Reading CSV Files With Pandas

We can read a Python CSV files with Pandas using the pandas.read_csv() function. Here’s an example:

Suppose, we have a employees.csv file and content inside it will be:

name,department,birthday_month
John Smith,HR,July
Alice Johnson,IT,October
Bob Williams,Finance,January

In this example, pd.read_csv() reads the CSV file into a Pandas DataFrame. The resulting DataFrame can be used for various data manipulation and analysis tasks.

Python3

import pandas as pd
 
# Read the CSV file into a DataFrame
df = pd.read_csv('employees.csv')
 
# Display the DataFrame
print(df)

Output:

             name department birthday_month
0      John Smith         HR           July
1  Alice Johnson         IT        October
2   Bob Williams    Finance        January

We can access specific columns, filter data, and perform various operations using pandas DataFrame functionality. For example, if we want to access the “name” column, we can use df['name'].

Python3

# Access the 'name' column
names = df['name']
print(names)

Output:

0        John Smith
1    Alice Johnson
2     Bob Williams
Name: name, dtype: object

Working with csv files in Python

Python is one of the important fields for data scientists and many programmers to handle a variety of data. CSV (Comma-Separated Values) is one of the prevalent and accessible file formats for storing and exchanging tabular data.

In article explains What is CSV. Working with CSV files in Python, Reading, and Writing to a CSV file, and Storing Emails in CSV files.

Table of Content

What is a CSV File?
Working with CSV files in Python
Reading a CSV file
Reading CSV Files Into a Dictionary With csv
Writing to a CSV file
Writing a dictionary to a CSV file
Reading CSV Files With Pandas
Writing CSV Files with Pandas
Storing Emails in CSV files

Reading CSV Files With Pandas

Python3

Python3

Working with csv files in Python

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