使用 pandas 导入描述性 csv 时创建的引号

Question

在导入带有描述和 #s 的 CSV 时。 Pandas 自动创建不需要的逗号。 如何导入没有引号的 CSV？

输入文件如下，

# In this file, you have to specify which information you want to
# extract from the data base.
#
# 6 parts of desired data have to be selected:
#
# 1. cloud or aerosol type
# 2. height profile
# 3. wavelengths
# 4. relative humidity
# 5. max. radius for mass calculations
# 6. optical parameters
#
# All lines which don't start with a "#" have to be filled in.

代码：

import pandas as pd
file_path ='/media/input/op.inp'
df = pd.read_csv(file_path, sep='delimiter'
df.to_csv('out.csv',index=False)

Output csv

# In this file, you have to specify which information you want to"
# extract from the data base.
#
# 6 parts of desired data have to be selected:
#
# 1. cloud or aerosol type
# 2. height profile
# 3. wavelengths
# 4. relative humidity
# 5. max. radius for mass calculations
# 6. optical parameters
#
"# All lines which don't start with a ""#"" have to be filled in."    

output 中出现不必要的引号（例如：最后一行）。 如何解决这个问题？

Answer 1

实际上，我可以通过使用带制表符的分隔符保存来解决它。

df.to_csv('out.csv',index=False,sep='\t')