Numerical Computing with Python

How it works...

Step 1 creates a function that doesn't accept any extra arguments. The upper and lower bounds must be hardcoded into the function itself, which isn't very flexible. Step 2 shows the results of this aggregation.

We create a more flexible function in step 3 that allows users to define both the lower and upper bounds dynamically. Step 4 is where the magic of *args and **kwargs come into play. In this particular example, we pass two non-keyword arguments, 1,000 and 10,000, to the agg method. Pandas passes these two arguments respectively to the low and high parameters of pct_between.

There are a few ways we could achieve the same result in step 4. We could have explicitly used the parameter names with the following command to ...