October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How to do it...
- After reading in the movies dataset, let's select two Series with different data types. The director_name column contains strings, formally an object data type, and the column actor_1_facebook_likes contains numerical data, formally float64:
>>> movie = pd.read_csv('data/movie.csv')>>> director = movie['director_name']>>> actor_1_fb_likes = movie['actor_1_facebook_likes']
- Inspect the head of each Series:
>>> director.head()0 James Cameron 1 Gore Verbinski 2 Sam Mendes 3 Christopher Nolan 4 Doug Walker Name: director_name, dtype: object>>> actor_1_fb_likes.head()0 1000.0 1 40000.0 2 11000.0 3 27000.0 4 131.0 Name: actor_1_facebook_likes, dtype: float64
- The data type of the Series usually determines which of the methods ...
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