Python 3.x 如何使用python从csv文件的所有列中筛选字符串

我有一个csv文件，我需要检查所有列以查找？并删除这些行

下面是一个例子

Column1 Column 2 Column 3
1 ? 3
2 ?.. 1
? 2 ?.
? 4 4

我尝试了下面的方法，但它不起作用

data = readData(“text.csv”)
print(data)

def Filter(string, substr):
return [str for str in string if
any(sub not in str for sub in substr)]

string = data
substr = [’?’,’?.’,’? ‘,’? ']
filter_data=Filter(string, substr)

下面是我的代码，用于在tuples中进行输出

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

def readData(filename) :
    data = pd.read_csv(filename, skipinitialspace=True)
    return [d for d in data.itertuples(index=False, name=None)]

data = readData("problem2.csv")
print(data)

[('18.0', 8, '307.0 ', '130.0 ', '3504.', '12.0', 70, 1, 'chevrolet chevelle malibu'), ('15.0', 8, '350.0 ', '165.0 ', '3693.', '11.5', 70, 1, 'buick skylark 320'), ('18.0', 8, '318.0 ', '150.0 ', '?.', '11.0', 70, 1, 'plymouth satellite'), ('16.0', 8, '304.0 ', '150.0 ', '3433.', '12.0', 70, 1, 'amc rebel sst'), ('17.0', 8, '302.0 ', '140.0 ', '3449.', '10.5', 70, 1, 'ford torino'), ('15.0', 8, '429.0 ', '198.0 ', '4341.', '10.0', 70, 1, 'ford galaxie 500'), ('14.0', 8, '454.0 ', '220.0 ', '4354.', '9.0', 70, 1, 'chevrolet impala'), ('14.0', 8, '440.0 ', '215.0 ', '4312.', '8.5', 70, 1, 'plymouth fury iii'),

---

接下来要删除带有“？”的行？；从所有列提供相同的tuple输出。

我的输入文件如下：

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

def readData(filename) :
    data = pd.read_csv(filename, skipinitialspace=True)
    return [d for d in data.itertuples(index=False, name=None)]

data = readData("problem2.csv")
print(data)

[('18.0', 8, '307.0 ', '130.0 ', '3504.', '12.0', 70, 1, 'chevrolet chevelle malibu'), ('15.0', 8, '350.0 ', '165.0 ', '3693.', '11.5', 70, 1, 'buick skylark 320'), ('18.0', 8, '318.0 ', '150.0 ', '?.', '11.0', 70, 1, 'plymouth satellite'), ('16.0', 8, '304.0 ', '150.0 ', '3433.', '12.0', 70, 1, 'amc rebel sst'), ('17.0', 8, '302.0 ', '140.0 ', '3449.', '10.5', 70, 1, 'ford torino'), ('15.0', 8, '429.0 ', '198.0 ', '4341.', '10.0', 70, 1, 'ford galaxie 500'), ('14.0', 8, '454.0 ', '220.0 ', '4354.', '9.0', 70, 1, 'chevrolet impala'), ('14.0', 8, '440.0 ', '215.0 ', '4312.', '8.5', 70, 1, 'plymouth fury iii'),

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

替换下列任一事件的代码如下所示：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

其结果如下：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

正如您所看到的，第3行到第6行中的值被替换为

'

使用另一个示例数据集运行：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,?,3506,15,70,1,ford torino
18,8,310,160,? ,16,70,1,ford galaxy
18,8,311,170,3508, ?,70,1,pontiac catalina
18,8,312,180,3509,18,70,1,ford maverick

输出为：

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '', '3506', '15', '70', '1', 'ford torino']
['18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy']
['18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina']
['18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick']

在这种情况下，

？

位于不同的列上。它仍然解决了这个问题

如果要一次性查找所有行，可以将所有行读入一个变量并进行处理

qs = {'?.':'',' ?':'','? ':'','?':''}
with open('abc.txt') as csv_file:
    lines = csv_file.readlines()
    for i,text in enumerate(lines):
        [text := text.replace(a,b) for a,b in qs.items()]
        lines[i] = text
    print (lines)

您的输出数据如下所示：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

元组输出 看起来您希望将元组作为输出

下面是执行此操作的代码：

import csv
qs = {'?.':'',' ?':'','? ':'','?':''}
final_list = []

with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        final_list.append(tuple(row))

print (final_list)

输出结果如下：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

---

我的输入文件如下：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

替换下列任一事件的代码如下所示：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

其结果如下：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

正如您所看到的，第3行到第6行中的值被替换为

'

使用另一个示例数据集运行：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,?,3506,15,70,1,ford torino
18,8,310,160,? ,16,70,1,ford galaxy
18,8,311,170,3508, ?,70,1,pontiac catalina
18,8,312,180,3509,18,70,1,ford maverick

