Merge pull request #21 from plotly/jmm/new

Delegate plotting functionality to PlotlyJS

Author: malmaud

.gitignore

@@ -0,0 +1 @@
+*.tags*

.travis.yml

@@ -4,6 +4,5 @@ os:
   - osx
 julia:
   - release
-  - nightly
 notifications:
   email: false

LICENSE.md

@@ -1,11 +1,12 @@
 The Plotly.jl package is licensed under the MIT "Expat" License:
 
-> Copyright (c) 2015:
+> Copyright (c) 2016:
 >  * Shilei Zheng
 >  * Leah Hanson
 >  * Bryan A. Knowles
 >  * chriddyp
->
+>  * Jon Malmaud
+
 > Permission is hereby granted, free of charge, to any person obtaining
 > a copy of this software and associated documentation files (the
 > "Software"), to deal in the Software without restriction, including

README.md

@@ -1,176 +1,75 @@
-# A Julia interface to the plot.ly API
+# A Julia interface to the plot.ly plotting library and cloud services
 
 [![Build Status](https://travis-ci.org/plotly/Plotly.jl.svg)](https://travis-ci.org/plotly/Plotly.jl)
 
-README quickly to get started. Alternately, checkout out the pretty Julia docs at https://plot.ly/julia/
-
 ## Installation
 
-Given that you have Julia v0.2.1,
+Simply run `Pkg.add("Plotly")`.
 
-```julia
-Pkg.clone("https://github.com/plotly/Plotly.jl")
-```
+## Plotting
+
+Plotting functions provided by this package are identical to [PlotlyJS](https://github.com/spencerlyon2/PlotlyJS.jl). Please consult its [documentation](http://spencerlyon.com/PlotlyJS.jl/).
+
+For example, this will display a basic scatter plot:
 
-## Usage
-```julia
-julia> using Plotly
-INFO: Cloning Plotly from https://github.com/plotly/Plotly.jl
-INFO: Computing changes...
-INFO: No packages to install, update or remove.
+```
+my_plot = plot([scatter(x=[1,2], y=[3,4])], Layout(title="My plot"))
 ```
 
-You'll need to create a plot.ly account and find out your API key before you'll be able to use this package.
+## Using the Plotly cloud
 
-## New user signup
+### New user signup
 Find your username and API key in the [Plotly settings](https://plot.ly/settings).
 
-## Signin
+### Signin
 ```julia
 julia> Plotly.signin("username","your api key")
 PlotlyAccount("username","your api key")
 ```
 
-Note: you may also specify your session endpoints using signin as follows: 
+Note: you may also specify your session endpoints using signin as follows:
 
 ```julia
 julia> Plotly.signin("username","your api key",Dict("plotly_domain"=> "your_plotly_base_endpoint", "plotly_api_domain"=> "your_plotly_api_endpoint"))
 ```
 
-## Saving your credentials
+### Saving your credentials
 ```julia
 julia> Plotly.set_credentials_file(Dict("username"=>"your_user_name","api_key"=>"your_api_key"))
 ```
 
 Note: your credentials will be saved within /YOUR_HOME_DIR/.plotly/.credentials
 
-## Saving your endpoint configuration
+### Saving your endpoint configuration
 ```julia
 julia> Plotly.set_config_file(Dict("plotly_domain"=> "your_plotly_base_endpoint", "plotly_api_domain"=> "your_plotly_api_endpoint"))
 ```
 
 Note: your configuration will be saved within /YOUR_HOME_DIR/.plotly/.config
 
-## Plot && Open in browser
-```julia
-julia> Plotly.openurl(Plotly.plot(["z"=>rand(6,6)],["style"=>["type"=>"heatmap"]]))
-START /bin/firefox "https://plot.ly/~astrieanna/0"
-```
-
-That last line is what the REPL prints out,
-as a Firefox tab opens with the plot.
-You can also just call `plot` by itself, and you'll get a String that's the url of your chart.
-
-## Style and Layout
-```julia
-julia> Plotly.style(["line"=>["color"=>"rgb(255,0,0)","width"=>10]])
-julia> Plotly.layout(["layout"=>["title"=>"Time Wasted"]])
-```
-
-# Quick Plotting
-## Functions and Polynomials
-```julia
-julia> Plotly.plot(abs)
-julia> Plotly.plot([sqrt, log], ["left"=>10, "right"=>20, "step"=>0.1])
-julia> Plotly.plot() do x
-       savings = 3000
-       income = x*1000
-       expenses = x*800
-       return savings+income-expenses
-       end
-```
+### Saving a plot to the cloud
 
-You can now plot functions directly.
-The first line shows how to plot the absolute value function, and the second line plots
-the square root and logarithm functions, both from 10 to 20 at increments of 0.1.
-The last line shows how to use Julia's `do` syntax to plot complicated anonymous functions.
+Use the `post` function to upload a local plot to the Plotly cloud:
 
-```julia
-julia> using Polynomial
-julia> x = Poly([1,0])
-julia> Plotly.plot(3x^3 + 2x^2 - x + 1)
-julia> Plotly.plot([x, 2x, 3x^2-x])
 ```
-
-Using the Polynomial package, you can plot polynomials directly the same way as math functions.
-
-## DataFrames and TimeSeries
-```julia
-julia> using DataFrames
-julia> df = readtable("height_vs_weight.csv")
-julia> Plotly.plot(df, ["xs"=>:height, "ys"=>:weight])
+> my_plot  = plot([scatter(y=[1,2])])
+> remote_plot = post(my_plot)
+Plotly.RemotePlot(URI(https://plot.ly/~malmaud/73))
 ```
 
-Using the DataFrames package, you can read CSV data and plot it directly by passing the data frame and setting the xs and/or ys options. These are symbols or arrays of symbols refering to columns names in the CSV file.
+Visiting <https://plot.ly/~malmaud/73> in a browser will show the plot.
 
-```julia
-julia> using TimeSeries
-julia> d = [date(2012,5,29):date(2013,5,29)]
-julia> t = TimeArray(d, rand(length(d),2), ["foo","bar"])
-julia> Plotly.plot(t)
-```
+### Download a plot from the cloud
 
-Using the TimeSeries package, you can plot them directly by passing a TimeArray argument.
+Use the `download` function with a remote plot object to download a plot stored on the Plotly cloud to a local `Plot` object:
 
-## WAV Files
-```julia
-julia> using WAV
-julia> Plotly.plot(wavread("filename.wav"))
 ```
-
-Using the WAV package, you can plot WAV files by passing a call to the `wavread` function.
-
-# Detailed Plotting
-## Arrays and Dicts
-```julia
-julia> trace1 = Plotly.line([3x for x in 1:1000])
-julia> trace2 = Plotly.histogram([3x for x in 1:1000])
-julia> trace3 = Plotly.scatter([2x => 3x for x in 1:1000])
-julia> trace4 = Plotly.box([2x => 3x for x in 1:1000])
-julia
+local_plot = download(RemotePlot("https://plot.ly/~malmaud/73"))
+# or equivalently, local_plot = download_plot("https://plot.ly/~malmaud/73")
 ```
 
-## Functions and Polynomials
-```julia
-julia> trace1 = Plotly.line(abs, ["left"=>10, "right"=>20, "step"=>0.1])
-julia> trace2 = Plotly.box(sin, ["left"=>10, "right"=>20, "step"=>0.1])
-julia> trace3 = Plotly.scatter(cos, ["left"=>10, "right"=>20, "step"=>0.1])
-julia> trace4 = Plotly.histogram(cos, ["left"=>10, "right"=>20, "step"=>0.1])
-julia> Plotly.plot([trace1, trace2, trace3, trace4])
-
-julia> using Polynomial
-julia> x = Poly([1,0])
-julia> trace1 = Plotly.line(3x^3 + 2x^2 - x + 1)
-julia> trace2 = Plotly.histogram(3x^3 + 2x^2 - x + 1)
-julia> Plotly.plot([trace1, trace2])
-```
 
-## DataFrames and TimeSeries
-```julia
-julia> using DataFrames
-julia> df = readtable("height_vs_weight.csv")
-julia> trace1 = Plotly.line(df, ["xs"=>:height, "ys"=>:weight])
-julia> trace2 = Plotly.scatter(df, ["xs"=>:height, "ys"=>:weight])
-julia> trace3 = Plotly.histogram(df, ["xs"=>:height])
-julia> trace4 = Plotly.box(df, ["ys"=>:weight])
-julia> Plotly.plot([trace1, trace2, trace3, trace4])
-
-julia> using TimeSeries
-julia> d = [date(2012,5,29):date(2013,5,29)]
-julia> t = TimeArray(d, rand(length(d),2), ["foo","bar"])
-julia> trace1 = Plotly.line(t)
-julia> trace2 = Plotly.scatter(t)
-julia> trace3 = Plotly.box(t)
-julia> trace4 = Plotly.histogram(t)
-julia> Plotly.plot([trace1, trace2, trace3, trace4])
-```
+### Acknowledgements
+[PlotlyJS.jl ](https://github.com/spencerlyon2/PlotlyJS.jl), which provides the large majority of the functionality of this package, is developed primarily by Spencer Lyon.
 
-## WAV Files
-```julia
-julia> using WAV
-julia> trace1 = Plotly.line(wavread("filename.wav"))
-julia> trace2 = Plotly.histogram(wavread("filename.wav"))
-julia> trace3 = Plotly.box(wavread("filename.wav"))
-julia> trace4 = Plotly.scatter(wavread("filename.wav"))
-julia> Plotly.plot([trace1, trace2, trace3, trace4])
-```
+This package, which adds to PlotlyJS.jl the functionality for interacting with the Plotly cloud, is developed by Jon Malmaud and others.

REQUIRE

@@ -1,2 +1,6 @@
-Requests
+julia 0.4
+Requests 0.3.5
 JSON
+PlotlyJS 0.2.0
+Compat 0.7.20
+Reexport