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

Changelog History
Page 7

  • v3.5.0 Changes

    January 04, 2019

    ⚡️ Updated

    🔄 Changed

    • Plotly.js 1.43 converted title properties (e.g. layout.title) from strings into compound objects that contain the text as the text property along with new title placement attributes x, y, xref, yref, xanchor, yanchor and pad. Plotly.py 3.5.0 follows the new schema, but still supports specifying title as a string, in which case the string is assigned to the title.text property (#1302)
    • Plotly.js 1.43 also moved existing title* properties (e.g. layout.titlefont) under the title object (e.g. layout.title.font). Plotly.py 3.5.0 follows the new schema, but still supports the legacy title* properties by mapping them to the corresponding title.* property (#1302)
    • The update method on graph_objs now returns the updated object in order to support chaining multiple update operations together (#1379)
    • The show_link option has been set to False by default in the offline plot and iplot functions. Now that the "send data to cloud" button has been disabled by default in plotly.js 1.43.0, no buttons/links will be displayed by default that result in data being sent off of the local machine (#1304)
    • config options that are not known by plotly.py result in a warning but are still passed along to plotly.js. Prior to this change these unknown options were dropped silently (#1290)
    • Built-in themes now specify colorscales using the new global layout.colorscale properties. Previously the colorscales were defined for each trace type individually. This reduces the size of the resulting theme files (#1303)
    • Increased the maximum retry time of the orca integration from 8s to 30s (#1297)

    🛠 Fixed

    • Fixed FigureWidget performance regression that, when working with large datasets, resulted in a slight freeze of the widget after user interactions (pan, zoom, etc) (1305)
    • Fix orca error when the ELECTRON_RUN_AS_NODE environment variable is set (#1293)
    • The 'responsive' config key was being silently blocked (#1290)
    • Fixed error when using unicode characters in string properties on Python 2 (#1289)
    • Removed invalid calls to non-existent validate and strip_style Figure methods in matplotlylib conversion logic (#1128)

  • v3.4.2 Changes

    November 23, 2018

    🛠 Fixed

    • config options are now supported when using plotly.offline.iplot to display a figure in JupyterLab. Requires version 0.18.1 of the @jupyterlab/plotly-extension extension. (#1281, jupyterlab/jupyter-renderers#168)
    • Custom plotly_domain values are now supported in FigureWidget in both the classic notebook and JupyterLab (#1284)

  • v3.4.1 Changes

    November 09, 2018

    ⚡️ Updated

    🛠 Fixed

    • Fixed histogram binning with pandas Series or numpy array (regression introduced in 3.4.0) (#1257, plotly/plotly.js#3211)
    • Fixed incorrect validation error on the args property of layout.updatemenu.Button() when value is a list that starts with a list (#1265)
    • Fixed deadlock causing plotly.io.write_image to hang on Windows after exporting more than ~25 images (#1255)
    • Fixed plot display error for scattergl trace with mode='lines' and more than 100k points (#1271)
    • Fixed responsive resizing error with iplot in the classic notebook (#1263)

  • v3.4.0 Changes

    November 02, 2018

    ⚡️ Updated

    • Updated Plotly.js to version 1.42.2. Select highlights included below, see the plotly.js CHANGELOG for more information.

