What are the different types of DataFrames in Pandas?
In Pandas, DataFrames can be categorized based on the data types of their columns, such as int, float, object, and category.
Can you explain what a categorical DataFrame is?
A categorical DataFrame uses the 'category' data type, which is useful for saving memory and improving performance with repeated values.
How do I convert a column to a categorical type?
You can convert a column to a categorical type using the astype('category')
method on the DataFrame column.
What are the benefits of using categorical data?
Using categorical data can reduce memory usage and speed up operations like sorting and filtering.
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