如何刪除csv文件中的煩人數據

Question

我想在我的csv文件中刪除一些字符串（“ Description”“ This is a Simulation”），並且我也想刪除數據中的一些“ =”和數據末尾的“，”。 該文件如下所示

"time","student","items"

="09:00:00","Tim","apple",

="09:00:10","Jason","orange",

"09:10:10","Emily","grape",

"09:22:10","Ivy","kiwi",

"Description"

"This is a simulation"

我嘗試過.pop（）。 它沒有用

ff= []

import csv

with open('file.csv') as f:

    for row in csv.DictReader(f):

        row.replace(',','')

        ff.append(row)

我想得到這樣的：

"time","student","items"

"09:00:00","Tim","apple"

"09:00:10","Jason","orange"

"09:10:10","Emily","grape"

"09:22:10","Ivy","kiwi"

Answer 1

您可能希望將文件讀取為原始文本文件而不是csv，以便您更輕松地執行字符串操作。

編輯：我假設tmp是CSV文件的路徑，而<list data>是由csv.DictReader生成的字典列表。 然后，您可以通過執行2個主要步驟來編寫convert(tmp) 。 一種是將文件重新格式化為臨時文件，另一種是使用csv.DictReader將臨時文件讀入字典數據列表。 讀取完數據后，將使用os模塊刪除臨時文件：

import csv
import os

def convert(tmp):
    new_lines = []
    temp_file = tmp + '.tmp'
    with open(tmp) as fd:
        for line in fd:
            # remove new line characters
            line = line.replace('\n', '').replace('\r', '')

            # delete string
            line = line.replace('=', '').replace('"Description"', '').replace('"This is a simulation"', '')

            # don't add empty string
            if line.strip() == '':
                continue

            # remove last line commas
            if line[-1] == ',':
                line = line[:-1]

            new_lines.append(line)

    # write formatted data to temporary csv file
    with open(temp_file, 'w') as fd:
        fd.write('\n'.join(new_lines))

    # get list data
    ff = None
    with open(temp_file) as f:
        ff = list(csv.DictReader(f))

    # delete temporary file
    os.remove(temp_file)

    return ff

print convert('./file.csv')

Answer 2

大多數情況下利用內置的str方法，並假設第一行始終是有效的標題行。

ff = []

with open('file.csv') as f:

    for row in f:
        # strip empty lines, and head/tail = ,
        line = row.strip().strip('=').strip(',')

        # skip empty lines
        if not line:
            continue

        # assume first row is always a valid header row
        # split by comma to see if it matches header row
        if not len(ff) or (len(line.split(',')) == len(ff[0].split(','))):
            ff.append(line)