Python脚本无法获取单元格的值

问题描述 投票：0回答：4

我试图做到在Python一个看似简单的任务。现在，这是我第三次SO张贴在尽可能多天，我尴尬。

我希望能打开一个CSV文件。我想通过每一行循环，并为每行每列，如果该值不为0或1（这是一个“？”），基本上重写与最后列的值值。非常最后一列永远不会是0或1。它永远不会是“？”。我没有那么多关心print语句，因为我取代了“？” （或非0/1）值与在最后一列的值。

我重视我在这里工作的csv文件示例：http://www.sharecsv.com/s/7bef636c33054cae624928297146bae1/house.csv

如果您无法查看上面的链接，我已经粘贴了以下数据集的样本：

0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,?,1.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,?,1.00
?,1.00,1.00,?,1.00,1.00,0.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,0.00,0.00,0.00
0.00,1.00,1.00,0.00,?,1.00,0.00,0.00,0.00,0.00,1.00,0.00,1.00,0.00,0.00,1.00,0.00
1.00,1.00,1.00,0.00,1.00,1.00,0.00,0.00,0.00,0.00,1.00,?,1.00,1.00,1.00,1.00,0.00
0.00,1.00,1.00,0.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,?,1.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,?,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,?,?,0.00
0.00,1.00,0.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,?,?,1.00,1.00,0.00,0.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,1.00,?,1.00,1.00,?,?,1.00
0.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,?,?,0.00
1.00,1.00,1.00,0.00,0.00,1.00,1.00,1.00,?,1.00,1.00,?,0.00,0.00,1.00,?,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,?,?,0.00,?,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,?,0.00,?,1.00
1.00,0.00,1.00,0.00,0.00,1.00,0.00,1.00,?,1.00,1.00,1.00,?,0.00,0.00,1.00,0.00
1.00,?,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,?,1.00,1.00,0.00,0.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,?,1.00,1.00,0.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,?,?,1.00,1.00,0.00
1.00,?,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,?,0.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,?,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,0.00,0.00,1.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,1.00,?,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,0.00,0.00,1.00,0.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,?,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,?,1.00,0.00,1.00,1.00
1.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,1.00,0.00,1.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,?,0.00,0.00,0.00,0.00,?,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,?,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,1.00,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,0.00,?,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,?,0.00,1.00,0.00,0.00,0.00,1.00,?,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,1.00,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,?,0.00,0.00,0.00,0.00,0.00,0.00,?,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,0.00,1.00,0.00
0.00,?,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,?,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,?,?,0.00
1.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,1.00,1.00,0.00,0.00,1.00,?,1.00,0.00,0.00,1.00,1.00,0.00,1.00,0.00,?,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,1.00,0.00,0.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,1.00,0.00,?,1.00
1.00,1.00,1.00,0.00,0.00,?,1.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,1.00,?,0.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,?,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,0.00,0.00,0.00,0.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,?,0.00,0.00,0.00,1.00,0.00
1.00,1.00,0.00,1.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,0.00,1.00,1.00
0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,1.00
1.00,?,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,1.00,0.00
1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,0.00,0.00,1.00,1.00,0.00
1.00,0.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,0.00,1.00,?,0.00
1.00,1.00,1.00,1.00,0.00,0.00,1.00,1.00,1.00,1.00,1.00,0.00,0.00,1.00,0.00,1.00,1.00

这是我当前的代码：

import csv

reader = csv.reader(open('house1.csv'), delimiter = ',')
counter = 0

for row in reader:
    # print("Opened Reader")
    currVal = row[:-1]
    counter = counter + 1
    # print("set values")
    for column in row:
        questioncount = 0
        # print("Looping columns")
        if (column != 0 or column != 1):
            questioncount = questioncount + 1
            # This is where I should overwrite the value
        print("Row " + str(counter) + " has " + str(questioncount) + " question marks ")

我不明白为什么我有这么大的困难。目前，Pycharm的输出，它说，每一个行和列有一个问号，这是不正确的。

Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 1 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 2 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 3 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 4 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 5 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 6 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 7 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 8 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
Row 9 has 1 question marks 
...
Row 435 has 1 question marks

我希望给这行 0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,?,1.00,1.00,1.00,0.00,1.00,1.00 这个python脚本会变成该行成 0.00,1.00,0.00,1.00,1.00,1.00,0.00,0.00,0.00,1.00,1.00,1.00,1.00,1.00,0.00,1.00,1.00

任何意见，将不胜感激。

python python-3.x csv
4个回答
2
投票

你的代码已经有两个错误。第一个是，你检查是否有column不等于整数0或1，但column包含一个字符串值。第二个，在questioncount变量的初始化和print函数的调用应该发生了for循环的。这里是工作的代码：

import csv


rows = []

with open('house.csv', 'r') as f:
    reader = csv.reader(f, delimiter=',')
    counter = 0

    for row in reader:
        counter = counter + 1
        questioncount = 0

        for i, column in enumerate(row):

            if column == '?':
                questioncount = questioncount + 1
                row[i] = row[-1]

        rows.append(row)
        print('Row {i} has {q} question marks'.format(i=counter, q=questioncount))


with open('house1.csv', 'w') as f:
    writer = csv.writer(f, delimiter=',')

    for row in rows:
        writer.writerow(row)

P.S：所以现在它保存另一个文件与被替换问号我已经更新的代码。

0
投票

最快的修复您的问题：

if not (column == '1.00' or column == '0.00'):

你被检查，如果该字符串值（从CSV文件）“1.00”或“0.00”等于整数值（在你的if语句）1或0。

此外，你应该在申请“不是”两个检查一次，否则你的逻辑落空。

0
投票

你的代码有一些问题：

  1. 您正在阅读该.csv，但内容将被读为字符串，而不是浮动，所以你的比较if (column != 0)将永远是正确的。
  2. 其结果是，你总是指望1问号，然后您可以继续每列打印一次，因为print语句在列循环，而不是该行循环。
  3. 您正在分配最后的值currVal，但从来没有使用它。

因为你的代码是寻找问号，也许你不应该检查列是否不为1或0，但无论是“？”代替？

您与这些补丁代码：

import csv

reader = csv.reader(open('house1.csv'), delimiter=',')
counter = 0

for row in reader:
    counter = counter + 1
    questioncount = 0
    for column in row:
        if column == '?':
            questioncount += 1
    print("Row " + str(counter) + " has " + str(questioncount) + " question marks ")

写你要找的输出：

import csv

reader = csv.reader(open('simple.csv'), delimiter=',')
writer = csv.writer(open('output.csv', 'w', newline=''), delimiter=',')

for row in reader:
    writer.writerow([column if column != '?' else row[-1:] for column in row])
0
投票

使用numpy的加载

import numpy as np

my_data = np.genfromtxt('house.csv', delimiter=',')
# print(my_data)
for i in range(len(my_data)):

    row = my_data[i]
    # print(row)
    temp = row[-1]
    # print(temp)
    for j in range(len(row)):
        column = row[j]
        if not (column == 1 or column == 0) :

            my_data[i,j] = temp

# print(my_data)
np.savetxt("house.csv", my_data, delimiter=",")
最新问题
© www.soinside.com 2019 - 2024. All rights reserved.