25 days ago
A Julia interface to the plot.ly plotting library and cloud services
For example, this will display a basic scatter plot:
my_plot = plot([scatter(x=[1,2], y=[3,4])], Layout(title="My plot"))
Find your username and API key in the Plotly settings.
julia> Plotly.signin("username","your api key") PlotlyAccount("username","your api key")
Note: you may also specify your session endpoints using sign in as follows:
julia> Plotly.signin("username","your api key",Dict("plotly_domain"=> "your_plotly_base_endpoint", "plotly_api_domain"=> "your_plotly_api_endpoint"))
Note: your credentials will be saved within /YOUR_HOME_DIR/.plotly/.credentials
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
post function to upload a local plot to the Plotly cloud:
> my_plot = plot([scatter(y=[1,2])]) > remote_plot = post(my_plot) Plotly.RemotePlot(URI(https://plot.ly/~malmaud/73))
Visiting https://plot.ly/~malmaud/73 in a browser will show the plot.
download function with a remote plot object to download a plot stored on the Plotly cloud to a local
local_plot = download(RemotePlot("https://plot.ly/~malmaud/73")) # or equivalently, local_plot = download_plot("https://plot.ly/~malmaud/73")
PlotlyJS.jl , which provides the large majority of the functionality of this package, is developed primarily by Spencer Lyon.
This package, which adds to PlotlyJS.jl the functionality for interacting with the Plotly cloud, is developed by Jon Malmaud and others.
Please do! This is an open source project. Check out the issues or open a PR!
We want to encourage a warm, welcoming, and safe environment for contributing to this project. See the code of conduct for more information.
MIT © 2016-2017 Shilei Zheng, Leah Hanson, Bryan A. Knowles, Chris Palmer, Jon Malmaud