4 ms·

Starting out with R and later moving more into Python I absolutely hate the seemingly unnecessary complexity of matplotlib. Honerable mention is also bokeh - ht

Starting out with R and later moving more into Python I absolutely hate the seemingly unnecessary complexity of matplotlib. Honerable mention is also bokeh - http://bokeh.pydata.org/en/latest/ http://bokeh.pydata.org/en/latest/ which does a nice job.

chestervonwinch 10y ago
As someone who has never used R, but uses matplotlib frequently, could you give some examples where matplotlib is comparatively more complex? I'm genuinely curious. Also, have your tried seaborn [1]? It's a matplotlib wrapper for making some common statistical plots less tiresome. [1]: https://seaborn.github.io/ https://seaborn.github.io/
- elsherbini 10y ago
  The article does a good job for scene 5 where they show the code for a barchart in matplotlib in python, ggplot2 in R , and ggplot in python (with help from pandas).
- baldfat 10y ago
  https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html https://cran.rstudio.com/web/packages/dplyr/vignettes/introd... In R we have a neat Library that really shows the simplicity of called dplyr. If you just look at this little vignette I think you will see the simplicity we are moving in as a language.
beojan 10y ago
The matplotlib API was designed for people moving to Python from Matlab.
denfromufa 10y ago
Matplotlib allows insane customization including 3d plots with projections, and plots with more than 2 y-axis.
baldfat 10y ago
Just stating this so people don't view this as a slight to R, because I don't think that was your purpose. I started in Python and then Pandas and moved to R and haven't looked back. R vs Python is really just a personal experience. They are both great choices. I just like the R world more and the way everything can be integrated with each other. For example the Hadley Wickham Universe of Libraries.
- deleted 10y ago
  [deleted]

4 ms·

Starting out with R and later moving more into Python I absolutely hate the seemingly unnecessary complexity of matplotlib. Honerable mention is also bokeh - ht

by listentojohan 10y ago

chestervonwinch 10y ago
As someone who has never used R, but uses matplotlib frequently, could you give some examples where matplotlib is comparatively more complex? I'm genuinely curious. Also, have your tried seaborn [1]? It's a matplotlib wrapper for making some common statistical plots less tiresome. [1]: https://seaborn.github.io/ https://seaborn.github.io/
- elsherbini 10y ago
  The article does a good job for scene 5 where they show the code for a barchart in matplotlib in python, ggplot2 in R , and ggplot in python (with help from pandas).
- baldfat 10y ago
  https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html https://cran.rstudio.com/web/packages/dplyr/vignettes/introd... In R we have a neat Library that really shows the simplicity of called dplyr. If you just look at this little vignette I think you will see the simplicity we are moving in as a language.
beojan 10y ago
The matplotlib API was designed for people moving to Python from Matlab.
denfromufa 10y ago
Matplotlib allows insane customization including 3d plots with projections, and plots with more than 2 y-axis.
baldfat 10y ago
Just stating this so people don't view this as a slight to R, because I don't think that was your purpose. I started in Python and then Pandas and moved to R and haven't looked back. R vs Python is really just a personal experience. They are both great choices. I just like the R world more and the way everything can be integrated with each other. For example the Hadley Wickham Universe of Libraries.
- deleted 10y ago
  [deleted]