Lets-plot: An interactive Python plotting library using ggplot's API

Re:Lets-plot: An interactive Python plotting library using g... by clircle on Wednesday September 09, 2020 @12:19PM (#24422584)

> Needing to download a million random packages from grad students of the internet is a recipe for disaster.

This is baloney. You don't need to rely on a million R packages. You really only need a good plotting library (the built-in one is fine, or use ggplot), a good data frame library (dplyr, data.table, or use build-in one), and a few extras to handle some weird rough edges (lubridate, forcats).

This takes you to 90% to your analysis goals.

Only novices are 'using a million random packages', which is probably the case for python as well.

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Re:Lets-plot: An interactive Python plotting library using g... by phillc73 on Wednesday September 09, 2020 @02:12PM (#24423971)

I also believe this is now being addressed by the pharmar[1] group with their riskmetric[2] package.

[1] https://www.pharmar.org/

[2] https://github.com/pharmaR/riskmetric

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Re:Lets-plot: An interactive Python plotting library using g... by antipaul on Wednesday September 09, 2020 @02:05PM (#24423880)

Indeed. `library(tidyverse)` and I’m set for like 70-80% of use cases for data manipulation, exploratory data analysis, and statistics.

Though to be complete, any ML project means python and scikit learn.

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