Useful Methods of Pandas

In this section, we will discuss some small utility functions that are offered by pandas so that we can work efficiently with DataFrames. They don't fall under any particular group of functions, so they are mentioned here under the Miscellaneous category. Let's discuss these miscellaneous methods in detail.

Randomized Sampling

In this section, we will discuss random sampling data from our DataFrames. This is a very common task in a variety of pipelines, one of which is machine learning. Sampling is often used in machine learning data-wrangling pipelines when choosing which data to train and which data to test against. Sampling a random fraction of a big DataFrame is often very useful so that we can practice other methods on them and test our ideas. If you have a database table of 1 million records, then it is not computationally effective to run your test scripts on the full table.

However, you may also not want to extract only the first...