def calc_autocorrelation(self):
autocor = np.abs(np.fft.fftshift(np.fft.ifft2(
self.array))) / (len(self.array) * len(self.array))
if self.plot_graphs == True:
pq.show(autocor)
wait = input("AUTO_COR: PRESS ENTER TO FINISH..")
def dark_frame():
ccdop.params.setandapply("LIGHT", 0)
ccdop.params.setandapply("LED_ENABLE", 0)
ccdop.integration_time = 1.0
frame, en = ccdop.capture_frame_integrated_radiometry_manual(tb)
pg.show(frame, title="dark frame")
print(en)
with ccdop.backbias_context(-30.0):
frame = ccdop.capture_frame_simple()
return frame
def light_frame():
ccdop.params.setandapply("LED_ENABLE", 1)
ccdop.integration_time = 1.0
frame, en = ccdop.capture_frame_integrated_radiometry_manual(tb)
pg.show(frame, title="light frame")
print(en)
with ccdop.backbias_context(-60.0):
frame = ccdop.capture_frame_simple()
ccdop.params.setandapply("WIDEINT", 1)
return frame
def angular_profile_rayave(self,
ray_width=1,
ang_incr=1,
ray_ir=0,
ray_or=70):
'''
Returns the angular profile of pixel averages within rays.
Arguments:
ray_width = Width in pixels of the ray to be summed over (default=1)
ang_incr = Angular increment of ray iterative rotation (default=1)
ray_ir = Ray start position as pixels from center (default=0)
ray_or = Ray end position as pixels from center (default=70)
Returns:
2 x 360 / ang_incr array of angles and pixel averages
'''
self.calc_r_map()
self.array = self.array / self.r_map
self.log_array = np.log(self.array)
if self.plot_graphs == True:
pq.show(self.log_array)
#wait = input("THIS PRESS ENTER TO FINISH..")
x, y = np.indices(self.log_array.shape)
center = np.array([(x.max() - x.min()) / 2.0,
(x.max() - x.min()) / 2.0])
x = x - center[0]
y = y - center[1]
r = np.hypot(x, y)
px_angle = np.degrees(np.arctan2(y, x))
ray_hw = np.floor(ray_width / 2)
n_rays = 180 / ang_incr
r_s = center[0] - ray_ir # ray starting x index
r_f = center[0] - ray_or # ray finishing x index
ray_x = x[(center[0] - ray_hw):(center[0] + ray_hw + 1), r_f:r_s]
ray_y = y[(center[0] - ray_hw):(center[0] + ray_hw + 1), r_f:r_s]
ray_r = np.sqrt(ray_x**2 + ray_y**2)
ray_ang = np.arctan2(ray_y, ray_x)
output = np.zeros((2, n_rays))
for i in range(n_rays):
angle = np.pi * i * ang_incr / 180
ray_x_rt = np.round((ray_r) * np.cos(ray_ang + angle) + center[0])
ray_y_rt = np.round((ray_r) * np.sin(ray_ang + angle) + center[1])
ray_sum = np.sum(self.log_array[ray_x_rt.astype(int),
ray_y_rt.astype(int)])
output[0, i] = 180 * angle / np.pi
output[1, i] = ray_sum / len(ray_x)
self.ang_prof = output
#normalize
self.ang_prof[1] = (self.ang_prof[1] - self.ang_prof[1].min()) / (
self.ang_prof[1].max() - self.ang_prof[1].min())
def plotAttention(self):
self.attention = getAttention(self)
self.attention_im = pg.ImageItem(
self.attention[self.boolWindow.currentIndex]
) #this image item is updated with where the rodent is looking
self.attention_im.setCompositionMode(QPainter.CompositionMode_Plus)
self.boolWindow.imageview.addItem(self.attention_im)
self.attentionHeatMap = show(np.mean(self.attention, 0))
def show_sum_with_subtraction(filenames, filenames_to_subtract, factor=1.0):
total_sum = None
for filename in filenames:
