All Versions
156
Latest Version
Avg Release Cycle
36 days
Latest Release
99 days ago

Changelog History
Page 14

  • v1.9.1 Changes

    November 26, 2015

    ➕ Added

    • The FigureFactory can now create annotated heatmaps with .create_annotated_heatmap. Check it out with: import plotly.tools as tls help(tls.FigureFactory.create_annotated_heatmap)
    • 🔨 The FigureFactory can now create tables with .create_table. import plotly.tools as tls help(tls.FigureFactory.create_table)

  • v1.9.0 Changes

    November 15, 2015
    • Previously, using plotly offline required a paid license. 📦 No more: plotly.js is now shipped inside this package to allow 🆓 unlimited free use of plotly inside the ipython notebook environment. 📦 The plotly.js library that is included in this package is free, open source, and maintained independently on GitHub at https://github.com/plotly/plotly.js.
    • The plotly.js bundle that is required for offline use is no longer downloaded 📦 and installed independently from this package: plotly.offline.download_plotlyjs 🗄 is deprecated.
    • 🆕 New versions of plotly.js will be tested and incorporated into this package as new versioned pip releases; plotly.js is not automatically kept in sync with this package.

  • v1.8.12 Changes

    November 02, 2015
    • Big data warning mentions plotly.graph_objs.Scattergl as possible solution.

  • v1.8.9 Changes

    October 11, 2015

  • v1.8.8 Changes

    October 05, 2015
    • Sometimes creating a graph with a private share-key doesn't work - the graph is private, but not accessible with the share key. 👀 Now we check to see if it didn't work, and re-try a few times until it does.

  • v1.8.7 Changes

    October 01, 2015

    ➕ Added

    • 🔨 The FigureFactory can now create dendrogram plots with .create_dendrogram.

  • v1.8.6 Changes

    September 28, 2015

    🛠 Fixed

    • Saving "world_readable" to your config file via plotly.tools.set_config actually works.

    ➕ Added

    • You can also save auto_open and sharing to the config file so that you can forget these keyword argument in py.iplot and py.plot.

  • v1.8.5 Changes

    September 29, 2015

    🛠 Fixed

    • 🛠 Fixed validation errors (validate=False workaround no longer required)

    ➕ Added

    • 🔀 Auto-sync API request on import to get the latest schema from Plotly
    • .-access for nested attributes in plotly graph objects
    • General .help() method for plotly graph objects
    • Specific attribute .help(<attribute>) also included

    ✂ Removed

    • No more is streamable, streaming validation.

  • v1.8.3 Changes

    August 14, 2015

    🛠 Fixed

    • 🛠 Fixed typos in plot and iplot documentations

  • v1.8.2 Changes

    August 11, 2015

    ➕ Added

    • 🔄 CHANGELOG
    • sharing keyword argument for plotly.plotly.plot and plotly.plotly.iplot with options 'public' | 'private' | 'secret' to control the privacy of the charts. Depreciates world_readable

    🔄 Changed

    • 👻 If the response from plot or iplot contains an error message, raise an exception

    ✂ Removed

    • height and width are no longer accepted in iplot. Just stick them into your figure's layout instead, it'll be more consistent when you view it outside of the IPython notebook environment. So, instead of this:
      py.iplot([{'x': [1, 2, 3], 'y': [3, 1, 5]}], height=800)

    do this:

      py.iplot({
    'data': [{'x': [1, 2, 3], 'y': [3, 1, 5]}],
    'layout': {'height': 800}
  })

    🛠 Fixed

    • The height of the graph in iplot respects the figure's height in layout