如何按行使用CSV文件的大小？是否可以使用Python

发布于 2025-01-27 19:35:17 字数 291 浏览 4 评论 0原文

我正在阅读一个没有PANDAS库的CSV文件，我需要找出每一行的字节数。

file="Emptycsv.csv"
checkfilesize(file)

def checkfilesize(file):
 file=b''join(file).split(b'\n')
 count=len(file)

计数将打印行数。我需要找出文件大小，我知道os.path.getsize会..但是，在读取CSV文件行的读取该文件行/列或列时，如果达到109997897KB，我需要终止因此，请您帮助我查找数据字节

原文

I am reading a csv file without pandas library,i need to find out the number of bytes of each row.So i can ad all the bytes and determine the file size and will do some restriction based on that.

file="Emptycsv.csv"
checkfilesize(file)

def checkfilesize(file):
 file=b''join(file).split(b'\n')
 count=len(file)

Count will print the number of rows.i need to find out the file size,i know os.path.getsize will do..But while reading that csv file row by rows/column or columns if it reached 109997897kb,i need to terminate.So request you to help me the find the bytes of data

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和我恋爱吧 2025-02-03 19:35:17

按照此方面的某些内容应适用于每行/行的字节：
（+1用于新线）

import os

total_bytes = -1

with open("test.csv") as file_in:
    for line in file_in:
        bytes_on_this_line = len(line) + 1
        total_bytes += bytes_on_this_line
        
print(total_bytes)

print(os.path.getsize("test.csv"))

输出：

15
15

Something along the lines of this should work for getting the bytes per row/line:
(The +1 is for the newline)

import os

total_bytes = -1

with open("test.csv") as file_in:
    for line in file_in:
        bytes_on_this_line = len(line) + 1
        total_bytes += bytes_on_this_line
        
print(total_bytes)

print(os.path.getsize("test.csv"))

Output: