Quickstart¶
All you need is a dataframe with your data [1] and a single call to the plotting function, as here detailed.
(See Dataframe for few lines of code to construct your dataframe in case you don’t have one to start with)
- In Python:
>>> import plotly.graph_objects as go
>>> from cmplot import cmplot
#call the cmplot directly inside a plotly Figure function as:
>>> go.Figure(*cmplot(mydataframe,xcol="xsymbol"))
#alternatively get traces and layout as separate variables, so that you can modify them or combine with others before passing them to Figure() function:
>>> (traces,layout)=(cmplot(mydataframe,xcol="xsymbol"))
#[...] do something with traces/layout
>>> go.Figure(traces,layout) #plot it
- In Julia:
julia> using CMPlot
julia> using PlotlyJS
#call the cmplot directly inside a plotly Figure function as:
julia> plot(cmplot(mydataframe,xcol=:xsymbol)...)
#alternatively get traces and layout as separate variables, so that you can modify them or combine with others before passing them to Figure() function:
julia> traces,layout=cmplot(mydataframe,xcol=:xsymbol)
julia> # [...] do something with traces/layout
julia> plot(traces,layout) # plot it
Footnotes
[1] | a dataframe with at least one column holding a categorical independent variable - we’ll refer to it as xcol - and at least one column holding a continuous dependent variable - which we’ll term ycol |