print 'Summing file', filename
file_ = h5py.File(filename, 'r')
print 'Opened file:', filename
data = file_['/entry/data/data'][:]
file_.close()
print 'Summing', data.shape[0], "frames"
sum_ = data.sum(axis=0)
if total_sum is None:
total_sum = sum_
else:
total_sum += sum_
masked_total_sum = total_sum * mask
total_sum_to_subtract = None
for filename in filenames_to_subtract:
print 'Summing file for subtraction', filename
file_ = h5py.File(filename, 'r')
print 'Opened file:', filename
data = file_['/entry/data/data'][:]
file_.close()
print 'Summing', data.shape[0], "frames"
sum_to_s = data.sum(axis=0)
if total_sum_to_subtract is None:
total_sum_to_subtract = sum_to_s
else:
total_sum_to_subtract += sum_to_s
masked_total_sum_to_subtract = total_sum_to_subtract * mask
subtracted = masked_total_sum - (masked_total_sum_to_subtract * factor)
image_window = pyqtgraph.show(subtracted)
def show_sum(filenames):
total_sum = None
for filename in filenames:
print 'Summing file', filename
file_ = h5py.File(filename, 'r')
print 'Opened file:', filename
data = file_['/entry/data/data'][:]
file_.close()
print 'Summing', data.shape[0], "frames"
sum_ = data.sum(axis=0)
if total_sum is None:
total_sum = sum_
else:
total_sum += sum_
masked_total_sum = total_sum * mask
image_window = pyqtgraph.show(masked_total_sum)
import get_events as ge
import pyqtgraph as pq
import numpy as np
import sys
e=ge.Events(run=131)
frameslist = np.array([54, 159, 1120, 1227, 1228, 3868])
e.get_frameslist(frameslist, False)
n_frames = len(e.frames)
for i in range(0,n_frames):
pq.show(e.assemble_frame(e.frames[i]))
wait = input("PRESS ENTER TO CONTINUE..")
import initExample ## Add path to library (just for examples; you do not need this)
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
app = QtGui.QApplication([])
data = np.random.normal(size=1000)
pg.plot(data, title="Simplest possible plotting example")
data = np.random.normal(size=(500,500))
pg.show(data, title="Simplest possible image example")
## Start Qt event loop unless running in interactive mode or using pyside.
if __name__ == '__main__':
import sys
if sys.flags.interactive != 1 or not hasattr(QtCore, 'PYQT_VERSION'):
app.exec_()
import initExample ## Add path to library (just for examples; you do not need this)
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
app = QtGui.QApplication([])
data = np.random.normal(size=1000)
pg.plot(data, title="Simplest possible plotting example")
data = np.random.normal(size=(500, 500))
pg.show(data, title="Simplest possible image example")
## Start Qt event loop unless running in interactive mode or using pyside.
import sys
if sys.flags.interactive != 1 or not hasattr(QtCore, 'PYQT_VERSION'):
app.exec_()
dd = np.linalg.norm(h_pos_a[ii]-t_pos_a[ii], axis = 1)
plt.figure(70); plt.clf();
plt.plot(dd)
#show the movie
imgs = exp.load_img(t=range(t0,t1));
#imgs = exp.load_img(t=ii);
import pyqtgraph as pg
pg.show(np.transpose(imgs, [0,1,2]))
### pca on oriented head / tail data
center = data["center"].copy();
for i in range(ntimes):
if reverse[i]:
center[i] = center[i,::-1];
#wait = input("PRESS ENTER TO FINISH..")
#print "DONE"
if merge_data == True:
m.cummul_sum_det(0, assembled_frame)
#m.merge_RZ(rotated_image, 0, 0, True)
if verbose_mode == True:
print hits1[i].frame, hits1[i].roi_px_mean, hits1[
i].phi, '(', hits1[i].phi_peak_to_mean, hits1[
i].n_phi_vals, ') ', hits1[i].sym_res_ave
np.save(file_name, hits1)
print 'Total ', m.frame_count, ' frames merged'
if merge_data == True:
pq.show(m.cumm_sum / m.frame_count)
#pq.show(m.merged_data)
#m.merged_data[m.merged_data < 0] = 0
#print np.min(m.merged_data)
#pq.show(m.merged_data)
#p.figure()
#maxval = np.max(m.cumm_sum)
#thresh = 0.05 * 100 / 200
#if thresh < 0.05:
# thresh = 0.05
#m.cumm_sum[m.cumm_sum > 0.2 * maxval] = 0.2 * maxval
#m.cumm_sum[875,887] = thresh *maxval
#p.matshow(m.cumm_sum, cmap='gnuplot', vmin=0, origin="lower")
#p.show()
def plotAttention(self):
self.attention=getAttention(self)
self.attention_im=pg.ImageItem(self.attention[self.boolWindow.currentIndex]) #this image item is updated with where the rodent is looking
self.attention_im.setCompositionMode(QPainter.CompositionMode_Plus)
self.boolWindow.imageview.addItem(self.attention_im)
self.attentionHeatMap=show(np.mean(self.attention,0))
xh = np.arange(0, 10, 0.5)
yh = np.random.randint(0, 12, 20)
cu = pg.PlotCurveItem(xh, yh, pen=pg.mkPen('r'))
bg = pg.BarGraphItem(x0=xh, height=yh, width=0.5, brush='c', pen=None)
sp = pg.ScatterPlotItem(xh,
10 * np.random.random(20),
symbol='o',
brush=pg.mkBrush('c'))
#pl = pg.PlotWidget()
pl1 = win.addPlot(row=0, col=0)
pl1.addItem(cu)
pl3 = win.addPlot(row=0, col=1)
pl3.addItem(sp)
pl2 = win.addPlot(row=1, col=1)
pl2.addItem(bg)
pg.show()
matplotlibExport(object=win, title=None, show=True)
if arg == 'gl':
win = pg.GraphicsWindow()
gl = QtGui.QGridLayout()
# wid = QtGui.QWidget()
win.setLayout(gl)
xh = np.arange(0, 10, 0.5)
yh = np.random.randint(0, 12, 20)
cu = pg.PlotCurveItem(xh, yh, pen=pg.mkPen('r'))
bg = pg.BarGraphItem(x0=xh, height=yh, width=0.25, brush='c')
sp = pg.ScatterPlotItem(xh,
10 * np.random.random(20),
symbol='o',
brush=pg.mkBrush('c'))
if arg == 'win':
win = pg.GraphicsWindow()
gl = win.ci.layout # this is a QGraphicsGridLayout()
xh = np.arange(0, 10, 0.5)
yh = np.random.randint(0, 12, 20)
cu = pg.PlotCurveItem(xh, yh, pen=pg.mkPen('r'))
bg = pg.BarGraphItem(x0=xh, height=yh, width=0.5, brush='c', pen=None)
sp = pg.ScatterPlotItem(xh, 10*np.random.random(20), symbol='o', brush=pg.mkBrush('c'))
#pl = pg.PlotWidget()
pl1 = win.addPlot(row=0, col=0)
pl1.addItem(cu)
pl3 = win.addPlot(row=0, col=1)
pl3.addItem(sp)
pl2 = win.addPlot(row=1, col=1)
pl2.addItem(bg)
pg.show()
matplotlibExport(object=win, title=None, show=True)
if arg == 'gl':
win = pg.GraphicsWindow()
gl = QtGui.QGridLayout()
# wid = QtGui.QWidget()
win.setLayout(gl)
xh = np.arange(0, 10, 0.5)
yh = np.random.randint(0, 12, 20)
cu = pg.PlotCurveItem(xh, yh, pen=pg.mkPen('r'))
bg = pg.BarGraphItem(x0=xh, height=yh, width=0.25, brush='c')
sp = pg.ScatterPlotItem(xh, 10*np.random.random(20), symbol='o', brush=pg.mkBrush('c'))
pl = pg.PlotWidget()
gl.addWidget(pl, 0, 0)
pl.addItem(cu)
plt.axis('equal')
dd = np.linalg.norm(h_pos_a[ii] - t_pos_a[ii], axis=1)
