如何在python中从CSV文件中删除空行？

晚上好！我目前正在使用Python3脚本创建一个包含指定数据列的CSV文件。我真的快完成了，但我遇到了一个无法克服的问题

基本上，我尝试将两个列中的两个值（浮动）相加，并将它们附加到另一列中；然而，当程序运行到空行（字符串）中时，一切都会失败。据我所知，将整个csv文件转换为浮点是不可能的，所以我决定删除这些空行。。。我该怎么做

此外，如果有人对更清洁的方法有任何建议，我将非常高兴听到

我的代码如下：

#! python3
# automatedReport.py - Reads and writes a new CSV file with
# Campaign Name, Group Name, Raised from Apr 1st-Apr 30th Total,
# Donation from Apr 1st-Apr 30th Total, and Campaign Total Apr 1st-Apr 30th.

import csv, os, ctypes
MessageBox = ctypes.windll.user32.MessageBoxW
total = 0

# Find out whether or not campaign_monthly_report is present.
if os.path.isfile('campaign_monthly_report.csv'):
    os.makedirs('automatedReport', exist_ok=True)
    print('Organizing campaign_monthly_report.csv...')

    #Read the CSV file.
    with open('campaign_monthly_report.csv', 'r') as csv_file:
        csv_reader = csv.DictReader(csv_file)

        #Write out the CSV file.
        with open(os.path.join('automatedReport', 'automated_campaign_monthly_report.csv'), 'w', newline='') as new_file:
            fieldnames = ['Campaign Name','Group Name','Raised from Apr 1st-Apr 30th Total','Donation from Apr 1st-Apr 30th Total', 'Campaign Total Apr 1st-Apr 30th']

            csv_writer = csv.DictWriter(new_file, fieldnames=fieldnames)

            csv_writer.writeheader()

            #Sloopy code, I know. I'm a bit new to this.
            for line in csv_reader:
                del line['Contact Name']
                del line['Contact Phone']
                del line['Contact Email']
                del line['Sign Ups']
                del line['Active Members']
                del line['% Active Members']
                del line['Raised upto Mar 31st 1st Time']
                del line['Raised upto Mar 31st Everyday']
                del line['Raised upto Mar 31st Total']
                del line['Raised upto Mar 31st Target']
                del line['Donation upto Mar 31st Group']
                del line['Donation upto Mar 31st PF']
                del line['Donation upto Mar 31st Total']
                del line['Additional $ Applied upto Mar 31st']
                del line['Raised from Apr 1st-Apr 30th 1st Time']
                del line['Raised from Apr 1st-Apr 30th Everyday']
                del line['Raised from Apr 1st-Apr 30th Target']
                del line['Donation from Apr 1st-Apr 30th Group']
                del line['Donation from Apr 1st-Apr 30th PF']
                del line['Additional $ Applied from Apr 1st-Apr 30th Total']
                del line['Date Joined']

                total = float(line['Raised from Apr 1st-Apr 30th Total']) + float(line['Donation from Apr 1st-Apr 30th Total'])
                csv_writer.writerow(line)
                print (total)

            MessageBox(None, 'Process Complete. Locate ouput in the automatedReport folder.', ' Success!', 0)
else:
    MessageBox(None, 'campaign_monthly_report not found!', ' Error!', 0)

错误消息：

Traceback (most recent call last):
File "C:\Users\Mende\Desktop\Automated Campaign\automatedReport.py", line 51, in <module>
total = float(line['Raised from Apr 1st-Apr 30th Total']) + float(line['Donation from Apr 1st-Apr 30th Total'])
ValueError: could not convert string to float: >>> 

回溯（最近一次呼叫最后一次）：
文件“C:\Users\Mende\Desktop\Automated Campaign\automatedReport.py”，第51行，在
总计=浮动（第['行从4月1日至4月30日总计]）+浮动（第['行从4月1日至4月30日总计]捐赠）
ValueError:无法将字符串转换为浮点值：>>>

csv模块只希望其文件是一个迭代器，在每次迭代时返回一行新行。定义一个迭代器来过滤掉空行是很简单的：

def no_blank(fd):
    try:
        while True:
            line = next(fd)
            if len(line.strip()) != 0:
                yield line
    except:
        return

您可以使用它从原始文件对象中筛选出空行：

...
#Read the CSV file.
with open('campaign_monthly_report.csv', 'r') as csv_file:
    csv_reader = csv.DictReader(no_blank(csv_file))
    ...

---

听说过熊猫吗？我看了一下，它似乎就是我想要的，但我希望有一种方法可以做到这一点，而无需下载外部库。没有办法吗？你的图书馆有限制吗？否则它很简单：

pip安装pandas

，它可以在2或3行代码中完成您想要的操作。在任何情况下，我都不知道您正在使用的软件包，因此我无法帮助您。请定义“kaput”，并向我们显示错误消息和它出现的行号。