Source code for tvb.adapters.visualizers.pearson_edge_bundle

# -*- coding: utf-8 -*-
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import json
import numpy
from tvb.adapters.visualizers.pearson_cross_correlation import PearsonCorrelationCoefficientVisualizerForm, \
from tvb.adapters.visualizers.time_series import ABCSpaceDisplayer
from tvb.core.adapters.abcdisplayer import URLGenerator
from tvb.core.neocom import h5
from tvb.core.utils import TVBJSONEncoder
from tvb.datatypes.graph import CorrelationCoefficients

[docs] class PearsonEdgeBundle(ABCSpaceDisplayer): """ Viewer for Pearson CorrelationCoefficients. Very similar to the CrossCorrelationVisualizer - this one done with Matplotlib """ _ui_name = "Pearson Edge Bundle" _ui_subsection = "correlation_pearson_edge"
[docs] def get_form_class(self): return PearsonCorrelationCoefficientVisualizerForm
[docs] def get_required_memory_size(self, view_model): # type: (PearsonCorrelationCoefficientVisualizerModel) -> numpy.ndarray """Return required memory.""" datatype_index = self.load_entity_by_gid(view_model.datatype) input_size = (datatype_index.data_length_1d, datatype_index.data_length_2d, datatype_index.data_length_3d, datatype_index.data_length_4d) return * 8.0
[docs] def launch(self, view_model): # type: (PearsonCorrelationCoefficientVisualizerModel) -> dict """Construct data for visualization and launch it.""" with h5.h5_file_for_gid(view_model.datatype) as datatype_h5: matrix_shape = datatype_h5.array_data.shape[0:2] ts_gid = datatype_h5.source.load() ts_index = self.load_entity_by_gid(ts_gid) state_list = ts_index.get_labels_for_dimension(1) mode_list = list(range(ts_index.data_length_4d)) with h5.h5_file_for_index(ts_index) as ts_h5: labels = self.get_space_labels(ts_h5) if not labels: labels = None pars = dict(matrix_labels=json.dumps(labels, cls=TVBJSONEncoder), matrix_shape=json.dumps(matrix_shape), viewer_title='Pearson Edge Bundle', url_base=URLGenerator.build_h5_url(view_model.datatype.hex, 'get_correlation_data', flatten="True", parameter=''), state_variable=0, mode=mode_list[0], state_list=state_list, mode_list=mode_list, pearson_min=CorrelationCoefficients.PEARSON_MIN, pearson_max=CorrelationCoefficients.PEARSON_MAX, thresh=0.5 ) return self.build_display_result("pearson_edge_bundle/view", pars)