Ronald is filling up his dataset with new data to classify species of Iris flowers better. Define a function add_iris() to help him a bit.
The parameters for each new sample include 4 obligatory parameters:
-
id_n -
species -
petal_length -
petal_width
There may also be some additional features. Collect keyword arguments to get them.
Your function should add key-value pairs into an existing dictionary called iris. Predictably, id_n will serve as a key, and its value should be a dictionary with the rest of the specified parameters.
Please, don't print or return anything: you only need to update the dictionary iris.
For example, after calling the function for the first time add_iris(0, 'Iris versicolor', 4.0, 1.3, petal_hue='pale lilac') the dictionary iris will look like this {0: {'species': 'Iris versicolor', 'petal_length': 4.0, 'petal_width': 1.3, 'petal_hue': 'pale lilac'}}. Pay attention to the last pair that represents a new feature.
