Pandas is a Python library for data manipulation and analysis, e.g
Seaborn is a Python visualization library based on matplotlib
"For similar functionality that speaks pandas but has more flexible features you could use the facetgrid object from seaborn"
from question "Is there a way to pass different vertical lines to each subplot when using pandas histogram with "by=somevar"?"
"I also think working with seaborn is much easier using pandas dataframes and not numpy arrays"
from question "How to decrease the density of x-ticks in seaborn"