While it is good to have plotnine for python but ggplot2 in R has this whole ecosystem of packages/extensions that augment the ggplot2 such as ggalluvial, ggrepel. More at this link https://exts.ggplot2.tidyverse.org/gallery/
This would make it really compelling to tip my toes in the Python world. Regardless, I am liking this "ggplotification" of python. All we need is more "tidification" of Python data frame world.
Plotnine
41–50 of 83 posts
Re: Plotnine
#42Love plotnine when I switched over to python and great to see the project develop! But I have to admit I ended up switching to altair after all which has been my go to in python now.
Re: Plotnine
#43matplotlib is what most folks reach for by default, but I'd argue that's habit and popularity talking, not a real fit advantage. For a lot of plotting work, the grammar-of-graphics libraries — Altair, plotnine — may be the better tool for many people (and Agents); they just don't have the muscle memory behind them.
(Disclosure: I'm at Posit, which supports plotnine.)
Re: Plotnine
#44Earlier quoted context omitted.
Because, in the latter case, you have to declare a function argument for /every possible option/ that you want your graphics API to expose, and you need to do this every time you add a new option. On the other hand, declaring the options through composition means that the API for "plot" remains static, and adding/removing options can be done trivially without an API change. Composition (rather than parameters) is als…
And how do you express that as arithmetic? I can get as far as `plot() / 3` but then no idea how to proceed. I don't think overloading arithmetic is a very good way to express this.
Isn't this somewhat the point of python's override capability? You can exactly define what addition means here, just like you have to define what addition means for a matrix or another data structure.
Separately you might find this to be smelly design, but then you should remember that this at least has precedence ¯\_(ツ)_/¯
Re: Plotnine
#45matplotlib is what most folks reach for by default, but I'd argue that's habit and popularity talking, not a real fit advantage. For a lot of plotting work, the grammar-of-graphics libraries — Altair, plotnine — may be the better tool for many people (and Agents); they just don't have the muscle memory behind them. (Disclosure: I'm at Posit, which supports plotnine.)
It supports plotnine via plot display window, do you mean?
Re: Plotnine
#46Earlier quoted context omitted.
Because, in the latter case, you have to declare a function argument for /every possible option/ that you want your graphics API to expose, and you need to do this every time you add a new option. On the other hand, declaring the options through composition means that the API for "plot" remains static, and adding/removing options can be done trivially without an API change. Composition (rather than parameters) is als…
kwargs exists, and is rather more pythonic. Just pass the kwargs dict to a standard formatting function, et voila.
Sadly, this drive towards the API design that matplotlib resembles, the raison d'etre of this library is the unusual (imho, great) API
Re: Plotnine
#47matplotlib is what most folks reach for by default, but I'd argue that's habit and popularity talking, not a real fit advantage. For a lot of plotting work, the grammar-of-graphics libraries — Altair, plotnine — may be the better tool for many people (and Agents); they just don't have the muscle memory behind them. (Disclosure: I'm at Posit, which supports plotnine.)
What would you say are the benefits of the grammar-of-graphics approach? I've been working with plotting for more than a decade now and have never heard of it. Right now I'm looking through the gallery and can't really grasp what makes this approach better than the one in matplotlib.
PS. It took someone in the comments writing "import plotnine as p9" for me to understand it isn't plotLine.
Re: Plotnine
#48I've always liked the ggplot2 and the Grammar of Graphics approach to plotting so much so that I wrote my own DSL based on it - it is standalone, written in Rust, has WASM bindings (as you can see on the website) and more: https://williamcotton.github.io/algraf It pairs well with a related data translation DSL: https://williamcotton.github.io/pdl And you can see the two working together here: https://williamcotton.gi…
A year ago, added R to the pipeline (with multiple complications) just to use ggplot2 - even though Python was the main tech.
https://quesma.com/blog/sandboxing-ai-generated-code-why-we-...
Good, that ggplot2 can run inside in WASM, vide https://github.com/QuesmaOrg/webr-ggplot-playground
Re: Plotnine
#49matplotlib is what most folks reach for by default, but I'd argue that's habit and popularity talking, not a real fit advantage. For a lot of plotting work, the grammar-of-graphics libraries — Altair, plotnine — may be the better tool for many people (and Agents); they just don't have the muscle memory behind them. (Disclosure: I'm at Posit, which supports plotnine.)
What would you say are the benefits of the grammar-of-graphics approach? I've been working with plotting for more than a decade now and have never heard of it. Right now I'm looking through the gallery and can't really grasp what makes this approach better than the one in matplotlib. PS. It took someone in the comments writing "import plotnine as p9" for me to understand it isn't plotLine.
It has to do with the structure of the information/inputs. Its more a DSL with a structure rather than a jumble of API arguments. So first few times out it may take some getting used to, but as that structure becomes clear it becomes more intuitive. Thats also why even with way more matplotlib examples in the world, LLM agents do better "guessing" how to use plotnine... or at least it was that way a few months ago when we were testing them head to head.
Re: Plotnine
#50How does it handle realtime plotting?