17e4b25a
 Pavel Govyadinov
Bug fixes, Dual v...
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 3 13:47:39 2020
@author: pavel
"""
from PyQt5 import QtCore, QtGui, QtWidgets
import network_dep as nwt
import vispy.plot as vp
#import vispy.scene.visuals. as Histogram
from vispy.scene.visuals import Histogram as Histogram
import numpy as np
DEBUG = False
class HistogramWidget(QtWidgets.QWidget):
def __init__(self):
super(HistogramWidget, self).__init__()
box = QtWidgets.QVBoxLayout(self)
self.resize(500,500)
self.setLayout(box)
self.canvas = vp.Fig(show=False)
self.hist = self.canvas[0, 0].histogram(np.random.rand(100))
#data = np.random.rand(100)
#self.canvas[0, 0].histogram(data)
#self.canvas = Histogram()
self.setUpdatesEnabled(True)
box.addWidget(self.canvas.native)
self.G = None
self.canvas.events.mouse_press.connect(self.on_mouse_press)
#self.canvas.events.mouse_release.connect(self.on_mouse_release)
#self.canvas.events.mouse_move.connect(self.on_mouse_move)
#self.canvas.events.mouse_double_click.connect(self.on_mouse_double_click)
self.current_color = 'clusters'
def on_mouse_press(self, event):
print("mouse_press")
if event.button == 2:
menu = QtWidgets.QMenu(self)
tmp = menu.addMenu('Histogram Metric')
edge_properties = self.G.edge_properties.keys()
edge_actions = []
for i in range(len(edge_properties)):
if(edge_properties[i] != "map" or edge_properties[i] != "RGBA"):
edge_actions.append(tmp.addAction(edge_properties[i]))
action = menu.exec_(event.native.globalPos())
for i in range(len(edge_actions)):
if action == edge_actions[i]:
self.set_data(prop=edge_properties[i])
print("mouse_press")
def on_mouse_double_click(self, event):
print("mouse_double")
def on_mouse_release(self, event):
print("mouse_release")
def on_mouse_move(self, event):
print("mouse_move")
def set_Graph(self, G):
self.G = G
#self.canvas[0, 0].histogram(np.random.rand(10))
self.set_data()
def gen_mesh(self, data, bins=10, orientation='h'):
data = np.asarray(data)
if data.ndim != 1:
raise ValueError('Only 1D data currently supported')
X, Y = (0, 1) if orientation == 'h' else (1, 0)
# do the histogramming
data, bin_edges = np.histogram(data, bins)
# construct our vertices
rr = np.zeros((3 * len(bin_edges) - 2, 3), np.float32)
rr[:, X] = np.repeat(bin_edges, 3)[1:-1]
rr[1::3, Y] = data
rr[2::3, Y] = data
bin_edges.astype(np.float32)
# and now our tris
tris = np.zeros((2 * len(bin_edges) - 2, 3), np.uint32)
offsets = 3 * np.arange(len(bin_edges) - 1,
dtype=np.uint32)[:, np.newaxis]
tri_1 = np.array([0, 2, 1])
tri_2 = np.array([2, 0, 3])
tris[::2] = tri_1 + offsets
tris[1::2] = tri_2 + offsets
return rr, tris
def set_data(self, prop = 'length'):
#self.canvas = vp.Fig(show=False)
#, xlabel=prop, ylabel='#'
#self.canvas.clear()
#self.canvas[0, 0]._configured = False
p = self.G.ep[prop].get_array().T
self.canvas.bgcolor = 'w'
rr, tris = self.gen_mesh(p)
self.hist.set_data(rr, tris, color = 'b')
#self.canvas.context.clear(color='w', depth=True)
#self.canvas.central_widget().context.clear(color='w', depth=True)
self.canvas[0, 0].xlabel.text = prop
self.canvas[0, 0].ylabel.text = '# of occurances'
self.canvas[0, 0].title.text = 'edge property distribution'
for hist, pwidget in zip([self.hist], self.canvas.plot_widgets):
#x_data = hist._line.pos[:, 0]
#y_data = hist._line.pos[:, 1]
#print(hist._bounds, hist._bounds[:, 0], hist._bounds[:, 1])
x_range = hist._bounds[0][0], hist._bounds[0][1]
y_range = hist._bounds[1][0], hist._bounds[1][1]
pwidget.view.camera.set_range(x=x_range, y=y_range)
#self.canvas[0, 0]._configured = False
#self.canvas[0, 0].histogram(p, color = 'b')
self.canvas.update()
self.canvas.show()
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