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mwaskom/seaborn

View on GitHub ↗ ★ 14,096 Python

Statistical data visualization in Python

11 mentions on Hacker News by 11 people: 4 stories, 7 comments · first 2013-11-25 · latest 2024-05-03

Mentions per year 11 mentions · busiest year 2015 (4)
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  1. …issue linked in the paper, “Treat binwidth as approximate to avoid dropping outermost datapoints” ( https://github.com/mwaskom/seaborn/pull/3489 ), summarizes the problem as follows: > floating point errors could cause the largest…
  2. I ran into this once when I tried to replicate a virtualization with seaborn using the jet colormap: https://github.com/mwaskom/seaborn/blob/master/seaborn/palet...
  3. …any warning, etc. that something is wrong. I made a minimal example script, opened a github issue ( https://github.com/mwaskom/seaborn/issues/1409 ), where the library author insulted me and locked the issue. I sent them a followup email,…
  4. …(matplotlib is also very slow, independently of the backend). But at least, if you use seaborn ( https://github.com/mwaskom/seaborn ), you can easily intermix the easiness of plotting through a DataFrame or just supply data arrays. ggplot…
  5. For stats plotting in python: https://github.com/mwaskom/seaborn https://github.com/yhat/ggplot For stats plotting and web apps in python: https://github.com/bokeh/bokeh For calling r libraries in python: https://pypi.python.org/pypi/rpy2…
  6. …as ugly as you like them to be. Here's a great auxiliary package with much more sensible defaults: https://github.com/mwaskom/seaborn
  7. For ggplot - there is (sort of) a clone of it for Python, https://github.com/mwaskom/seaborn . And it has, arguably, better graphics. As a Python user, who resorts to R in case of need, the power of R is not in the language, but…
    comment by stared · 2014-12-04 · in The R language, for programmers