![]() * `px.choropleth` now accepts a user-supplied `geojson` attribute * `px.sunburst` and `px.treemap` now accept a `path` argument for passingĬolumns of a rectangular dataframe to build the charts * Built-in cyclical color scales now all have identical start and end points * `px.scatter` trendline coefficients are now more readable * `go.Scattergl` symbols now accept numeric specification * Plotly Express `category_orders` are now respected independent of the contents of the data set * The `jupyterlab-plotly` and `plotlywidget` JupyterLab extensions should now share code when installed together, resulting in smaller JupyterLab vendor bundle sizes * The `simple_white` colorbar styling has been streamlined * The heuristic used by `px.parallel_categories` to determine which columns of the data frame to draw has been changed and made more configurable with the `dimensions_max_cardinality` argument * Plotly Express uses the new `legend.title` attribute and so now has shorter trace `name`s ![]() + Fix build errors in JupyterLab extension by pinning version #2223 + JupyterLab extension now compatible with JupyterLab 2.0 #2245 + Removed development dependency on nose testing framework #2217 + Fixed python 3.8 syntax warning #2262, with thanks to for + Corrected import bug which was occuring with old versions of + Fixed a bug when using boolean values for the color argument of + Jupyterlab extension now compatible with both Jupyterlab 1.2 andĢ.0 #2261 with thanks to for the contribution! + New documentation examples for facets #2235, legend #2227, ![]() * Thu Arun Persaud - update to version 4.5.4: Px.density_mapbox, px.funnel #2317, with thanks to for + Fixed handling of opacity in px.pie, px.funnel_area, + px.imshow now accepts xarray inputs, with metadata being usedįor axis labels, hover and colorbar #2166 + Updated documentation examples #2325, and to show how to color + Updated contributing notes for more explanations on how toĬontribute to plotly.py #2290. + Add node.customdata and link.customdata to sankey traces Unified"), in which the hover box shows the information for all + Introduce a new unified x (or y) hovermode (layout.hovermode="x + Introduce range breaks on date axes (for example, to remove The main features of the Plotly.js release are See the plotly.js CHANGELOGįor more information on the numerous new features and bug fixes * Sat Arun Persaud - update to version 4.6.0: + When used with Python 3.7 and above, ploty.py now takesĪdvantage of PEP-562 to perform submodule imports lazily. + Property validation is now disabled for select internal Instead, theyĪre created lazily the first time the property is accessed. ) are no longerĬreated eagerly during graph object construction. + This version includes several performance improvements (#2368, + Plotly Express trendlines now handle missing data correctly Plotly.js, which makes for faster QA and development cycles + It's now possible to build a development version of Plotly.pyĪgainst the build artifacts from a non-master branch of Some arguments or to change the formatting of hover informatiom This makes it possible to skip hover information for + The hover_data parameter of px functions can now be aĭictionary. + The sphinx-gallery scraper has been updated to work with Plotly.js is the possibility to draw layout shapes, using customĭragmodes and corresponding modebar buttons. See the plotly.js CHANGELOGįor more information. + Fix TypeError: unhashable type: 'Template' during FigureĬonstruction when plotly.io.fault is set to a aph_objs.FigureWidget when ipywidgets is not installed,Īnd an informative ImportError exception will be raised in the 'FigureWidget' exception on from aph_objs import * when + Fix AttributeError: module 'aph_objs' has no attribute * Sat Arun Persaud - update to version 4.7.1: ![]()
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