ggplot for python SV 2014

•

2 j'aime•1,034 vues

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

Données & analyses

ggplot for
python
Greg Lamp

ggplot
● What is it?
● Alternatives
● How it works
● Why should I use it?
● Tutorial

Here I am on
the Internet.
Founder/CTO @ Yhat
Hi, I’m Greg!

What is
ggplot?

DSL for graphics

DSL for graphics
scatterplot
histogram
labels
color
shape

What about
matplotlib?

matplotlib
syntax, api,
default themes,
learning curve

matplotlib
maturity, ipython,
customization, community
syntax, api,
default themes,
learning curve

“Facet all
things”
www.gregreda.com

matplotlib ggplot

What about
d3.js?

d3.js

ggplot

ggplot d3.js

How it works

Format

ggplot

data frame

“aesthetics”

Aesthetics

color

shape

size

...fill, alpha, slope,
intercept, ymin,
ymax, ...

Geoms,
Stats, &
Scales

geom_point

geom_area

...there are many

stat_smooth

...there are a few

scale_color_brewer

scale_color_gradient

...there are many

Layers

+ +

+ +
ggplot() geom_point() stat_smooth()+ +

ggplot() +
geom_point() +
stat_smooth()

Why is this
good?

Makes “reasonable
assumptions”

not real colors

matplotlib freaks

still not real colors
...but i can guess
what you mean

Concise yet
expressive

Looks pretty good
(and is easy to customize)

Seaborngithub.com/mwaskom/seaborn

Tutorial

github.com/glamp/ggplot-tutorial/
OR
http://blog.yhathq.com/posts/facebook-ggplot-tutorial.html

What’s next

http://ggplot.yhathq.com

Thanks!
@theglamp
g@yhathq.com

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Building Real-Time Pipelines With FLaNK Timothy Spann, Principal Developer Advocate, Streaming - Cloudera Future of Data meetup, startup grind, AI Camp The combination of Apache Flink, Apache NiFi, and Apache Kafka for building real-time data processing pipelines is extremely powerful, as demonstrated by this case study using the FLaNK-MTA project. The project leverages these technologies to process and analyze real-time data from the New York City Metropolitan Transportation Authority (MTA). FLaNK-MTA demonstrates how to efficiently collect, transform, and analyze high-volume data streams, enabling timely insights and decision-making. Apache NiFi Apache Kafka Apache Flink Apache Iceberg LLM Generative AI Slack Postgresql

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ggplot for python SV 2014

1. ggplot for python Greg Lamp

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!

4. What is ggplot?

5.

6. DSL for graphics

7. DSL for graphics scatterplot histogram labels color shape

8. What about matplotlib?

9.

10. matplotlib syntax, api, default themes, learning curve

11. matplotlib maturity, ipython, customization, community syntax, api, default themes, learning curve

12. “Facet all things” www.gregreda.com

13.

14. matplotlib ggplot

15. What about d3.js?

18. ggplot d3.js

19. How it works

22.

24. “aesthetics”

26.

27.

28.

32. ...fill, alpha, slope, intercept, ymin, ymax, ...

33. Geoms, Stats, & Scales

36. ...there are many

37. stat_smooth

38. ...there are a few

39. scale_color_brewer

40. scale_color_gradient

41. ...there are many

43.

44. +

46. + + ggplot() geom_point() stat_smooth()+ +

47. ggplot() + geom_point() + stat_smooth()

48. Why is this good?

49. Makes “reasonable assumptions”

50. not real colors

51. matplotlib freaks

52. still not real colors ...but i can guess what you mean

53.

54. Concise yet expressive

55.

56.

57.

58. Looks pretty good (and is easy to customize)

59.

60. Seaborngithub.com/mwaskom/seaborn

62. github.com/glamp/ggplot-tutorial/ OR http://blog.yhathq.com/posts/facebook-ggplot-tutorial.html

63. What’s next

64. http://ggplot.yhathq.com

65. Thanks! @theglamp g@yhathq.com