def __init__(self):
super(MainWindow, self).__init__()
mw = MatplotlibWidget()
subplot = mw.getFigure().add_subplot(111)
mw.draw()
# print(dir(mw))
# layout=QHBoxLayout()
# mylabel=QLabel('Hi')
# layout.addWidget(mylabel)
# layout.addWidget(mw)
# self.setLayout(layout)
layout = QFormLayout()
self.btn = QPushButton("Choose from list")
self.btn.clicked.connect(self.getItem)
self.le = QLineEdit()
layout.addRow(self.btn, self.le)
self.btn1 = QPushButton("get name")
self.btn1.clicked.connect(self.gettext)
self.le1 = QLineEdit()
layout.addRow(self.btn1, self.le1)
self.btn2 = QPushButton("Enter an integer")
self.btn2.clicked.connect(self.getint)
self.le2 = QLineEdit()
layout.addRow(self.btn2, self.le2)
self.setLayout(layout)
self.setWindowTitle("Input Dialog demo")
layout.addRow(mw)
class StopWatchWindows(QtGui.QWidget):
def __init__(self, args):
super().__init__()
self.main_layout = main_layout = QtGui.QVBoxLayout()
self.setLayout(main_layout)
self.startstop_button = QtGui.QPushButton('Start', self)
self.save_button = QtGui.QPushButton('Save', self)
self.label = QtGui.QLabel(self)
self.display_time(0)
self.plot_widget = MatplotlibWidget()
main_layout.addWidget(self.startstop_button)
main_layout.addWidget(self.label)
main_layout.addWidget(self.plot_widget)
main_layout.addWidget(self.save_button)
self.startstop_button.clicked.connect(self.on_startstop_clicked)
self.save_button.clicked.connect(self.save_to_file)
def on_startstop_clicked(self):
if self.startstop_button.text() == 'Start':
self.thread = MyThread(self.display_time)
self.thread.start()
self.thread_scope = MyThread(self.update_graph, delay=0.2)
self.thread_scope.start()
self.startstop_button.setText('Stop')
else:
self.startstop_button.setText('Start')
self.thread.want_to_terminate = True
self.thread_scope.want_to_terminate = True
def display_time(self, val):
dec = val % 1
int_part = int(val - dec)
seconds = int_part % 60
minutes = int_part // 60
val = f"{minutes:02d}:{seconds:02d}:{int(100*dec):02d}"
self.label.setText(val)
def update_graph(self, val):
fig = self.plot_widget.getFigure()
fig.clf()
ax = fig.subplots(1, 1)
x, y = scope.get_waveform()
ax.plot(x, y)
self.data = np.array([x, y]).T
fig.canvas.draw()
def save_to_file(self):
file_name, _ = QtGui.QFileDialog.getSaveFileName(
self.save_button, 'Save file', "", "Data file (*.txt)")
np.savetxt(file_name, self.data)
class StopWatchWindows(QtGui.QWidget):
def __init__(self, args):
self.app = QtGui.QApplication([])
QtGui.QWidget.__init__(self)
self.main_layout = main_layout = QtGui.QVBoxLayout()
self.setLayout(main_layout)
self.btn = QtGui.QPushButton('Start', self)
main_layout.addWidget(self.btn)
self.label = QtGui.QLabel(self)
self.label.setText('Bonjour')
main_layout.addWidget(self.label)
self.btn.clicked.connect(self.on_btn_clicked)
self.w_plot = MatplotlibWidget()
main_layout.addWidget(self.w_plot)
self.plot_data([1, 2, 1, 5])
instr = vxi11.Instrument('134.157.91.150')
self.scope = TektronixScope(instr)
self.display_time(0)
def display_time(self, t):
self.label.setText('{:.2f}'.format(t))
self.plot_data(self.scope.get_waveform(1))
def on_btn_clicked(self):
print('Hello')
if self.btn.text() == "Start":
self.thread = MyThread(self.display_time)
self.thread.start()
self.btn.setText('Stop')
elif self.btn.text() == "Stop":
self.thread.want_to_terminate = True
self.thread.join()
self.btn.setText('Start')
def plot_data(self, data):
fig = self.w_plot.getFigure()
fig.clf()
ax = fig.subplots(1, 1)
ax.plot(data)
fig.canvas.draw()
def _create_expected_answered_ease_heatmap(self):
chosen_ease = ['1', '2', '3', '4']
expected_ease = ['1', '2', '3']
