Pandas Dtype-Specific Operations: Accessors

Pandas Dtype-Specific Operations: Accessors

In this post, we will see various operations with 4 accessors of Pandas which are: Str: String data type; Cat: Categorical data type; Dt: Datetime, Timedelta, Period data types; Sparse: Sparse data type

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Pandas is a widely-used data analysis and manipulation library in Python. It provides numerous functions and methods to work with any type of data. There are also methods that work only with a specific data type. These methods are accessed through 4 accessors.

The accessors extend the capabilities of Pandas and provide specific operations. For instance, extracting the month from the date can be done using the dt accessor.

In this post, we will see various operations with 4 accessors of Pandas which are:

  • Str: String data type
  • Cat: Categorical data type
  • Dt: Datetime, Timedelta, Period data types
  • Sparse: Sparse data type

Note: We will work the examples on Pandas Series which can also be considered as DataFrame columns.

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