/
visualizer_SORN.py
366 lines (316 loc) · 18.5 KB
/
visualizer_SORN.py
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'''
Created on 13 feb. 2013
@author: Squirel
'''
import sys
from matplotlib import pylab as pb
from PyQt4 import QtCore, QtGui
import numpy as np
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
import matplotlib
#matplotlib.use('Qt4Agg')
import h5py
from visualizerGUI_SORN import Ui_Visualizer
#sys.path.append('/home/naze/MGS/graphs/SORN/2018mar03/muIP0_001/ratioIP1_0/etaSTDP0_001/muHIP0_02/ratioHIP0_5')
path = '/home/naze/MGS/graphs/SORN/2018mar24/'
base1dir = 'muIP0_0001/ratioIP1_0/etaSTDP0_001/'
base2dir = 'muHIP0_01/ratioHIP0_5/muHIPi0_02/ratioHIPi0_5/' #'ratioIP1_0/etaSTDP0_001/muHIP0_02/ratioHIP0_5/'
base3dir = 'E2X0_05/I2X0_1/' #'muHIPi0_04/E2X0_05/I2X0_1/'
base4dir = ''
feature_4D_matrix = 'entropy_array_map.mat'
out_row_label = "g"
out_col_label = "tauSTDP"
in_row_label = "muDelay"
in_col_label = "ratioDelay"
out_row_vals = pb.array([1.0])
#out_row_vals = out_row_vals[::-1] #reverse array to have down -> axes up rather than down if needed
out_col_vals = pb.array([0.9, 0.99])
in_row_vals = pb.array([1, 2, 3, 5])
in_col_vals = pb.array([0.5, 1.0])
class mainVisual(QtGui.QMainWindow):
def __init__(self):
QtGui.QWidget.__init__(self)
self.ui = Ui_Visualizer()
self.ui.setupUi(self)
self.ui.setLabelNames(out_row_label, out_col_label, in_row_label, in_col_label)
self.I1_idx = 0
self.I1_s = pb.array([0, 1.5, 2.6, 2.9, 3.0, 3.1, 3.2, 3.5, 4.0, 5.0])
self.I2_idx = 0
self.I2_s = pb.array([0, 0.5, 0.8, 0.9, 1.0, 1.5])
self.gx1x1_idx = 0
self.gx1x1_s = pb.array([0, 0.2, 0.4, 0.6])
self.gx2x2_idx = 0
self.gx2x2_s = pb.array([0, 0.2, 0.4, 0.6])
self.out_col_idx = 0
self.out_col_s = out_col_vals
self.in_row_idx = 0
self.in_row_s = in_row_vals
self.in_col_idx = 0
self.in_col_s = in_col_vals
self.out_row_idx = 0
self.out_row_s = out_row_vals
#self.x0_s=pb.array([-6, -5, -4, -3.5, -3, -2.5, -2, -1, 0]);
#value initialization
self.ui.doubleSpinBox_I2.setMaximum(self.I2_s.max())
self.ui.doubleSpinBox_I2.setMinimum(self.I2_s.min())
self.ui.doubleSpinBox_I2.setSingleStep(0.3)
self.ui.doubleSpinBox_I2.setValue(self.I2_s[self.I2_idx])
self.ui.doubleSpinBox_I2.setEnabled(False)
self.ui.doubleSpinBox_I1.setMaximum(self.I1_s.max())
self.ui.doubleSpinBox_I1.setMinimum(self.I1_s.min())
self.ui.doubleSpinBox_I1.setSingleStep(1.0)
self.ui.doubleSpinBox_I1.setValue(self.I1_s[self.I1_idx])
self.ui.doubleSpinBox_I1.setEnabled(False)
self.ui.doubleSpinBox_Ce.setMaximum(self.out_col_s.max())
self.ui.doubleSpinBox_Ce.setMinimum(self.out_col_s.min())
self.ui.doubleSpinBox_Ce.setSingleStep(0.01)
self.ui.doubleSpinBox_Ce.setValue(self.out_col_s[self.out_col_idx])
self.ui.doubleSpinBox_Ce.setEnabled(True)
self.ui.doubleSpinBox_Ce.setDecimals(6)
self.ui.doubleSpinBox_gx1x2.setMinimum(self.in_row_s.min())
self.ui.doubleSpinBox_gx1x2.setMaximum(self.in_row_s.max())
self.ui.doubleSpinBox_gx1x2.setSingleStep(0.1)
self.ui.doubleSpinBox_gx1x2.setValue(self.in_row_s[self.in_row_idx])
self.ui.doubleSpinBox_gx1x2.setEnabled(True)
self.ui.doubleSpinBox_gx1x2.setDecimals(6)
self.ui.doubleSpinBox_gx2x1.setMinimum(self.in_col_s.min())
self.ui.doubleSpinBox_gx2x1.setMaximum(self.in_col_s.max())
self.ui.doubleSpinBox_gx2x1.setSingleStep(0.1)
self.ui.doubleSpinBox_gx2x1.setValue(self.in_col_s[self.in_col_idx])
self.ui.doubleSpinBox_gx2x1.setEnabled(True)
self.ui.doubleSpinBox_gx2x1.setDecimals(6)
self.ui.doubleSpinBox_x0.setMaximum(self.out_row_s.max())
self.ui.doubleSpinBox_x0.setMinimum(self.out_row_s.min())
self.ui.doubleSpinBox_x0.setSingleStep(0.1)