plt.figure(70)
plt.clf()
plt.plot(dd)
#show the movie
imgs = exp.load_img(t=range(t0, t1))
#imgs = exp.load_img(t=ii);
import pyqtgraph as pg
pg.show(np.transpose(imgs, [0, 1, 2]))
### pca on oriented head / tail data
center = data["center"].copy()
for i in range(ntimes):
if reverse[i]:
center[i] = center[i, ::-1]
center_file = os.path.join(data_path, 'oriented_center.npy')
np.save(center_file, center)
#calculate new thetas etc
theta_file = os.path.join(data_path, 'oriented_theta.npy')
def setupUi(self, MainWindow):
# Exemple de liste d'actions
self.nomsActions = ["Entreprise 1", "Entreprise 2", "Entreprise 3"]
# Matrice de covariance
self.Sigma = np.array([[20, -13, 0], [-13, 25, 0], [0, 0, 23]])
self.Sigma = self.Sigma.astype('d')
# Retours sur l'investissement moyens
self.Mu = np.array([1.5, -0.2, 1.3])
self.Mu = self.Mu.astype('d')
# Nombre d'assets
self.nbActions = len(self.nomsActions)
# Nombre de périodes
self.nbPer = 400
# Prix initiaux
self.init = np.array([40, 40, 40])
# Risk-free rate
self.Rf = 0.5
# Coefficient multiplicatif reliant alpha et 1/lambda
uns = np.ones(self.nbActions)
self.coeff_de_prop = np.dot(
uns, np.dot(np.linalg.inv(self.Sigma), self.Mu)
) # Coefficient de proportionalité entre gamma et 1/alpha
MainWindow.setObjectName("Théorie du Portefeuille de Markovitz")
MainWindow.resize(1600, 950)
self.centralWidget = QtWidgets.QWidget(MainWindow)
self.centralWidget.setObjectName("centralWidget")
## Premier onglet:
self.tabWidget = QtWidgets.QTabWidget(self.centralWidget)
self.tabWidget.setGeometry(QtCore.QRect(0, 10, 1600, 900))
self.tabWidget.setObjectName("tabWidget")
self.tab = QtWidgets.QWidget()
self.tab.setObjectName("tab")
# On crée une VBox à gauche
self.VBoxGWidget = QtWidgets.QWidget(self.tab)
self.VBoxGWidget.setGeometry(QtCore.QRect(30, 10, 300, 600))
self.VBoxGWidget.setObjectName("VBoxGWidget")
self.VBoxG = QtWidgets.QVBoxLayout(self.VBoxGWidget)
self.VBoxG.setContentsMargins(11, 11, 11, 11)
self.VBoxG.setSpacing(3)
self.VBoxG.setObjectName("VBoxG")
# On lui ajoute un label qui servira à guider l'utilisateur
self.indic_label = QtWidgets.QLabel(self.VBoxGWidget)
self.indic_label.setMinimumSize(QtCore.QSize(300, 80))
self.indic_label.setMaximumSize(QtCore.QSize(300, 80))
self.indic_label.setObjectName("indic_label")
self.VBoxG.addWidget(self.indic_label)
# On ajoute les champs des actions à la VBox, un bouton "Valider" et un bouton "Retour"
self.addChamps(self.nbActions)
self.validerBouton = QtWidgets.QPushButton(self.tab)
self.validerBouton.setGeometry(QtCore.QRect(130, 600, 88, 34))
self.validerBouton.setObjectName("validerBouton")
self.validerBouton.raise_()
self.retourBouton = QtWidgets.QPushButton(self.tab)
self.retourBouton.setGeometry(QtCore.QRect(130, 600, 88, 34))
self.retourBouton.setObjectName("retourBouton")
self.retourBouton.raise_()
self.VBoxGWidget.raise_()
# On rajoute les n graphiques des actifs
self.horizontalLayoutWidget = QtWidgets.QWidget(self.tab)
self.horizontalLayoutWidget.setGeometry(QtCore.QRect(
600, 50, 800, 700))
self.horizontalLayoutWidget.setObjectName("horizontalLayoutWidget")
