Cleaner Data Analysis with Pandas Using Pipes

Cleaner Data Analysis with Pandas Using Pipes

In this article, we will go over examples to understand how the pipe function can be used to produce cleaner and more maintainable code.

Pandas is a widely-used data analysis and manipulation library for Python. It provides numerous functions and methods to provide robust and efficient data analysis process.

In a typical data analysis or cleaning process, we are likely to perform many operations. As the number of operations increase, the code starts to look messy and harder to maintain.

One way to overcome this issue is using the pipe function of Pandas. What pipe function does is to allow combining many operations in a chain-like fashion.

In this article, we will go over examples to understand how the pipe function can be used to produce cleaner and more maintainable code.

We will first do some data cleaning and manipulation on a sample dataframe in separate steps. After that, we will combine these steps using the pipe function.

data cleaning pandas pipeline python

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