self.ui.doubleSpinBox_x0.setValue(self.out_row_s[self.out_row_idx])
self.ui.doubleSpinBox_x0.setEnabled(True)
#enability
self.ui.doubleSpinBox_gx1x1.setEnabled(False)
self.ui.doubleSpinBox_gx2x2.setEnabled(False)
#events
QtCore.QObject.connect(self.ui.OkButton,
QtCore.SIGNAL("clicked()"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_I1,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_I2,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_gx1x1,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_gx2x2,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_gx1x2,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_gx2x1,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_Ce,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
QtCore.QObject.connect(self.ui.doubleSpinBox_x0,
QtCore.SIGNAL("valueChanged(double)"), self.updateFields)
# Graphics view for scatter plot
scatter_pic = QtGui.QPixmap("/home/naze/Pictures/Hatosia.jpg")
scatter_pic = scatter_pic.scaled(self.ui.graphicsView_scatter.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.scatter_scene = QtGui.QGraphicsScene()
self.scatter_scene.addPixmap(scatter_pic)
self.ui.graphicsView_scatter.setScene(self.scatter_scene)
self.ui.graphicsView_scatter.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_scatter.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_scatter.show()
# Graphics view for Time Series
ts_pic = QtGui.QPixmap("/home/naze/Pictures/fractal_eye.jpg")
ts_pic = ts_pic.scaled(self.ui.graphicsView_ts.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.ts_scene = QtGui.QGraphicsScene()
self.ts_scene.addPixmap(ts_pic)
self.ui.graphicsView_ts.setScene(self.ts_scene)
self.ui.graphicsView_ts.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_ts.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_ts.show()
# Graphics view for correlation coefficient
corr_pic = QtGui.QPixmap("/home/naze/Pictures/fractal_eye.jpg")
corr_pic = corr_pic.scaled(self.ui.graphicsView_corr.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.corr_scene = QtGui.QGraphicsScene()
self.corr_scene.addPixmap(corr_pic)
self.ui.graphicsView_corr.setScene(self.corr_scene)
self.ui.graphicsView_corr.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_corr.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_corr.show()
# Graphics view for spectrum
spect_pic = QtGui.QPixmap("/home/naze/Pictures/eye_visualizer.png")
spect_pic = spect_pic.scaled(self.ui.graphicsView_spect.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.spect_scene = QtGui.QGraphicsScene()
self.spect_scene.addPixmap(spect_pic)
self.ui.graphicsView_spect.setScene(self.spect_scene)
self.ui.graphicsView_spect.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_spect.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.ui.graphicsView_spect.show()
# Handle the parameter space map in a new window
self.mapWin = self.drawKOPmap()
self.mapWin.show()
self.mapWin.draw()
self.previous_ax = [] #list of (normally only 1 or zero) axes object, referring to the last point seen in param space
def updateFields(self):
"""update all fields from the canvas when a parameter is changed"""
self.I1_idx = self.adjustFieldValue(self.I1_idx, self.ui.doubleSpinBox_I1.value(), self.I1_s)
self.ui.doubleSpinBox_I1.setValue(self.I1_s[self.I1_idx])
self.I2_idx = self.adjustFieldValue(self.I2_idx, self.ui.doubleSpinBox_I2.value(), self.I2_s)
self.ui.doubleSpinBox_I2.setValue(self.I2_s[self.I2_idx])
self.gx1x1_idx = self.adjustFieldValue(self.gx1x1_idx, self.ui.doubleSpinBox_gx1x1.value(), self.gx1x1_s)
self.ui.doubleSpinBox_gx1x1.setValue(self.gx1x1_s[self.gx1x1_idx])
