All Versions
146
Latest Version
Avg Release Cycle
25 days
Latest Release
52 days ago

Changelog History
Page 1

  • v5.3.1 Changes

    August 31, 2021

    ⚡️ Updated

    • ⚡️ Updated Plotly.js to from version 2.4.1 to version 2.4.2. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • Bug fix for rendering unified hover labels in classic Jupyter Notebooks

  • v5.3.0 Changes

    August 29, 2021

    ⚡️ Updated

    • ⚡️ Updated Plotly.js to from version 2.3.1 to version 2.4.1. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • Added legend.groupclick options
      • Provide bbox of hover items in event data

  • v5.2.2 Changes

    August 23, 2021

    🛠 Fixed

    • Fixed error when using the orjson engine with non-string keys #3351

  • v5.2.1 Changes

    August 13, 2021

    ⚡️ Updated

    • ⚡️ Updated Plotly.js to from version 2.2.0 to version 2.3.1. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • new projections in geo subplots from a more recent version of d3-geo
      • new number-formatting directives from a more recent version of d3-format
      • Improve rendering of scattergl, splom and parcoords by implementing plotGlPixelRatio for those traces
      • performance improvements and bug fixes

    ➕ Added

    • Extra flags were added to the gapminder and stocks dataset to facilitate testing, documentation and demos #3305
    • All line-like Plotly Express functions now accept markers argument to display markers, and all but line_mapbox accept symbol to map a field to the symbol attribute, similar to scatter-like functions #3326
    • px.scatter and px.density_contours now support new trendline types 'rolling', 'expanding' and 'ewm' #2997
    • px.scatter and px.density_contours now support new trendline_options argument to parameterize trendlines, with support for constant control and log-scaling in 'ols' and specification of the fraction used for 'lowess', as well as pass-through to Pandas for 'rolling', 'expanding' and 'ewm' #2997
    • px.scatter and px.density_contours now support new trendline_scope argument that accepts the value 'overall' to request a single trendline for all traces, including across facets and animation frames #2997
    • A new px.ecdf() function for Empirical Cumulative Distribution Functions #3330

    🛠 Fixed

    • Fixed regression introduced in version 5.0.0 where pandas/numpy arrays with dtype of Object were being converted to list values when added to a Figure (#3292, #3293)
    • Better detection of Chrome and Chromium browsers in the Renderers framework, especially on Linux (#3278) with thanks to @c-chaitanya for the contribution

  • v5.1.0 Changes

    June 28, 2021
    • ⚡️ Updated Plotly.js to from version 2.1.0 to version 2.2.0. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • new <trace>.legendgrouptitle attribute for legend group titles
      • new %h text formatting directive for half-years
      • performance improvements and bug fixes

  • v5.0.0 Changes

    June 21, 2021

    ⚡️ Updated/Changed

    ⬆️ Items in this section may be considered backwards-incompatible changes for the purposes of Semantic Versioning but we expect the vast majority of users to be able to upgrade to version 5.0 without encountering any issues.

    • ⬇️ Dropped support for Python older than 3.6 #3160
    • ⚡️ Updated Plotly.js to from version 1.58.4 to version 2.1.0. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • dropped support for IE9 and IE10
      • dropped support for long-deprecated graph_objects like area traces and scatter.(t|r) and layout.(radial|angular)axis attributes
      • modebar no longer has hovermode or spikeline buttons by default (can be added back with fig.update_layout(modebar_add=["v1hovermode", "toggleSpikeLines"]))
      • "Aa" text no longer appears on legend items unless mode="text"
      • In bar traces, textposition now defaults to "auto"
      • Font size for legend and colorbar titles now matches axis title font size (slightly bigger)
      • deprecated heatmapgl, pointcloud traces as well as all transform attributes
    • 📦 Combined plotlywidget into jupyterlab-plotly and packaged them as a federated extension #3142 with massive thanks to @fcollonval for the contribution
      • In addition to this change, large Plotly.js bundles are now lazily loaded on-demand by JupyterLab
    • 0️⃣ Plotly.js CDN url will now be versioned by default for HTML exports using include_plotlyjs='cdn' and for "connected" renderers. #2961 with thanks to @adehad for the contribution
    • 0️⃣ Recommending Kaleido by default over Orca #3094
    • Replaced retrying dependency with tenacity #2911 with thanks to @jmsmdy for the contribution
    • Plotly Express now always takes into account every value in category_orders when computing discrete mappings (color, symbol, line-dash, pattern-shapes) as well as facets, even those values which are absent in the data #3247

    ➕ Added

    🛠 Fixed

    • 🛠 Pandas and Numpy datetime serialization fixes #3022
    • 🛠 Fixed selected points of histograms in FigureWidget #2771 with thanks to @meffmadd for the contribution
    • Static image export now honors layout.(width|height)#3240
    • Improvements to "matplotlylib" conversion utility in plotly.tools.mpl_to_plotly() with thanks to @fdion #3143

  • v4.14.3 Changes

    January 12, 2021

    🛠 Fixed

    • px.timeline() now allows hover_data formatting of start and end times 3018
    • Small change to packaging of plotlywidget extension for JupyterLab 3 3021

  • v4.14.2 Changes

    January 11, 2021

    ⚡️ Updated

    • JupyterLab extensions now compatible with JupyterLab 3.x 3016
    • ⚡️ Updated Plotly.js to version 1.58.4. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • fixes for rendering 3d plots on recent Safari versions
      • fixes to inside ticklabels
      • regression fixes

    🛠 Fixed

    • px.histogram() Y-axis labels now take into account histnorm and barnorm 2989
    • px.histogram() marginal and facet_* now work correctly together 3014

  • v4.14.1 Changes

    December 09, 2020

    👀 See the full announcement at https://community.plotly.com/t/announcing-plotly-py-4-14-faceted-and-animated-images-and-heatmaps-inside-tick-labels-better-axis-type-detection/48079

    ⚡️ Updated

    • ⚡️ Updated Plotly.js to version 1.58.2. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • fixes for new ticklabelposition attribute
      • fixes for a regression related to treemaps in the previous version

  • v4.14.0 Changes

    December 07, 2020

    👀 See the full announcement at https://community.plotly.com/t/announcing-plotly-py-4-14-faceted-and-animated-images-and-heatmaps-inside-tick-labels-better-axis-type-detection/48079

    ➕ Added

    • px.imshow now supports facet_col and animation_frame arguments for visualizing 3-d and 4-d images 2746
    • px.defaults now supports color_discrete_map, symbol_map, line_dash_map, labels and category_orders as well as a .reset() method 2957

    🛠 Fixed

    • 0️⃣ axes will now auto-type numeric strings as categorical data rather than linear in the default templates 2951

    ⚡️ Updated

    • ⚡️ Updated Plotly.js to version 1.58.1. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module. Notable changes include:
      • a new ticklabelposition attribute to enable positioning tick labels inside the plotting area
      • better support for scaleanchor and matches on cartesian axes for matched square subplots
      • a new autotypenumbers attribute which is now set to strict in the default templates
      • various fixes relating to automargins for small figures