pypi plotly 5.2.1
v5.2.1

latest releases: 5.22.0, 5.21.0, 5.20.0...
2 years ago

See the full release announcement here: https://community.plotly.com/t/announcing-plotly-py-5-2-1-trendlines-ecdf-plots-markers-on-lines-sharper-webgl-legend-group-titles/55681

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

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