FILENAME = 'test.csv'
DELETE_LINE_NUMBER = 1

with open(FILENAME) as f:
    data = f.read().splitlines() # Read csv file
with open(FILENAME, 'w') as g:
    g.write('\n'.join([data[:DELETE_LINE_NUMBER]] + data[DELETE_LINE_NUMBER+1:])) # Write to file

原始测试.csv：

ID, Name
0, ABC
1, DEF
2, GHI
3, JKL
4, MNO

运行后：

ID, Name
1, DEF
2, GHI
3, JKL
4, MNO

（删除0, ABC）

在作为csv阅读器阅读csv文件后，next（）将返回文件中的每一行，因此可以这样解决：

import csv
csv_file_name= '<your_file_name>.csv'

file = open(csv_file_name)
csvreader = csv.reader(file)

# store headers and rows
header = next(csvreader)

# ignore first row 
next(csvreader)

# store other rows
rows = []
for row in csvreader:
        rows.append(row)

file.close()

with open(csv_file_name, 'w', encoding='UTF8', newline='') as f:
    writer = csv.writer(f)

    # write the header
    writer.writerow(header)

    # write multiple rows
    writer.writerows(rows)

如果CSV文件足够小，请将其读入内存，删除该行并将其写回。
这里不需要Pandas甚至csv模块。

# Read lines into list
with open("myfile.csv") as f:
    lines = list(f)

lines.pop(1)  # pop the second line out (assuming the zeroth line is headers)

# Write lines back into file
with open("myfile.csv", "w") as f:
    for line in lines:
        f.write(line)

如果您的文件较大，不要将其全部读入内存，而是动态地将其过滤到第二个文件中，然后替换第一个文件：

import os

with open("myfile.csv") as rf, open("myfile.csv.temp", "w") as wf:
    for i, line in enumerate(rf):
        if i != 1:  # Everything but the second line
            wf.write(line)

os.replace("myfile.csv.temp", "myfile.csv")

你可以试试看。如果文件不是太大的话，它会起作用的

# Read the data
with open("your file.csv", "r") as f:
    data = f.read().split("\n")

# Remove the 1st line
del data[1]

# Save the data
with open("your file.csv", "w") as f:
    f.write("\n".join(data))