Highcharts for Python crack

　　Aligned the API with Highcharts Core v11.1. In particular, this includes:

　　Added 'AccessibilityPoint.description_format' property.

　　Added support for '.legend_symbol' to plot options and series options.

　　Added '.border_radius' support to FunnelOptions and FunnelSeries.

　　Added '.interpolation' support to HeatmapOptions and descendents.

　　Added '.point_description_format' support to SeriesOptions and descendents.

　　Added '.fill_space' support to TreegraphOptions and descendents.

　　Added '.crossing' support to axes.

　　Added '.format' support to Tooltip.

　　Added support for the inclusion of scripts based on the features used in the chart.

　　Added dict support to '.style' property on labels and titles.

　　Added 'TiledWebMapOptions/TiledWebMapSeries' support.

　　Highcharts for PythonHighcharts for Python is a collection of Python libraries that gives you access to all the rich features of Highcharts Core (formerly Highcharts JS), Highcharts Stock, Highcharts Maps and Highcharts Gantt via a simple, Pythonic API. Produce spectacular charts in no time thanks to simple syntax, intuitive function names, and direct integration with data tools like Pandas and Jupyter Notebooks. Highcharts for Python integrates with the most popular components of the Python data science ecosystem. Every Highcharts visualization can be constructed from a Pandas or PySpark DataFrame with one method call, and then rendered in Jupyter Labs/Notebooks using another method call.