Any 'pretty' data visualization libraries for Python? [closed]
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开发者_Go百科Closed 9 years ago.
Improve this questionThere are plenty of 'pretty-printing' visualization libraries for Javascript. E.g. those listed here.
Googling for 'python visualization libraries' only turns up stuff like VTK and mayavi, which are primarily more for no-nonsense scientific use.
So, do you know of any Python libraries similar to those Javascript ones in the above link? I particularly like the Javascript Infovis Toolkit.
For Python there really isn't "one viz library to rule them all". There are different libraries and toolkits for different purposes. For graphs in Python you may find igraph useful. For other types of scientific or data visualizations matplotlib is also good.
Here's a new port of R's ggplot2 over to python. Looks very slick!
https://github.com/yhat/ggplot/
More info here: http://blog.yhathq.com/posts/ggplot-for-python.html
Also have a look at Seaborn, described as "Improved matplotlib for statistical data visualization": https://github.com/mwaskom/seaborn
The Seaborn examples are pretty slick:
Plotting Complex Linear Models
Visualization Distributions
Time Series Visualizations
Check out Bokeh at pydata
source code here
There's PyCha for charts.
are you looking for graph software?
Checkout http://www.graphviz.org/Gallery.php. it has python bindings.
I second matplotlib. Also Chaco. It's not Python, but for really quick heatmaps, go to OpenHeatMap.com
Networkx looks to be the best-documented of the graph libraries I've seen. I think it interfaces with Matplotlib for visualization.
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