self.gx2x2_idx = self.adjustFieldValue(self.gx2x2_idx, self.ui.doubleSpinBox_gx2x2.value(), self.gx2x2_s)
self.ui.doubleSpinBox_gx1x1.setValue(self.gx2x2_s[self.gx2x2_idx])
self.out_col_idx = self.adjustFieldValue(self.out_col_idx, self.ui.doubleSpinBox_Ce.value(), self.out_col_s)
self.ui.doubleSpinBox_Ce.setValue(self.out_col_s[self.out_col_idx])
self.in_row_idx = self.adjustFieldValue(self.in_row_idx, self.ui.doubleSpinBox_gx1x2.value(), self.in_row_s)
self.ui.doubleSpinBox_gx1x2.setValue(self.in_row_s[self.in_row_idx])
self.in_col_idx = self.adjustFieldValue(self.in_col_idx, self.ui.doubleSpinBox_gx2x1.value(), self.in_col_s)
self.ui.doubleSpinBox_gx2x1.setValue(self.in_col_s[self.in_col_idx])
self.out_row_idx = self.adjustFieldValue(self.out_row_idx, self.ui.doubleSpinBox_x0.value(), self.out_row_s)
self.ui.doubleSpinBox_x0.setValue(self.out_row_s[self.out_row_idx])
#print I1, I2, gx1x1, gx2x2, Ce, gx1x2, gx2x1
self.drawPoint(self.in_row_idx, self.in_row_s, self.in_col_idx, self.in_col_s,
self.out_row_idx, self.out_row_s, self.out_col_idx, self.out_col_s)
# simpath = out_row_label + str(self.out_row_s[self.out_row_idx]).replace('.', '_') + '/' + \
# out_col_label + str(self.out_col_s[self.out_col_idx]).replace('.', '_') + '/' + \
# in_row_label + str(self.in_row_s[self.in_row_idx]).replace('.', '_') + '/' + \
# in_col_label + str(self.in_col_s[self.in_col_idx]).replace('.', '_') + '/' + '0/'
#simpath = base1dir + out_col_label + str('{:f}'.format(self.out_col_s[self.out_col_idx]).rstrip('0')).replace('.', '_') + '/' + \
simpath = base1dir + out_col_label + str(self.out_col_s[self.out_col_idx]).replace('.', '_') + '/' + \
base2dir + out_row_label + str(self.out_row_s[self.out_row_idx]).replace('.', '_') + '/' + \
base3dir + in_row_label + str(self.in_row_s[self.in_row_idx]).replace('.', '_') + '/' + \
base4dir + in_col_label + str(self.in_col_s[self.in_col_idx]).replace('.', '_') + '/' + '0/'
print path + simpath
# scatter
scatter_pic = QtGui.QPixmap(path + simpath + 'SORN_scatter_1800_2000s_zoom.png')
scatter_pic = scatter_pic.scaled(self.ui.graphicsView_scatter.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.scatter_scene.addPixmap(scatter_pic)
#self.ui.graphicsView_scatter.setScene()
self.ui.graphicsView_scatter.show()
# time series
ts_pic = QtGui.QPixmap(path + simpath + 'SORN_mean_ts_1800_2000s_zoom.png')
ts_pic = ts_pic.scaled(self.ui.graphicsView_ts.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.ts_scene.addPixmap(ts_pic)
self.ui.graphicsView_ts.show()
# Correlations
corr_pic = QtGui.QPixmap(path + simpath + 'SORN_corrCoeff_1800_2000s.png')
corr_pic = corr_pic.scaled(self.ui.graphicsView_corr.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.corr_scene.addPixmap(corr_pic)
self.ui.graphicsView_corr.show()
# Spectra
spect_pic = QtGui.QPixmap(path + simpath + 'SORN_spectrum_1800_2000s.png')
spect_pic = spect_pic.scaled(self.ui.graphicsView_spect.size(),
QtCore.Qt.IgnoreAspectRatio,
QtCore.Qt.SmoothTransformation)
self.spect_scene.addPixmap(spect_pic)
self.ui.graphicsView_spect.show()
def adjustFieldValue(self, index, new_val, all_val):
"""adjust the value of the parameter from the spinboxes to existing values in parameter space"""
if(new_val < all_val[index] and index > 0):
index -= 1
elif (new_val > all_val[index] and index < pb.size(all_val)):
index += 1
return index
def drawPoint(self, in_y_index, in_y_s, in_x_index, in_x_s, out_y_index, out_y_s, out_x_index, out_x_s):
"""this function plots a point in the current map to know where we are in the parameter space"""
