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Data Analysis & Processing with Pandas

Manipulating Series Objects

Explore how to manipulate Pandas Series objects through basic and advanced slicing, indexing techniques, and vectorized operations. Understand how to access data efficiently using integer indexes, lists, and Boolean filters. This lesson helps you handle data slicing and filtering without loops, enhancing your data analysis skills with Pandas Series.

We'll cover the following...

Basic slicing and indexing

A series supports the basic slicing and indexing operations just like the Numpy ndarray and the native Python list types.

Integer Index

With the [] operation, you can access the specified value by its location, which is an integer index. Just like accessing an element in a native Python list.

Slice object

start:stop:step is an object that contains a portion of a sequence.

  • If only stop is provided, it generates a portion of a sequence from index 0 to stop, where stop is excluded.
  • If only start is provided, it
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