answers = [[t.expected_ease, t.chosen_ease]
for t in RevisionAnswer.select(RevisionAnswer.expected_ease,
RevisionAnswer.chosen_ease)]
df = pandas.DataFrame(answers,
columns=['expected_ease',
'chosen_ease']).groupby([
'expected_ease', 'chosen_ease'
]).size().unstack(fill_value=0)
mat = df.to_numpy()
print(mat)
mw = MatplotlibWidget()
fig = mw.getFigure()
ax = fig.add_subplot()
im = ax.imshow(df)
ax.set_xticks(numpy.arange(len(chosen_ease)))
ax.set_yticks(numpy.arange(len(expected_ease)))
ax.set_xticklabels(chosen_ease)
ax.set_yticklabels(expected_ease)
ax.set_xlabel("Chosen ease")
ax.set_ylabel("Expected ease")
pyplot.setp(ax.get_xticklabels(),
rotation=45,
ha="right",
rotation_mode="anchor")
for i in range(len(chosen_ease)):
for j in range(len(expected_ease)):
text = ax.text(i,
j,
mat[j, i],
ha="center",
va="center",
color="w")
fig.tight_layout()
mw.draw()
self.layout.addWidget(mw)
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
self.createActions()
self.createMenus()
self.setGeometry(100, 100, 600, 900)
self.centralWidget = QWidget()
# GrphicsWidget()
layout = QHBoxLayout(self.centralWidget)
self.scrollArea = QScrollArea(self)
self.mw = MatplotlibWidget(size=(3.0, 40.0), dpi=100)
lplot = self.mw.getFigure().add_subplot(121)
self.ax = self.mw.getFigure().gca()
l, b, w, h = self.ax.get_position().bounds
# print(l, b, w, h)
# self.ax.invert_yaxis()
self.ax.set_position([0.125, 0.05, 0.5, 0.94])
# l, b, w, h = self.ax.get_position().bounds
# print(l, b, w, h)
self.mw.draw()
# self.plotlayout.addWidget(self.mw)
self.scrollArea.setWidget(self.mw)
layout.addWidget(self.scrollArea)
self.setCentralWidget(self.centralWidget)
self.lastree = LasTree()
self.logtree = LasTree()
self.wellLoad()
self.logtree.set_files(['GR', 'BS'])
self.logtree.buildTreeWidget()
self.logtree.tree.itemSelectionChanged.connect(self.logPlot)
self.createDockWindows()
# self.logFileList.itemSelectionChanged.connect(self.lasLoad)
# if not self.las_just_selected:
# self.logList.itemSelectionChanged.connect(self.logPlot)
self.setWindowTitle("Loggy")
# self.newLetter()
def wellLoad(self):
self.wellFolder = well_folder
self.files = []
for f in np.array(os.listdir(self.wellFolder)[:]):
if f[-4:].lower() in ['.las', 'dlis']:
self.files.append(f)
self.files = np.array(self.files)
files_w_path = [self.wellFolder + f for f in self.files]
cols = []
# self.files=np.array(os.listdir(self.wellFolder)[:])
self.lastree.set_files(self.files)
self.lastree.buildTreeWidget()
self.lasfiletree = self.lastree.treeview_dict.copy()
self.lastree.tree.itemSelectionChanged.connect(self.lasLoad)
self.lasLoadThread = LasLoadThread(files=files_w_path)
# def lasBackgroundLoad():
def lasLoad(self):
las_name = self.lastree.tree.selectedItems()[0].text(
0) #self.logFileList.selectedItems()[0].text()
if las_name in ['TVD', 'MD', 'LWD', 'WireLine']:
return
findex = np.where(self.files == las_name)[0][0]
# print(findex)
Loaded = False
while (not Loaded):
if (findex < len(self.lasLoadThread.Lases)):
self.las = self.lasLoadThread.Lases[findex]
Loaded = True
self.logtree.tree.clear()
# print('hi')
else:
# print('hello')
# self.logtree.addItems(['Loading....'])
time.sleep(1)
if len(self.logtree.tree.selectedItems()) > 0:
item = self.logtree.tree.selectedItems()[0]
# print(dir(item))
item.setSelected = False
if not (len(self.las.keys()) < 1):
# self.logtree = LasTree(self.las.keys())
self.logtree.set_files(self.las.keys())
self.logtree.buildTreeWidget()
dcol = self.las.keys()[find_depth_indx(self.las)]
self.depth_col = str_array2floats(self.las[dcol])
# else:
# self.las_just_selected = True
def logPlot(self):