    ➕ Added

    • Default figure properties may now be customized using figure templates (themes) and 7 new predefined templates are bundled with plotly.py (#1224)
    • Added Parallel Categories (parcats) trace type for the visualization of multi-dimensional categorical datasets (plotly/plotly.js#2963)
    • Added LaTeX typesetting support for figures displayed in the Jupyter Notebook using plotly.offline.iplot and plotly.graph_objs.FigureWidget. Note: There are still outstanding issues with MathJax rendering in FireFox, but it is now working well in Chrome. (#1243)
    • Added include_mathjax argument to plotly.offline.plot to support the creation of HTML files with LaTeX typesetting (#1243)
    • Added new plotly.offline.get_plotlyjs function that returns the contents of the bundled plotly.js library as a string (#637, #1246)
    • Added new plotly.offline.get_plotlyjs_version function that returns the version of the bundled plotly.js library (#1246)
    • HTML div strings returned by plotly.offline.plot now contain logic to automatically resize the figure responsively. This logic was previously only added for html files. (#1043, #1234)
    • Figures displayed using plotly.offline.iplot in the classic Jupyter Notebook will now resize responsively (#1234)
    • Added 'cdn', 'directory', and path string include_plotlyjs options in plotly.offline.plot (#1234)
      • When 'cdn', the resulting html file/div includes a script tag reference to the plotlyjs cdn.
      • When 'directory', the resulting html file/div includes a script tag reference to a plotly.min.js bundle in the same directory as the html file. If output_type is 'file' then this plotly.min.js bundle is created in the output directory if it doesn't already exist.
      • When a string ending with '.js', the resulting html file/div includes a script tag that references this exact path. This can be used to point to a plotly.js bundle from an alternative CDN.
    • Added a new color_threshold argument to the create_dendrogram figure factory to control the dendrogram clustering cutoff (#995, #1075, #1214)
    • Added support for autorange='reversed' in 3D axes (#803, plotly/plotly.js#3141)
    • Added new gl3d tick and title auto-rotation algorithm that limits text overlaps (plotly/plotly.js#3084, plotly/plotly.js#3131)
    • Added modebar layout style attributes: orientation, bgcolor, color and activecolor (plotly/plotly.js#3068, plotly/plotly.js#3091)
    • Added title, titleposition and titlefont attributes to pie traces (plotly/plotly.js#2987)
    • Added hoverlabel.split attribute to ohlc and candlestick traces to split hover labels into multiple pieces (plotly/plotly.js#2959)
    • Added support for line.shape values 'hv', 'vh', 'hvh' and 'vhv' in scattergl traces (plotly/plotly.js#3087)
    • Added trace, node and link hoverinfo for sankey traces (#3096, #3150)
    • Added per-sector textfont settings in pie traces (#3130)

    🔄 Changed

    🛠 Fixed

    • Plotly's use of MathJax for LaTeX typesetting no longer interferes with the Jupyter Notebook's use of MathJax (#445, #360)
    • Fixed several issues with the use of reversescale=True in the create_annotated_heatmap figure factory (#1251)
    • Fixed case where plotly.offline.iplot would fail to render in the classic Jupyter Notebook if the notebook contained a Markdown headline with the text "Plotly" (#816)
    • None values in a scatter.hovertext list are now omitted from the hover label rather than being displayed as the string "None" (#1244)
    • Subplot titles created by plotly.tools.make_subplots are now positioned properly when custom row_width/column_width arguments are specified (#1229)
    • The bar.width property may now be specified as a numpy array or a pandas series (#1231, plotly/plotly.js#3169)
    • Error bars are now scaled correctly for logarithmic scatter3d traces (#1139)
    • Use uuid.uuid4 rather than uuid.uuid1 to work around an upstream Python bug (#1235, #1236)
    • The layout.grid.subplots property may now be specified as a 2D list of subplot identifiers (#1220, #1240)
    • Fixed scatter3d text alignment (#1055, plotly/plotly.js#3180)

    JupyterLab Versions

    📦 For use with JupyterLab, the following versions of the following packages must be installed:

  • v3.3.0 Changes

    September 28, 2018

    ⚡️ Updated

    • Updated Plotly.js to version 1.41.3. Select highlights included below, see the plotly.js CHANGELOG for more information.
    • Do not create or check permissions on the ~/.plotly configuration directory until a configuration write operation is performed (#1195). This change avoids some concurrency problems associated with running many instances of plotly.py simultaneously (#1068).

    ➕ Added

    • Enable selection by clicking on points via new layout attribute clickmode and flag 'select' (#2944)
    • Added stacked area charts via new attributes stackgroup and stackgaps in scatter traces (#2960)
    • Added barpolar trace type - which replace and augment area traces (#2954)
    • Added polar.hole layout parameter to punch hole at the middle of polar subplot offsetting the start of the radial range (#2977, #2996)
    • Figures may now be easily converted to and from JSON using the new to_json, from_json, read_json, and write_json functions in the plotly.io package (#1188)
    • Figures and graph objects now support deepcopy and pickle operations (#1191)
    • The location of the "~/.plotly" settings directory may now be customized using the PLOTLY_DIR environment variable (#1195)
    • Added optional scaleratio argument to the create_quiver figure factory. When specified, the axes are restricted to this ratio and the quiver arrows are computed to have consistent lengths across angles. (#1197)

    🛠 Fixed

    • Replace use of pkg_resources.resource_string with pkgutil.get_data to improve compatibility with cx_Freeze (#1201)
    • An exception is no longer raised when an optional dependency raises an exception on import. The exception is logged and plotly.py continues as if the dependency were not installed (#1192)
    • Fixed invalid dendrogram axis labels when the points being clustered contain duplicate values (#1186)
    • Added missing LICENSE.txt file to PyPI source distribution (#765)

    JupyterLab Versions

    📦 For use with JupyterLab, the following versions of the following packages must be installed:

  • v3.2.1 Changes

    September 14, 2018

    🚀 This is a patch release that fixes a few bugs and reintroduces a few 🔖 version 2 features that were not supported in version 3.

