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Iplot Settings File

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  1. Iplot Settings File

How to set the privacy settings of plotly graphs in python. Three examples of different privacy options: public, private and secret.

The document Suggests 'Use plotly.offline.plot to create and standalone HTML that is saved locally and opened inside your web browser. Use plotly.offline.iplot when working offline in a Jupyter Notebook to display the plot in the notebook.' – Sunitha Jun 21 '18 at 10:39. Into iPlot and iPlot Organizer. All used and unused levels that are turned on in the DGN file will be turned on for plotting, the instance the plot files are created. All used and unused levels that are turned off in the DGN file will be turned off for plotting, the instance the plot files are created.


New to Plotly?

Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Default Privacy¶

By default, plotly.iplot() and plotly.plot() create public graphs (which are free to create). With a plotly subscription you can easily make charts private or secret via the sharing argument.

Below is the URL of this public plot. Anyone can view public plots even if they are not logged into Plotly. Go ahead and try it out:

Below is the URL of the private plot above. Only the owner can view the private plot. You won't be able to view this plot, try it out:

Settings

Below is the URL of this secret plot. Anyone with the secret link can view this chart. However, it will not appear in the Plotly feed, your profile, or search engines. Go ahead and try it out:

Make All Future Plots Private¶

To make all future plots private, you can update your configuration file to create private plots by default:

Make All Existing Plots Private¶

This example uses Plotly's REST API

Define variables, including YOUR USERNAME and API KEY

Iplot Settings File

Collect filenames of ALL of your plots and
update world_readable of each plot with a PATCH request