# print(self.mw.getFigure().)
# pass
# if not self.las_just_selected:
if len(self.logtree.tree.selectedItems()) > 0:
keycol = self.logtree.tree.selectedItems()[0].text(0)
try:
self.log_col = str_array2floats(self.las[keycol])
self.ax = LogPlot.basicPlot(self.ax,
self.depth_col,
self.log_col,
lcolor='#800000')
self.ax.set_ylim(500, 3000)
self.ax.invert_yaxis()
except:
print('Unable to convert log to floats')
self.mw.draw()
def set_category(self):
# qt_app = QApplication(sys.argv)
# mnomonicsfile=mnomonicsfile
# print(self.logtree.treeview_dict)
# set_category_app = Categorize(self.logtree.treeview_dict,mnomonicsfile)
print('*************************************************')
print(self.logtree.treeview_dict)
category_window = Categorize(self)
category_window.set_params(self.logtree, mnomonicsfile)
category_window.show()
# self.logtree.tree.clear()
# self.logtree.buildTreeWidget()
# set_category_app.run()
# self.logtree.buildTreeWidget()
def createDockWindows(self):
dock = QDockWidget("Log Files", self)
dock.setAllowedAreas(Qt.LeftDockWidgetArea | Qt.RightDockWidgetArea)
dock.setWidget(self.lastree.tree)
#
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
self.set_category_button = QPushButton('Set Category', self)
self.slect_files_button = QPushButton(
'Select files for further process', self)
# self.layout.addWidget(self.logtree.tree)
dock = QDockWidget("Set", self)
btn_w = QWidget()
self.btn_layout = QVBoxLayout()
btn_w.setLayout(self.btn_layout)
dock.setWidget(btn_w)
self.btn_layout.addWidget(self.set_category_button)
self.btn_layout.addWidget(self.slect_files_button)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
dock = QDockWidget("Logs", self)
dock.setWidget(self.logtree.tree)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
self.set_category_button.clicked.connect(self.set_category)
self.slect_files_button.clicked.connect(self.retain4FurtherAnalysis)
def createActions(self):
self.exitAct = QAction("E&xit",
self,
shortcut="Ctrl+Q",
triggered=self.close)
self.openFileAct = QAction("&Open",
self,
shortcut="Ctrl+O",
triggered=self.file_open)
self.aboutAct = QAction("&About", self, triggered=self.about)
def retain4FurtherAnalysis(self):
# print(self.lastree.treeview_dict)
print(self.lasfiletree)
lasfilemodtree = {}
lc = LogCategorize(mnomonicsfile)
self.files_4_further_analysis = []
self.allfiles = {'fname': [], 'drange': [], 'curve_names': []}
if len(self.lasLoadThread.Lases) == len(self.files):
print('Loaded all files...')
for las, lf in zip(self.lasLoadThread.Lases, self.files):
lc.set_las(las)
lc.lasCategorize()
# print(lc.treeview_dict)
# print(lc.get_catePresent())
# print( lc.get_lasdepthrange())
# print( lc.get_curverange('CAL'))
lcates = lc.get_catePresent()
# if len(lcates)>3:
self.allfiles['fname'].append(lf)
self.allfiles['drange'].append(lc.get_lasdepthrange())
self.allfiles['curve_names'].append(lc.get_catePresent())
# print(self.allfiles)
topdepts = np.array(
[np.float(d[0]) for d in self.allfiles['drange']])
ncurves = np.array([len(d) for d in self.allfiles['curve_names']])
self.allfiles['topdepts'] = topdepts
self.allfiles['ncurves'] = ncurves
self.allfiles['fname'] = np.array(self.allfiles['fname'])
print(np.column_stack((topdepts, ncurves)))
for k in self.lasfiletree:
lasfilemodtree[k] = {}
for l in self.lasfiletree[k]:
lasfilemodtree[k][l] = {}
if (len(self.lasfiletree[k][l]) > 0):
branch_files = np.array(self.lasfiletree[k][l])
print('*****************************************')
print(branch_files)
branch_files = self.sort_per_depthNcurves(branch_files)
print(branch_files)
for m in branch_files:
indx = np.where(self.allfiles['fname'] == m)[0][0]
print(m, self.allfiles['fname'], indx)
lasfilemodtree[k][l][m] = [
'{} - {}'.format(
*self.allfiles['drange'][indx]),
str(len(self.allfiles['curve_names'][indx])),
','.join(self.allfiles['curve_names'][indx])
]
else:
print('Not loaded all files...')
