palantiri.ClusteringPlotHandlers module

class palantiri.ClusteringPlotHandlers.ClusteringPlotHandler(dataset, trained_cluster, **params)

Bases: palantiri.BasePlotHandlers.PlotHandler

Handles all the plots related of the chosen cluster.

build_prediction_figure(figure_layout)

Building the classifier prediction figure.

:param figure_layout: figure layout - plot.ly Layout object.

dataset()

The dataset

:return: The dataset as a dictionary

classmethod from_pandas_dataframe(dataframe, trained_cluster, **params)

Constructing the handler from a pandas dataframe.

:param dataframe: the dataframe form which the handler is constructed.

:param trained_cluster: sklearn cluster (trained / fitted).

:param params: other params.

:return: returns the classifier plot handler object.

plot_prediction(figure_layout=None)

Plotting the prediction figure with plot.ly’s iplot function.

:param figure_layout: figure layout - plot.ly Layout object.

save_prediction_figure(file_name)

Saving the prediction figure as an html file.

:param file_name: the html file name.

trained_cluster()

The trained cluster.

:return: The cluster in the sklearn format.

class palantiri.ClusteringPlotHandlers.ThreeDimensionalClusteringPlotHandler(dataset, trained_cluster, **params)

Bases: palantiri.ClusteringPlotHandlers.ClusteringPlotHandler

Handles all the plots related of the chosen cluster on 3D.

build_prediction_figure(figure_layout=Layout())

Plotting the cluster prediction and saving the figure.

:param figure_layout: figure layout - plot.ly Layout object.

class palantiri.ClusteringPlotHandlers.TwoDimensionalClusteringPlotHandler(dataset, trained_cluster, **params)

Bases: palantiri.ClusteringPlotHandlers.ClusteringPlotHandler

Handles all the plots related of the chosen cluster on 2D.

build_prediction_figure(figure_layout=Layout(), step_size=0.01)

Building the classifier prediction figure.

:param figure_layout: figure layout - plot.ly Layout object.

:param step_size: Plot resolution.