self.horizontalLayout = QtWidgets.QHBoxLayout(
self.horizontalLayoutWidget)
self.horizontalLayout.setContentsMargins(11, 11, 11, 11)
self.horizontalLayout.setSpacing(40)
self.horizontalLayout.setObjectName("horizontalLayout")
self.verticalLayout = QtWidgets.QVBoxLayout()
self.verticalLayout.setSpacing(6)
self.verticalLayout.setObjectName("verticalLayout")
self.add_N_Graphiques(self.nbActions)
# On rajoute le repère sur lequel on va représenter les courbes des n actifs
self.horizontalLayout.addLayout(self.verticalLayout)
self.graphicsView_n_graphiques = PlotWidget(
self.horizontalLayoutWidget)
self.graphicsView_n_graphiques.setObjectName(
"graphicsView_n_graphiques")
self.horizontalLayout.addWidget(self.graphicsView_n_graphiques)
# On fait de même avec le repère où l'on va tracer la frontière de Markovitz
self.graphicsView_frontiere = PlotWidget(self.horizontalLayoutWidget)
self.graphicsView_frontiere.setObjectName("graphicsView_frontiere")
self.horizontalLayout.addWidget(self.graphicsView_frontiere)
self.tabWidget.addTab(self.tab, "")
## Deuxième onglet
self.tab_2 = QtWidgets.QWidget()
self.tab_2.setObjectName("tab_2")
# On crée une VBox à gauche
self.VBoxGWidget_2 = QtWidgets.QWidget(self.tab_2)
self.VBoxGWidget_2.setGeometry(QtCore.QRect(30, 10, 300, 600))
self.VBoxGWidget_2.setObjectName("VBoxGWidget_2")
self.VBoxG_2 = QtWidgets.QVBoxLayout(self.VBoxGWidget_2)
self.VBoxG_2.setContentsMargins(11, 11, 11, 11)
self.VBoxG_2.setSpacing(3)
self.VBoxG_2.setObjectName("VBoxG_2")
# On lui ajoute un label qui servira à guider l'utilisateur
self.indic_label_2 = QtWidgets.QLabel(self.VBoxGWidget_2)
self.indic_label_2.setMinimumSize(QtCore.QSize(300, 80))
self.indic_label_2.setMaximumSize(QtCore.QSize(300, 80))
self.indic_label_2.setObjectName("indic_label_2")
self.VBoxG_2.addWidget(self.indic_label_2)
# On ajoute les champs des actions à la VBox, un bouton "Valider" et un bouton "Retour"
self.addChamps_2(self.nbActions)
self.validerBouton_2 = QtWidgets.QPushButton(self.tab_2)
self.validerBouton_2.setGeometry(QtCore.QRect(130, 600, 88, 34))
self.validerBouton_2.setObjectName("validerBouton_2")
self.validerBouton_2.raise_()
self.retourBouton_2 = QtWidgets.QPushButton(self.tab_2)
self.retourBouton_2.setGeometry(QtCore.QRect(130, 600, 88, 34))
self.retourBouton_2.setObjectName("retourBouton_2")
self.retourBouton_2.raise_()
self.VBoxGWidget_2.raise_()
# On rajoute les n graphiques des actifs
self.horizontalLayoutWidget_2 = QtWidgets.QWidget(self.tab_2)
self.horizontalLayoutWidget_2.setGeometry(
QtCore.QRect(400, 50, 821, 651))
self.horizontalLayoutWidget_2.setObjectName("horizontalLayoutWidget_2")
self.horizontalLayout_2 = QtWidgets.QHBoxLayout(
self.horizontalLayoutWidget_2)
self.horizontalLayout_2.setContentsMargins(11, 11, 11, 11)
self.horizontalLayout_2.setSpacing(6)
self.horizontalLayout_2.setObjectName("horizontalLayout_2")
self.verticalLayout_2 = QtWidgets.QVBoxLayout()
self.verticalLayout_2.setSpacing(6)
self.verticalLayout_2.setObjectName("verticalLayout_2")
self.add_N_Graphiques_2(self.nbActions)
