ggplot for python SV 2014
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Making basic, good-looking plots in Python is tough. Matplotlib gives you great control, but at the expense of being very detailed. The rise of pandas has made Python the go-to language for data wrangling and munging but many people are still reluctant to leave R because of its outstanding data viz packages. ggplot is a port of the popular R package ggplot2. It provides a high level grammar that allow users to quickly and easily make good looking plots. So say good-bye to matplotlib, and hello to ggplot as your everyday Python plotting library! https://github.com/yhat/ggplot
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ggplot for python SV 2014
- 2. ggplot ● What is it? ● Alternatives ● How it works ● Why should I use it? ● Tutorial
- 3. Here I am on the Internet. Founder/CTO @ Yhat Hi, I’m Greg!
- 11. matplotlib maturity, ipython, customization, community syntax, api, default themes, learning curve
- 16. d3.js
- 17. ggplot
- 18. ggplot d3.js
- 19. How it works
- 20. Format
- 21. ggplot
- 23. data frame
- 24. “aesthetics”
- 25. Aesthetics
- 29. color
- 30. shape
- 31. size
- 32. ...fill, alpha, slope, intercept, ymin, ymax, ...
- 34. geom_point
- 35. geom_area
- 37. stat_smooth
- 38. ...there are a few
- 42. Layers
- 44. +
- 45. + +
- 46. + + ggplot() geom_point() stat_smooth()+ +
- 50. not real colors
- 52. still not real colors ...but i can guess what you mean
- 58. Looks pretty good (and is easy to customize)
- 61. Tutorial
- 63. What’s next