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At a high-level, the data point and series .from_array() methods should support NumPy ndarray objects as inputs. The fundamental priority is to use NumPy's vectorization to provide a performance boost to Highcharts for Python's handling of data points.
To do:
Add .from_ndarray() class method to DataBase.
Modify .from_array() class methods to call .from_ndarray() when the value passed is (or can easily be represented as) a NumPy ndarray.
Implement DataPointCollection class, representing a vectorized array of data point values.
Implement data point-type specific sub-classes of DataPointCollection.
Modify series .data properties to support DataPointCollection instances.
Add support for propagating attributes on get and set at the series level.
Add support for propagating attributes on get and set at the data collection level.
The text was updated successfully, but these errors were encountered:
At a high-level, the data point and series
.from_array()
methods should support NumPyndarray
objects as inputs. The fundamental priority is to use NumPy's vectorization to provide a performance boost to Highcharts for Python's handling of data points.To do:
.from_ndarray()
class method toDataBase
..from_array()
class methods to call.from_ndarray()
when the value passed is (or can easily be represented as) a NumPyndarray
.DataPointCollection
class, representing a vectorized array of data point values.DataPointCollection
..data
properties to supportDataPointCollection
instances.The text was updated successfully, but these errors were encountered: