Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
CSV Files | Reading Files in Pandas
Pandas First Steps
course content

Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
2. Reading Files in Pandas
3. Analyzing the Data

bookCSV Files

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:

12345
# Load the CSV into a `DataFrame` import pandas as pd data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv') print(data_frame)
copy

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 1
toggle bottom row

bookCSV Files

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:

12345
# Load the CSV into a `DataFrame` import pandas as pd data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv') print(data_frame)
copy

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 1
toggle bottom row

bookCSV Files

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:

12345
# Load the CSV into a `DataFrame` import pandas as pd data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv') print(data_frame)
copy

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:

12345
# Load the CSV into a `DataFrame` import pandas as pd data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv') print(data_frame)
copy

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
some-alt