plotting parallel categories – part 2

brief description: to create a comparative line plot of famous architects using multiple variables – year of birth, year in which one seminal work was completed and year of death. a plot showing progression of architecture career.

progress update > three methods. Seaborn vs. Pandas vs. Matplotlib

1. Seaborn

the plot using Seaborn Point Plot, sns.pointplot(). 

the table on the right shows data organization in excel.

python code using Seaborn:

2. Pandas

the plot using Pandas Parallel Coordinates, pd.plotting.parallel_coordinates(). 

the table on the right shows data organization in excel.

python code using Pandas:

3. Matplotlib

the plot using Matplotlib, ax.plot(). 

the table on the right shows data organization in excel.

python code using Matplotlib:

i adapted the code I found online. at the moment, i don’t fully understand how it works. but i managed to understand the basic idea. the plot is done in segments and stitched back together. below image shows the subplots.