Python读取文件后实现两列数值逐行相加的方法

Hey there! Let's work through how to get those two columns of numbers added up in Python. First, I noticed a small detail: your start list has 7 values, but summit has 8—probably a typo when you shared the data. I'll cover scenarios for both matching lengths and the mismatched case, plus how to handle this if your data is stored in a file (since you mentioned needing to read a file for your school project).

方法1：基础Python（直接处理列表数据） #

If you already have the data in Python lists (like you shared), you can use a simple list comprehension or loop to pair and add the values.

匹配长度的情况（修正数据后） #

First, let's align the lengths of the two lists (I'll remove the extra 158 from summit to match start):

start = [713866, 936003, 937328, 968012, 1004680, 1167304, 1209211]
summit = [207, 263, 46, 459, 61, 154, 180]

# 用列表推导式快速生成相加结果
total_list = [s + sm for s, sm in zip(start, summit)]

# 打印每一行的结果
for row_num, total in enumerate(total_list, start=1):
    print(f"第{row_num}行: {start[row_num-1]} + {summit[row_num-1]} = {total}")

处理长度不一致的情况 #

If that extra 158 in summit is intentional, you can use itertools.zip_longest to handle the mismatch. This will fill missing values with a default (like 0) so every value gets added:

from itertools import zip_longest

start = [713866, 936003, 937328, 968012, 1004680, 1167304, 1209211]
summit = [207, 263, 46, 459, 61, 154, 180, 158]

total_list = []
for s, sm in zip_longest(start, summit, fillvalue=0):
    total = s + sm
    total_list.append(total)
    print(f"{s} + {sm} = {total}")

方法2：读取文件并计算（适合项目场景） #

Since you mentioned needing to read a file for your school project, let's cover two common file types: CSV and plain text.

场景A：CSV文件 #

CSV is super common for tabular data. We'll use pandas (a popular data analysis library) because it makes this trivial.

First, install pandas if you haven't already:

pip install pandas

Suppose your CSV file (data.csv) looks like this:

start,summit
713866,207
936003,263
937328,46
968012,459
1004680,61
1167304,154
1209211,180

Here's the code to read it, add the columns, and save the result:

import pandas as pd

# 读取CSV文件
df = pd.read_csv("data.csv")

# 新增一列存储相加结果
df["total"] = df["start"] + df["summit"]

# 打印结果到控制台
print(df)

# 保存结果到新的CSV文件（可选）
df.to_csv("calculated_results.csv", index=False)

场景B：纯文本文件（每行两个数值） #

If your file is a plain text file (data.txt) with one pair of numbers per line:

start summit
713866 207
936003 263
937328 46
968012 459
1004680 61
1167304 154
1209211 180

You can use basic file handling to read and calculate:

total_list = []

# 打开文件并逐行处理
with open("data.txt", "r") as file:
    # 跳过表头行
    next(file)
    for line in file:
        # 分割每行的两个数值，转换为整数
        start_val, summit_val = map(int, line.strip().split())
        total = start_val + summit_val
        total_list.append(total)
        print(f"{start_val} + {summit_val} = {total}")

# 如果需要保存结果到文件
with open("results.txt", "w") as output_file:
    output_file.write("start + summit = total\n")
    for idx, total in enumerate(total_list, start=1):
        output_file.write(f"{start[idx-1]} + {summit[idx-1]} = {total}\n")

All these methods should get you the逐行相加 results you need for your project. Let me know if you run into any snags with your specific file format!

内容的提问来源于stack exchange，提问作者M.Greene