how to import csv into python with pandas in python

To import a CSV file into Python with pandas, you can use the read_csv() function.

First, you need to import the pandas library using the import statement:

main.py
import pandas as pd
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To read a CSV file into a pandas DataFrame, you can use the following code:

main.py
df = pd.read_csv('filename.csv')
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Replace 'filename.csv' with the name of your CSV file. This will create a pandas DataFrame object called df.

If your CSV file is separated by a different delimiter, such as tabs, you can specify the separator using the sep parameter:

main.py
df = pd.read_csv('filename.csv', sep='\t')
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This will create a DataFrame using the contents of the file filename.csv, with each tab-separated column being a separate column in the DataFrame.

You can also specify additional options to customize the import process, such as encoding and header settings. For more information on the read_csv() function, see the pandas documentation.

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