##Cufflinks
This library binds the power of plotly with the flexibility of pandas for easy plotting.
This library is available on https://github.com/santosjorge/cufflinks
This tutorial assumes that the plotly user credentials have already been configured as stated on the getting started guide.
###Tutorials:
- Enhanced Spread charts
cufflinks.datagen.lines(2).iplot(kind='spread')
- Support for Heatmap charts
cufflinks.datagen.heatmap().iplot(kind='heatmap')
- Support for Bubble charts
cufflinks.datagen.bubble(4).iplot(kind='bubble',x='x',y='y',text='text',size='size',categories='categories')
- Support for Bubble3d charts
cufflinks.datagen.bubble3d(4).iplot(kind='bubble3d',x='x',y='y',z='z',text='text',size='size',categories='categories')
- Support for Box charts
cufflinks.datagen.box().iplot(kind='box')
- Support for Surface charts
cufflinks.datagen.surface().iplot(kind='surface')
- Support for Scatter3d charts
cufflinks.datagen.scatter3d().iplot(kind='scatter3d',x='x',y='y',z='z',text='text',categories='categories')
- Support for Histograms
cufflinks.datagen.histogram(2).iplot(kind='histogram')
- Data generation for most common plot types
cufflinks.datagen
- Data extraction: Extract data from any Plotly chart. Data is delivered in DataFrame
cufflinks.to_df(Figure)
- Integration with colorlover
- Support for scales
iplot(colorscale='accent')
to plot a chart using an accent color scale - cufflinks.scales() to see all available scales
- Support for scales
- Support for named colors
*
iplot(colors=['pink','red','yellow'])