# On rajoute le repère sur lequel on va représenter les courbes des n actifs
self.horizontalLayout_2.addLayout(self.verticalLayout_2)
self.graphicsView_n_graphiques_2 = PlotWidget(
self.horizontalLayoutWidget_2)
self.graphicsView_n_graphiques_2.setObjectName(
"graphicsView_n_graphiques_2")
self.horizontalLayout_2.addWidget(self.graphicsView_n_graphiques_2)
# On fait de même avec le repère où l'on va tracer la frontière de Markovitz
self.graphicsView_frontiere_2 = PlotWidget(
self.horizontalLayoutWidget_2)
self.graphicsView_frontiere_2.setObjectName("graphicsView_frontiere_2")
self.horizontalLayout_2.addWidget(self.graphicsView_frontiere_2)
self.tabWidget.addTab(self.tab_2, "")
# Troisième onglet: paramètres
self.tab_3 = QtWidgets.QWidget()
self.tab_3.setObjectName("tab_3")
# Code pour l'onglet "Paramètres"
# Liste des paramètres modifiables:
self.params = [
{
'name':
'Paramètres principaux',
'type':
'group',
'children': [
{
'name': "Nombre d'actifs considérés",
'type': 'int',
'value': 3
},
{
'name': "Nombre de périodes",
'type': 'int',
'value': 400
},
{
'name': "Taux d'intérêt de l'actif sans risque",
'type': 'float',
'value': 0.5,
'step': 0.1
},
{
'name': "Secteurs considérés",
'type': 'list',
'values':
["Tous", "Banque", "Automobile", "High Tech"],
'value': 2
},
{
'name': 'Numéro de poste',
'type': 'int',
'value': 1
},
{
'name': 'Aversion au risque imposée',
'type': 'bool',
'value': False,
'tip': "Aversion au risque imposée"
},
{
'name': 'Modifier la matrice de covariance',
'type': 'action'
},
]
},
{
'name':
'Sauvegarder paramètres/Annuler modifications actuelles',
'type':
'group',
'children': [
{
'name': 'Sauvegarder',
'type': 'action'
},
{
'name': 'Annuler modifications actuelles',
'type': 'action'
},
]
},
#{'name': 'Aversion au risque imposée', 'type': 'float', 'value': 1.2e6, 'siPrefix': True, 'suffix': 'Unités', 'readonly': True},
ComplexParameter(
self.coeff_de_prop,
name=
'Aversion au risque et proportion du portefeuille de marché')
]
# On crée un arbre de paramètres:
self.p = Parameter.create(name='params',
type='group',
children=self.params)
self.p.sigTreeStateChanged.connect(self.change)
# On connecte chaque champ de paramètre à la fonction valueChanging, qui gère
# ce qui se passe quand on modifie le champ
for child in self.p.children():
child.sigValueChanging.connect(self.valueChanging)
for ch2 in child.children():
ch2.sigValueChanging.connect(self.valueChanging)
self.p.param('Sauvegarder paramètres/Annuler modifications actuelles',
'Sauvegarder').sigActivated.connect(self.save)
self.p.param('Sauvegarder paramètres/Annuler modifications actuelles',
'Annuler modifications actuelles').sigActivated.connect(
self.restore)
self.p.param('Paramètres principaux',
'Modifier la matrice de covariance').sigActivated.connect(
self.matrice_de_cov)
# On crée le widget associé à l'arbre de paramètres
self.t = ParameterTree()
self.t.setParameters(self.p, showTop=False)
self.t.setWindowTitle('Arbre de paramètres')
self.layout = QtGui.QGridLayout()
self.tab_3.setLayout(self.layout)
self.layout.addWidget(self.t, 1, 0, 1, 1)
# test sauvegarder/rétablir
self.s = self.p.saveState()
self.p.restoreState(self.s)
