The Virtual Brain Project

Source code for tvb.adapters.visualizers.histogram

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.. moduleauthor:: Lia Domide <>
.. moduleauthor:: Ionel Ortelecan <>
.. moduleauthor:: Bogdan Neacsa <>

import json
import numpy
from tvb.core.adapters.abcdisplayer import ABCDisplayer
from tvb.basic.filters.chain import FilterChain
from tvb.datatypes.graph import ConnectivityMeasure

[docs]class HistogramViewer(ABCDisplayer): """ The viewer takes as input a result DataType as computed by BCT analyzers. """ _ui_name = "Connectivity Measure Visualizer"
[docs] def get_input_tree(self): return [{'name': 'input_data', 'type': ConnectivityMeasure, 'label': 'Connectivity Measure', 'required': True, 'conditions': FilterChain(fields=[FilterChain.datatype + '._nr_dimensions'], operations=["=="], values=[1]), 'description': 'A BCT computed measure for a Connectivity'}]
[docs] def launch(self, input_data): """ Prepare input data for display. :param input_data: A BCT computed measure for a Connectivity :type input_data: `ConnectivityMeasure` """ params = self.prepare_parameters(input_data) return self.build_display_result("histogram/view", params, pages=dict(controlPage="histogram/controls"))
[docs] def get_required_memory_size(self, input_data, figure_size): """ Return the required memory to run this algorithm. """ return * 2
[docs] def generate_preview(self, input_data, figure_size): """ The preview for the burst page. """ params = self.prepare_parameters(input_data) return self.build_display_result("histogram/view", params)
[docs] def prepare_parameters(self, input_data): """ Prepare all required parameters for a launch. """ labels_list = input_data.connectivity.region_labels.tolist() values_list = input_data.array_data.tolist() # A gradient of colors will be used for each node colors_list = values_list params = dict(title="Connectivity Measure - " + input_data.title, labels=json.dumps(labels_list), data=json.dumps(values_list), colors=json.dumps(colors_list), xposition='center' if min(values_list) < 0 else 'bottom', minColor=min(colors_list), maxColor=max(colors_list)) return params