输出为：

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '', '3506', '15', '70', '1', 'ford torino']
['18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy']
['18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina']
['18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick']

在这种情况下，

？

位于不同的列上。它仍然解决了这个问题

如果要一次性查找所有行，可以将所有行读入一个变量并进行处理

qs = {'?.':'',' ?':'','? ':'','?':''}
with open('abc.txt') as csv_file:
    lines = csv_file.readlines()
    for i,text in enumerate(lines):
        [text := text.replace(a,b) for a,b in qs.items()]
        lines[i] = text
    print (lines)

您的输出数据如下所示：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

元组输出 看起来您希望将元组作为输出

下面是执行此操作的代码：

import csv
qs = {'?.':'',' ?':'','? ':'','?':''}
final_list = []

with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        final_list.append(tuple(row))

print (final_list)

输出结果如下：

mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name
18,8,307,130,3504,12,70,1,chevy malibu
18,8,308,140,?.,14,70,1,plymoth satellite
18,8,309,150,?,15,70,1,ford torino
18,8,310,150,? ,16,70,1,ford galaxy
18,8,310,150, ?,17,70,1,pontiac catalina
18,8,310,150,3505,18,70,1,ford maverick

import csv
qs = ['?','?.',' ?','? ']
with open('abc.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row = ['' if r in qs else r for r in row]
        print (row)

['mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name']
['18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu']
['18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite']
['18', '8', '309', '150', '', '15', '70', '1', 'ford torino']
['18', '8', '310', '150', '', '16', '70', '1', 'ford galaxy']
['18', '8', '310', '150', '', '17', '70', '1', 'pontiac catalina']
['18', '8', '310', '150', '3505', '18', '70', '1', 'ford maverick']

['mpg,cylinder,displace,horsepower,weight,accelerate,year,origin,name\n', '18,8,307,130,3504,12,70,1,chevy malibu\n', '18,8,308,140,,14,70,1,plymoth satellite\n', '18,8,309,,3506,15,70,1,ford torino\n', '18,8,310,160,,16,70,1,ford galaxy\n', '18,8,311,170,3508,,70,1,pontiac catalina\n', '18,8,312,180,3509,18,70,1,ford maverick\n']

[('mpg', 'cylinder', 'displace', 'horsepower', 'weight', 'accelerate', 'year', 'origin', 'name'), ('18', '8', '307', '130', '3504', '12', '70', '1', 'chevy malibu'), ('18', '8', '308', '140', '', '14', '70', '1', 'plymoth satellite'), ('18', '8', '309', '', '3506', '15', '70', '1', 'ford torino'), ('18', '8', '310', '160', '', '16', '70', '1', 'ford galaxy'), ('18', '8', '311', '170', '3508', '', '70', '1', 'pontiac catalina'), ('18', '8', '312', '180', '3509', '18', '70', '1', 'ford maverick')]

---

您可以共享text.csv文件的几行吗？这是您是否尝试重新创建的链接。替换（“？”，“”）如果任何条目包含

？

，是否要删除整行如果您使用的是

*nix

或mac，您可以执行

grep-v'？'text.csv

您可以共享text.csv文件的几行吗？这是您尝试过的链接。替换（'？'，''）如果任何条目包含

？

，是否要删除整行如果您使用的是

*nix

或mac，你可以做

grep-v'？'text.csv

我正在寻找这个元组输出[（'18.0'，'8'，'307.0'，'130.0'，'3504'，'12.0'，'70,1'，'chevrolet chevelle malibu'），（'15.0'，'8'，'350.0'，'165.0'，'3693'，'11.5'，'70,1'，'buick skylark 320'），（'18.0'，'8'，'318.0'，'150.0'，'11.0'，'70,1'，'普利茅斯卫星'），（'16.0'，'8'，'304.0'，'150.0'，'3433'，'12.0'，'70,1'，'amc叛军sst'），您能提供示例输入数据和预期输出数据吗？这样我就可以知道您在寻找什么。您的问题不太清楚，需要一段时间才能猜出您在想什么。我的代码如下。请在问题部分添加代码在问题部分添加代码。我在元组中查找此输出[（'18.0'，'8'，'307.0'，'130.0'，'3504'，'12.0'，'70,1'，'chevrolet chevelle malibu'），（'15.0'，'8'，'350.0'，'165.0'，'3693'，'11.5'，'70,1'，'buick skylark 320'），（'18.0'，'8'，'318.0'，'150.0'，'15.0'，'1'，'plymouth satellite'），（'16.0'，'8'，'304.0'，'150.0'，'3433'，'12.0'，'70.0'，'amc sst'），您能提供示例输入数据和预期输出数据吗？这样我就可以知道您在寻找什么。您的问题不是很清楚，需要一段时间来猜测您的想法。我的代码如下。请在问题部分添加代码在问题部分添加代码。