使用“to_csv”和“os.path”将 CSV 保存在与 python 文件相同的目录中？

Question

I want this line to save the csv in my current directory alongside my python file:

df.to_csv(./"test.csv")

My python file is in "C:\Users\Micheal\Desktop\VisualStudioCodes\Q1"

Unfortunately it saves it in "C:\Users\Micheal" instead.

I have tried import os path to use os.curdir but i get nothing but errors with that.

Is there even a way to save the csv alongside the python file using os.curdir ?

Or is there a simpler way to just do this in python without importing anything?

Answer 1

import os


directory_of_python_script = os.path.dirname(os.path.abspath(__file__))

df.to_csv(os.path.join(directory_of_python_script, "test.csv"))

And if you want to read same .csv file later,

pandas.read_csv(os.path.join(directory_of_python_script, "test.csv"))

Here, __file__ gives the relative location(path) of the python script being runned. We get the absolute path by os.path.abspath() and then convert it to the name of the parent directory .

os.path.join() joins two paths together considering the operating system defaults for path seperators, '\' for Windows and '/' for Linux, for example.

This kind of an approach should work, I haven't tried, if does not work, let me know.