      print(list(mfreader))

import csv
import xml.etree.ElementTree as ET
import lxml.html
 
def read_csv(fname):
    with open(fname, newline='') as f:
        f.readline()
        reader = csv.reader(f)
        for i in reader:
            yield i
 
def convert_csv_to_xml(csvstream, csvnums, xmlroot, xmlnode, xmlnames):
    out = '<?xml version="1.0"?>'
    doc = ET.Element(xmlroot)
    for i in csvstream:
        selected = select_fields(i, csvnums)
        section = make_xml_section(xmlnode, xmlnames, selected)
        node_clean_html(section[3])
        node_value_to_attr(section[10], 'valuta')
        doc.append(section)
    out += ET.tostring(doc, encoding='unicode')
    return out
 
def select_fields(lst, numbers):
    out = [i for n, i in enumerate(lst, 1)
           if n in numbers]
    return out
 
def make_xml_section(parent, names, lst):
    sub = ET.Element(parent)
    for name, value in zip(names, lst):
        e = ET.Element(name)
        e.text = str(value)
        sub.append(e)
    return sub
 
def node_clean_html(node):
    if node.text:
        node.text = clean(node.text)
 
def clean(s):
    doc = lxml.html.fromstring(s)
    return ''.join(doc.xpath(r'.//text()'))
 
def node_value_to_attr(node, attr_name):
    pref, suff = node.text.rsplit(None, 1)
    node.set(attr_name, suff)
    node.text = pref
 
def write_xml(fname, xmldata):
    with open(fname, 'w', encoding='utf-8') as fout:
        print(xmldata, file == fout)
 
def main():
    ifname = 'zemla.csv'
    csv_nums = [1, 3, 10,
                11, 16, 17,
                18, 19, 20,
                21, 22]
 
    ofname = 'zemla.xml'
    xml_root = 'csv_data'
    xml_node = 'sub'
    xml_names = ['id', 'name', 'type',
                 'details', 'permit', 'number',
                 'electricity', 'gas', 'water',
                 'road', 'price']
 
    csv_stream = read_csv(ifname)
    xmldata = convert_csv_to_xml(
        csv_stream,
        csv_nums,
        xml_root,
        xml_node,
        xml_names
    )
    write_xml(ofname, xmldata)
 
if __name__ == '__main__':
    main()

>>> with open('myfile.csv', encoding = 'utf-8') as mf:
	mfreader = csv.reader(mf)
	print('\n'.join([str(s) for s in list(mfreader)]))
['Номер', 'Название', 'Описание', 'Владелец', 'Арендатор', 'КогдаВзял', 'КогдаВернул']
['1', 'Грабли', 'Новые', 'Федя', 'Юля', '6/15/2015', '6/16/2015']
['2', 'Газонокосилка', 'Большая на колесах', 'Иван', 'Борис', '7/20/2015', '7/28/2015']
['3', 'Молоток', 'Новый, из нержавеющей стали', 'Алик', 'Федя', '9/29/2015', '']
['4', 'Лейка', 'Старая, немного протекает', 'Федя', '', '', '']
>>> 

>>> lst = [['a', 'b'], ['c', 'd'], ['e', 'f']]
>>> 
>>> print(*lst, sep='\n')
['a', 'b']
['c', 'd']
['e', 'f']
>>>

>>> a=[['a', 'b'], ['c', 'd'], ['e', 'f']]
>>> print(a)
[['a', 'b'], ['c', 'd'], ['e', 'f']]
# валидный питоновский код можно зажевать eval
# хотите много строчек ок
>>> import json
>>> print(json.dumps(a,indent=2))
[
  [
    "a", 
    "b"
  ], 
  [
    "c", 
    "d"
  ], 
  [
    "e", 
    "f"
  ]
]
# такие данные тоже читаются одной строчкой.
# хочется таблицу ок
>>> import pandas as pd
>>> pd.DataFrame(a)
   0  1
0  a  b
1  c  d
2  e  f
# данные тоже считываются одной строчкой 
# нужен компромис между таблицей и структуированными данными:
>>> import yaml
>>> print(yaml.dump(a,indent=1))
- [a, b]
- [c, d]
- [e, f]