Data Types of Columns
Explore how to check and modify data types of columns in a Pandas DataFrame. Understand the importance of selecting appropriate data types, including integers, floats, strings, and datetime objects, to optimize memory usage and enable proper use of functions. Gain practical skills in using methods like dtypes and astype to analyze and convert data types effectively.
We'll cover the following...
We'll cover the following...
Data types
Data doesn’t always come in plain numbers. In addition to integers and floats, we need to deal with strings (textual data), dates, times, and boolean (True and False) data types.
It’s important to use proper data types for two main reasons:
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Data ...