1. Apprendre
    2. /
  2. Cours
    3. /
  3. Intermediate Importing Data in Python
Connected

Exercice

Opening and reading flat files from the web

You have just imported a file from the web, saved it locally and loaded it into a DataFrame. If you just wanted to load a file from the web into a DataFrame without first saving it locally, you can do that easily using pandas. In particular, you can use the function pd.read_csv() with the URL as the first argument and the separator sep as the second argument.

The URL of the file, once again, is

'https://assets.datacamp.com/production/course_1606/datasets/winequality-red.csv'

Instructions

100 XP
  • Assign the URL of the file to the variable url.
  • Read file into a DataFrame df using pd.read_csv(), recalling that the separator in the file is ';'.
  • Print the head of the DataFrame df.
  • Execute the rest of the code to plot histogram of the first feature in the DataFrame df.