# remove previous plotted point if there was one
if len(self.previous_ax)!=0:
del self.previous_ax[0].lines[:]
#remember the out_y axes nay have been reversed so:
#out_y_index = out_y_s.size-1 - out_y_index
#select the Axes object on which to plot the point
axs = self.mapWin.figure.get_axes()
ax = axs[out_y_index*out_x_s.size + out_x_index] #get the current ax from the 1D array
ax.hold(True)
ax.autoscale(enable=False) #avoid the plot to change the ticks and scale and all
ax.plot(in_x_s[in_x_index], in_y_s[in_y_index], 'ow', markersize=10, markeredgewidth=2)
#replace the previous axe to the new axe
if len(self.previous_ax)!=0:
self.previous_ax[0]=ax
else:
self.previous_ax.append(ax)
self.mapWin.figure.canvas.draw()
#self.mapWin.pause(0.001)
def drawKOPmap(self):
"""Draw the dialog window with the KOP map parameter space"""
f = h5py.File(path + feature_4D_matrix)
entropy = f['entropy']
entropy = np.array(entropy)
eshape = np.array(entropy.shape)
while (eshape.shape[0] < 4):
entropy = np.expand_dims(entropy, axis=-1)
eshape = np.array(entropy.shape)
entropy = entropy.reshape(out_row_vals.shape[0], out_col_vals.shape[0], in_row_vals.shape[0], in_col_vals.shape[0])
fig = self.drawFig(entropy.transpose())
mapWin = mapWindow()
mapWin.set_figure(fig)
return mapWin
def drawFig(self, img_grid):
# figure properties
fig = pb.figure(figsize = (10, 6))
row_length = len(out_row_vals)
col_length = len(out_col_vals)
gs = matplotlib.gridspec.GridSpec(row_length, col_length, wspace=.05, hspace=.05) # +1 for the colormap area
"""figure processing"""
img_grid_list = img_grid.tolist()
# get min and max to set up colormap scale, and loop all again to plot images
MIN = pb.array(img_grid).min()
MAX = pb.array(img_grid).max()
for out_row_index in range(len(out_row_vals)):
for out_col_index in range(len(out_col_vals)):
ax = fig.add_subplot(gs[row_length-1 - out_row_index, out_col_index])
ax.hold(True)
img_grid_list[out_row_index][out_col_index] = ax.contourf(img_grid[out_row_index][out_col_index],
levels=pb.linspace(MIN, MAX, 50),
extent=[in_col_vals.min(), in_col_vals.max(),
in_row_vals.min(), in_row_vals.max()],
vmin=MIN, vmax=MAX)
# set ticks and labels of axis (no number in legend for graphs not on borders):
# for the x axis:
xticks = in_col_vals
ax.set_xticks(xticks)
if (out_row_index > 0): #< row_length - 1):
ax.set_xticklabels([])
else:
ax.set_xlabel(
in_col_label + "\n\n" + out_col_label + "=" + str(out_col_vals[out_col_index])) # , fontsize='xx-large')
ax.set_xticklabels(map(str, xticks)) # , fontsize='xx-large') #in_col_val
# for the y axis:
yticks = in_row_vals # from in_row_val
ax.set_yticks(yticks)
if (out_col_index > 0):
ax.set_yticklabels([])
else:
ax.set_ylabel("|" + out_row_label + "|=" + str(out_row_vals[out_row_index]) + ' ' + in_row_label,
rotation='horizontal') # , fontsize='xx-large')
ax.set_yticklabels(map(str, yticks)) # , fontsize='xx-large') #in_row_val
# setup colorbar
ax = pb.axes([0.92, 0.1, 0.01, 0.8]) # guess [left, bottom, width, heigth]. in percents
cbar = pb.colorbar(img_grid_list[0][0], ax) # , ticks=ticksValues)
pb.ion()
return fig
class mapWindow(QtGui.QDialog, FigureCanvasQTAgg):
"""Small class that displays the parameter space map on a new window"""
def __init__(self, *args, **kwargs):
QtGui.QDialog.__init__(self, *args, **kwargs)
self.setObjectName("Map Visualizer")
self.resize(1000, 500)
self.setLocale(QtCore.QLocale(QtCore.QLocale.English, QtCore.QLocale.UnitedStates))
def set_figure(self, fig):
self.canvas = FigureCanvasQTAgg.__init__(self, fig)
if __name__ == "__main__":
app = QtGui.QApplication(sys.argv)
myapp = mainVisual()
myapp.show()
sys.exit(app.exec_())