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Data Wrangling With Python

Loading a CSV Dataset From a URL

Learn to import a CSV dataset from a URL.

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Loading CSV files

The CSV format is popular for storing and transferring data. Files with a .csv extension are plain text files containing data records with comma-separated values.

Let’s see how we can analyze data from a CSV file using Python by loading the file from a URL.

Python 3.8
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/CourseMaterial/DataWrangling/main/flowerdataset.csv')
print(df.head())

Let’s review the code line by line:

  • Line 1: We start by first importing the pandas library using import pandas as pd.

  • Line 2: We pass the URL of the dataset, enclosed in quotes, to the read_csv() function and save the result in the df variable.

Note: When we save the dataset inside a variable, we refer to the variable as a DataFrame. A DataFrame is a tabular data structure that contains data represented in rows and columns. ...