Pandas DataFrame is fundamental in data science but Pandas also has a great plotting tool.
What pandas plot lacks in statistic power when compared to other visualization libraries like Seaborn. Pandas plotting makes up for this in its ease to use and it a typical data analysis workflow a data scientist will you both pandas plot and seaborn depending on the need of the analysis.
A very cool feature of pandas plotting is that we can a back-end option to allow us to use pandas plot to plot interactive plots like can with Plotly.
We do this by setting the pandas plotting backend to = plotly. It's that easy to access all of the interactivity we have in Plotly but with the ease of use of Pandas plot.
Python Basics
https://www.datasimple.education/pyth...
check out more data learning videos
https://www.datasimple.education/data...
One on one time with Data Science Teacher Brandyn
https://www.datasimple.education/one-...
data science teacher brandyn on facebook
/ datascienceteacherbrandyn
data science teacher brandyn on linkedin
/ admin
Showcase your DataArt linkedin
/ 1038628576726134
Showcase your DataArt facebook
/ 12736236
Python data analysis group, share your analysis
/ 1531938470572261
Machine learning in sklearn group
/ 575574217682061
Join the deep learning with tensorflow for more info