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Data Types and Missing Values this is about) how to investigate data types within a DataFrame or Series also going to learn about)how to find and replace entries. Dtypes What is Dtype? The data type for a column in a DataFrame or a Series 1. dtype, dtypes, astype() - dtypes: returns the dtype of every column in the DataFrame - keep in mind) columns consisting entirely of strings do not get..
Summary Functions and Maps Pandas provides many simple "summary functions" (not an official name) which restructure the data in some useful way. Summary functions 1. describe( ) method type-aware: its output changes based on the data type of the input. #describe() method: type-aware #shows an overview of the data wine_reviews.points.describe() # numerical data wine_reviews.taster_name.desc..