##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:

• Chart Gallery
• Pandas Like Visualization
• The Basics
• Color Management
• Offline Mode

See the IPython Notebook

• Support for pie charts
  • cf.datagen.pie().iplot(kind='pie',labels='labels',values='values')
• Generate Open, High, Low, Close data
  • datagen.ohlc()
• Candle Charts support
  • ohlc=cf.datagen.ohlc()
ohlc.iplot(kind='candle',up_color='blue',down_color='red')
• OHLC (Bar) Charts support
  • ohlc=cf.datagen.ohlc()
ohlc.iplot(kind='ohlc',up_color='blue',down_color='red')
• Support for logarithmic charts ( logx | logy )
  • df=pd.DataFrame([x**2] for x in range(100))
df.iplot(kind='lines',logy=True)
• Support for MulitIndex DataFrames
• Support for Error Bars ( error_x | error_y )
  • cf.datagen.lines(1,5).iplot(kind='bar',error_y=[1,2,3.5,2,2])
  • cf.datagen.lines(1,5).iplot(kind='bar',error_y=20, error_type='percent')
• Support for continuous error bars
  • cf.datagen.lines(1).iplot(kind='lines',error_y=20,error_type='continuous_percent')
  • cf.datagen.lines(1).iplot(kind='lines',error_y=10,error_type='continuous',color='blue')
• Technical Analysis Studies for Timeseries (beta)
  • Simple Moving Averages (SMA)
    • cf.datagen.lines(1,500).ta_plot(study='sma',periods=[13,21,55])
  • Relative Strength Indicator (RSI)
    • cf.datagen.lines(1,200).ta_plot(study='boll',periods=14)
  • Bollinger Bands (BOLL)
    • cf.datagen.lines(1,200).ta_plot(study='rsi',periods=14)
  • Moving Average Convergence Divergence (MACD)
    • cf.datagen.lines(1,200).ta_plot(study='macd',fast_period=12,slow_period=26, signal_period=9)

• Support of offline charts
  • cf.go_offline()
  • cf.go_online()
  • cf.iplot(figure,online=True) (To force online whilst on offline mode)
• Support for secondary axis
  • fig=cf.datagen.lines(3,columns=['a','b','c']).figure()
fig=fig.set_axis('b',side='right')
cf.iplot(fig)

• Support for global theme setting
  • cufflinks.set_config_file(theme='pearl')
• New theme ggplot
  • cufflinks.datagen.lines(5).iplot(theme='ggplot')
• Support for horizontal bar charts barh
  • cufflinks.datagen.lines(2).iplot(kind='barh',barmode='stack',bargap=.1)
• Support for histogram orientation and normalization
  • cufflinks.datagen.histogram().iplot(kind='histogram',orientation='h',norm='probability')
• Support for area plots
  • cufflinks.datagen.lines(4).iplot(kind='area',fill=True,opacity=1)
• Support for subplots
  • cufflinks.datagen.histogram(4).iplot(kind='histogram',subplots=True,bins=50)
  • cufflinks.datagen.lines(4).iplot(subplots=True,shape=(4,1),shared_xaxes=True,vertical_spacing=.02,fill=True)
• Support for scatter matrix to display the distribution amongst every series in the DataFrame
  • cufflinks.datagen.lines(4,1000).scatter_matrix()
• Support for vline and hline for horizontal and vertical lines
  • cufflinks.datagen.lines(3).iplot(hline=[2,3])
  • cufflinks.datagen.lines(3).iplot(hline=dict(y=2,color='blue',width=3))
• Support for vspan and hspan for horizontal and vertical areas
  • cufflinks.datagen.lines(3).iplot(hspan=(-1,2))
  • cufflinks.datagen.lines(3).iplot(hspan=dict(y0=-1,y1=2,color='orange',fill=True,opacity=.4))

• Global setting for public charts
  • cufflinks.set_config_file(world_readable=True)

• 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 named colors * iplot(colors=['pink','red','yellow'])