    The bundled version of plotly.js remains at 1.40.1

    JupyterLab Versions

    📦 For use with JupyterLab, the following versions of the following packages must be installed:

    ➕ Added

    • An optional skip_invalid argument has been added to the Figure and FigureWidget constructors. By default, skip_invalid is False and invalid figure properties will result in an exception (this is identical to the previous behavior). When skip_invalid is set to True, invalid properties will instead be silently ignored. This argument replaces the _raise argument that was available in version 2, and makes it possible to import figure definitions from different plotly versions, where incompatible properties are ignored rather than causing an exception.
    • A to_ordered_dict method has been added to the Figure and FigureWidget classes. This method returns a representation of the figure as a nested structure of OrdererdDict and list instances where the keys in each OrderedDict are sorted alphabetically. This method replaces the get_ordered method that was available in version 2, and makes it possible to traverse the nested structure of a figure in a deterministic order.

    🛠 Fixed

  • v3.2.0 Changes

    September 05, 2018

    🚀 This release introduces the long-anticipated ability to programmatically export figures as high quality static images in both raster and vector formats.

    JupyterLab Versions (Python 3.5+)

    📦 For use with JupyterLab, the following versions of the following packages must be installed:

    ➕ Added

    • plotly.js version 1.40.1, which introduces the following features:
    • Support for offline static image export with the to_image and write_image functions in the new plotly.io package (#1120).
      • Note: Image export requires the plotly orca command line utility and the psutil Python package.
    • New documentation sections covering Static Image Export and Orca Management
    • Support for displaying FigureWidget instances in static contexts (e.g. nbviewer) just like the built-in ipywidgets (#1117)
    • Full integration of the Cividis colorscale (#883)
    • conda packaging
      • From here forward, new versions of plotly.py will be published to the plotly anaconda channel on the same day they are published to PyPI. (72ad0e4)
      • The [README](packages/python/plotly-geo/README.md) now includes conda installation instructions alongside the pip instructions.
      • In addition to the existing installation approaches, orca is now also available as a conda package from the plotly anaconda channel.

    ⚡️ Updated

    • Show traces at the top of the Gantt chart's colorbar (#1110)
    • Significantly improved validation performance for numeric pandas Series objects (#1149)
    • Specialize auto-generated docstrings for Python syntax
    • More robust and specific logic for retrying requests to the plot.ly cloud service (#1146)
    • Support basic authentication when using the streaming API behind a proxy server (#1133)

    🛠 Fixed

    • Validators for dash properties (e.g. scatter.line.dash) incorrectly rejected dash length lists (#1136)
    • Annotated heatmap error when custom colorscale was specified (#1151)
    • Incorrect deprecation warning for deprecated plotly.graph_objs.Annotations class (#1138)
    • Harmless JavaScript console error when opening an html file produced by plotly.offline.plot (#1152)
    • Incorrect validation errors when writing data to the streaming API (#1145)

  • v3.1.1 Changes

    August 10, 2018

    🚀 This release is a minor bug-fix update to version 3.1.0

    JupyterLab Versions

    📦 For use with JupyterLab, the following versions of the following packages must be installed:

    ⚡️ Updated

    • Updated plotly.js to version 1.39.4.

    🛠 Fixed

  • v3.1.0 Changes

    July 20, 2018

    JupyterLab Versions

    📦 For use with JupyterLab, the following versions of the following packages 👀 must be installed. See [README.md](packages/python/plotly-geo/README.md) for instructions.

    ⚡️ Updated

    ➕ Added

    • Added 3D streamtube traces plotly/plotly.js#2658
    • Added support for on-graph text in scattergl traces
    • Added gridshape attribute to polar subplots with values 'circular' (the default) and 'linear' (to draw polygon grids) plotly/plotly.js#2739

  • v3.0.2 Changes

    July 17, 2018

    🚀 This is a minor bug-fix release to 3.0.0