Python graphics in Jupyter

How does Python graphics work in Jupyter?

I started another view for this named Python Graphics so as to distinguish the work from the previous work.

If we were to build a sample dataset of baby names and the number of births in a year of that name, we could then plot the data.

The Python coding is simple:

import pandas
import matplotlib
%matplotlib inline
baby_name = ['Alice','Charles','Diane','Edward']
number_births = [96, 155, 66, 272]
dataset = list(zip(baby_name,number_births))
df = pandas.DataFrame(data = dataset, columns=['Name', 'Number'])
df['Number'].plot()

The steps of the script are as follows:

1. Import the graphics library (and data library) that we need.

2. Define our data.

3. Convert the data into a format that allows easy graphical display.

4. Plot the data.

We would expect a graph of the number of births by baby name.

If we take the preceding script and place it into cells of our Jupyter Notebook, we get something that looks like the following screenshot:

I have...