Aspects


vs


Home Page
About Us

Pandas

Pandas is a Python library for data manipulation and analysis, e.g

Seaborn

Seaborn is a Python visualization library based on matplotlib



Others

Example

There are just so many features that you can control with the plotting capabilities of pandas which leverages matplotlib;i found that seaborn is a lot easier to produce pretty charts and you have a lot more control over the parameters of your plots

from question  

Change y-axis scaling fontsize in pandas dataframe.plot()

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

Seaborn is more for making the plots more readable with less direct intervention in the script and generally gets the most mileage when dealing with pandas dataframes for example yields as to how to set the styles the way you want for the variables you re trying to show that i m not sure how to handle

from question  

How to plot a dashed line on seaborn lineplot?

So if you are using pandas for basic plot you can use matplotlib for plot customization;however i propose an alternative method here using seaborn which allows more customization of the plot while not going into the basic level of matplotlib

from question  

Add x and y labels to a pandas plot

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"?

Back to Home
Data comes from Stack Exchange with CC-BY-SA-4.0