if parametres == True:
self.tabWidget.addTab(self.tab_3, "")
# Quatrième onglet: mesurer l'aversion au risque
self.tab_4 = QtWidgets.QWidget()
self.tab_4.setObjectName("tab_4")
if aversion_au_risque == True:
self.tabWidget.addTab(self.tab_4, "")
#######################################CHANTIER#########################################
vb = pg.ViewBox()
vb.setAspectLocked(True)
img = pg.ImageItem(np.zeros((200, 200)))
vb.addItem(img)
vb.setRange(QtCore.QRectF(0, 0, 200, 200))
# Coefficient multiplicatif reliant alpha et 1/lambda
uns = np.ones(self.nbActions)
self.coeff_de_prop = np.dot(
uns, np.dot(np.linalg.inv(self.Sigma), self.Mu)
) # Coefficient de proportionalité entre gamma et 1/alpha
## start drawing with 3x3 brush
kern = np.array([[0.0, 10, 0.0], [10, 10.0, 10], [0.0, 10, 0.0]])
img.setDrawKernel(kern, mask=kern, center=(1, 1), mode='add')
img.setLevels([0, 10])
## yScale = pg.AxisItem(orientation='left', linkView=vb)
if chantier:
pg.show()
# xScale = pg.AxisItem(orientation='bottom', linkView=vb)
## l.addItem(xScale, 1, 1)
## l.addItem(yScale, 0, 0)
# pw = pg.PlotWidget(self.tab_4,viewBox=vb, axisItems={'bottom': xScale}, enableMenu=False, title="PlotItem with custom axis and ViewBox<br>Menu disabled, mouse behavior changed: left-drag to zoom, right-click to reset zoom")
# pw.show()
# pw = pg.PlotWidget(self.tab_4,viewBox=vb, axisItems={'bottom': xScale}, enableMenu=False, title="PlotItem with custom axis and ViewBox<br>Menu disabled, mouse behavior changed: left-drag to zoom, right-click to reset zoom")
# pw.show()
## On crée une fenêtre avec un Widget GraphicsView
# self.w = pg.GraphicsView(self.tab_4)
# self.w.show()
# self.w.resize(800,800)
# self.w.setWindowTitle('pyqtgraph example: Draw')
#
# self.view = pg.ViewBox()
# self.w.setCentralItem(self.view)
#
# ## lock the aspect ratio
# self.view.setAspectLocked(True)
#
# ## Create image item
# self.img = pg.ImageItem(np.zeros((200,200)))
# self.view.addItem(self.img)
#
#
#
# ## Set initial view bounds
# self.view.setRange(QtCore.QRectF(0, 0, 200, 200))
#
# ## start drawing with 3x3 brush
# kern = np.array([
# [0.0, 10, 0.0],
# [10, 10.0, 10],
# [0.0, 10, 0.0]
# ])
# self.img.setDrawKernel(kern, mask=kern, center=(1,1), mode='add')
# self.img.setLevels([0, 10])
#
# self.view.setMouseEnabled(False,False)
## self.layout_gamma = QtGui.QGridLayout()
## self.tab_4.setLayout(self.layout_gamma)
## self.layout_gamma.addWidget(self.w, 1, 0, 1, 1)
#####FINCHANTIER
# Autres
MainWindow.setCentralWidget(self.centralWidget)
self.menuBar = QtWidgets.QMenuBar(MainWindow)
self.menuBar.setGeometry(QtCore.QRect(0, 0, 1212, 26))
self.menuBar.setObjectName("menuBar")
MainWindow.setMenuBar(self.menuBar)
self.mainToolBar = QtWidgets.QToolBar(MainWindow)
self.mainToolBar.setObjectName("mainToolBar")
MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.mainToolBar)
self.statusBar = QtWidgets.QStatusBar(MainWindow)
self.statusBar.setObjectName("statusBar")
MainWindow.setStatusBar(self.statusBar)
self.retranslateUi(MainWindow)
self.tabWidget.setCurrentIndex(0)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
