October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How to do it...
- Use the dtypes attribute to display each column along with its data type:
>>> movie = pd.read_csv('data/movie.csv')>>> movie.dtypescolor object
director_name object
num_critic_for_reviews float64
duration float64
director_facebook_likes float64
...
title_year float64
actor_2_facebook_likes float64
imdb_score float64
aspect_ratio float64
movie_facebook_likes int64
Length: 28, dtype: object
- Use the get_dtype_counts method to return the counts of each data type:
>>> movie.get_dtype_counts()float64 13 int64 3 object 12
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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