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You cannot post new topics in this forumYou cannot reply to topics in this forumYou cannot edit your posts in this forumYou cannot delete your posts in this forumYou cannot post attachments in this forumQ:

Why is pd.read_csv() returning A nested structure?

I am trying to read a csv file from a folder and reading it in pandas.
When I pass.read() to the function it returns a list of 4 elements.
When I use.read_csv() to read it it returns a pandas dataframe with two columns and one row.
from pathlib import Path

import pandas as pd

path = Path(“My Folder Path”)

with path.open(“my_file.csv”) as f:
df = pd.read_csv(f)
print(df)

Is there a reason for the difference?
I am working on python3.7.

A:

Is there a reason for the difference?

Yes there is:

Note for files with commas or other delimiters in them, you need to
specify the usecols argument to read_csv for which columns to read
from. This can be done in a variety of ways:

f = pd.read_csv(‘sample-data.csv’, usecols=[‘A,B,C,D’])
f = pd.read_csv(‘sample-data.csv’, usecols=df.columns[4:])
f = pd.read_csv(‘sample-data.csv’, delim_whitespace=True, usecols=[‘A,B,C,D’])
f = pd.read_csv(‘sample-data.csv’, usecols=df.columns[5:])

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