Useful Methods of Pandas
In this topic, 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 function, so they are mentioned here under the Miscellaneous category.
Exercise 57: Randomized Sampling
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 100 elements as the data may have been sorted by a particular key and you may get an uninteresting table back, which may not represent the full statistical diversity of the parent database.
In these situations, the sample method comes in super handy so that we can randomly choose a controlled fraction of the DataFrame:
Specify the number of samples that you require from...
