Python Quest

Track 14 · Lesson 4 of 12

DataFrames and loading data

Load a CSV file into a pandas DataFrame, inspect its shape, columns and types, and select the columns you need.

About 40 minIntermediate3 exercises

You will be able to

  • Create a DataFrame from a dictionary of lists
  • Load a CSV file with pd.read_csv, including files with unusual separators or extra lines
  • Inspect data with head, shape, columns, dtypes, info and describe
  • Select one column as a Series and several columns as a DataFrame

Included with a Formula Quest membership

It has 3 graded exercises with feedback, hints and solutions. Python Quest is included in Formula Quest memberships that cover Python; membership and billing are managed on Formula Quest.

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Tracks 1 and 2, the first lesson of every track, the playground and the dataset library are free.