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PYTHON很多好看的作图库，但是都是基于matplotlib进行开发封装的！我用过seaborn, bokeh, ggplot这三个库！
seaborn是偏向于统计作图的，尤其是线性作图，用起来比较顺手，简单。seaborn整个语法层也会简化很多，画出的图不需要修饰看起来也很好看。但是绘图方式有限，不够灵活
bokeh是使用了js。因此主打的是交互式绘图，你可以在Ipython notebook里使用到最佳！画出的图非常好看，关键是可以交互修改！ 缺点是语法有点生涩，一点也不必matplotlib简单
ggplot就算了吧，和R语言那个GGPLOT2比起来，简直是感觉在用两个包，似然都是同一个人开发的！ 而且原作者也在GITHUB上说了，不再会更新PYTHON的库！ 不过话说，ggplot2真的是绘图神器，这几乎是我还在用R语言的唯一原因。
因此，不管你想要用哪个库，matplotlib都是必须要学的。虽然他语法复杂，但是灵活性大，你几乎能画出任何你想要的图形。 Here we go:
- ggplot
- Seaborn
- Bokeh
- Pygal
- python-igraph
- folium
- NetworkX
- Mayavi
- VisPy
- PyQtGraph
- vincent
- Plotly
bokeh: 使用javascript，可以產生互動圖表內嵌於瀏覽器與iPython-notebook，內建圖表互動工具，很方便，但版本時常更新，語法有時候不向下兼容。
d3.py: python的D3.js，javascript驅動可互動圖表，可調整細項多。
python-ndv3: python的ndv3，javascript驅動的互動圖表，ndv3基本上就是d3.js的簡化版本，可調整項目較少。
mpld3: 與法跟matplotlib接近，靠D3.js javascript驅動，同樣可以嵌於瀏覽器。
toyplot: 風格很特殊的plot library，可調部分極少，當toy可行，一樣javascript驅動，可互動，可內嵌瀏覽器。 如果要用Python可视化GPS数据，basemap是不二选择
https://pypi.python.org/pypi/basemap
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