print(lasfilemodtree)
self.retain_tree = Pytree(self)
self.retain_tree.set_tree(lasfilemodtree)
self.retain_tree.select_btn.clicked.connect(self.return_selected_items)
self.retain_tree.buildTree()
self.retain_tree.show()
# sys.exit(app.exec_())
def return_selected_items(self):
iterator = QTreeWidgetItemIterator(self.retain_tree.tree)
value = iterator.value()
self.retain_files = []
self.retain_files_ranges = []
while value:
if value.checkState(0) == Qt.Checked:
# print('yes')
print(value.text(0))
self.retain_files.append(value.text(0))
self.retain_files_ranges.append(value.text(1))
# if hasattr(value, 'saveValue'):
# value.saveValue()
iterator += 1
value = iterator.value()
# print(self.retain_files)
# print(self.retain_files_ranges)
self.retain_tree.close()
self.show_lateralCorrections()
def show_lateralCorrections(self):
self.lateralCorr_buttons = []
for i, rf in enumerate(zip(self.retain_files,
self.retain_files_ranges)):
lcw = QWidget()
self.harlayout = QHBoxLayout()
self.lateralCorr_buttons.append(
QPushButton('Do Lateral Depth Match-' + str(i), self))
self.harlayout.addWidget(QLabel(rf[1]))
self.harlayout.addWidget(self.lateralCorr_buttons[-1])
print(rf[0])
self.lateralCorr_buttons[-1].clicked.connect(
lambda state, x=rf[0]: self.doLateralCorr(x))
lcw.setLayout(self.harlayout)
self.btn_layout.addWidget(lcw)
def doLateralCorr(self, lfilename):
self.selected_lases = []
findex = np.where(self.files == lfilename)[0][0]
print(lfilename, findex)
self.selected_lases.append(self.lasLoadThread.Lases[findex])
lateralWin = LateralCorr(self)
lateralWin.buildLogTree(self.selected_lases)
lateralWin.logCorrelations()
lateralWin.show()
def sort_per_depthNcurves(self, branch_files):
indxs = []
for m in branch_files:
indxs.append(np.where(self.allfiles['fname'] == m)[0][0])
ncurves = self.allfiles['ncurves'][indxs]
sort_dpt_indx = np.argsort(self.allfiles['topdepts'][indxs])
ncurves_rule = ncurves[sort_dpt_indx] > 2
branch_files = branch_files[sort_dpt_indx]
# sort_dpt_indx=sort_dpt_indx[::-1]
return np.append(branch_files[ncurves_rule],
branch_files[~ncurves_rule])
def createMenus(self):
self.fileMenu = QMenu("&File", self)
# self.fileMenu.addAction(self.openAct)
# self.fileMenu.addAction(self.printAct)
self.fileMenu.addSeparator()
self.fileMenu.addAction(self.openFileAct)
self.fileMenu.addAction(self.exitAct)
self.helpMenu = QMenu("&Help", self)
self.helpMenu.addAction(self.aboutAct)
# self.helpMenu.addAction(self.aboutQtAct)
self.menuBar().addMenu(self.fileMenu)
# self.menuBar().addMenu(self.viewMenu)
# self.menuBar().addMenu(self.digitizeMenu)
self.menuBar().addMenu(self.helpMenu)
self.file_toolbar = QToolBar("File")
self.file_toolbar.setIconSize(QSize(24, 24))
self.addToolBar(self.file_toolbar)
def about(self):
QMessageBox.about(
self, "About Log splicer",
"<p>The <b>Image Viewer</b> example shows how to combine "
"(QScrollArea.widgetResizable), can be used to implement "
"zooming and scaling features.</p>"
"<p>In addition the example shows how to use QPainter to "
"print an image.</p>")
def file_open(self):
print('Not yet set')
class VerticalCorr(QMainWindow):
def __init__(self, parent=None):
super(VerticalCorr, self).__init__(parent)
from loggy_settings import well_folder, lwdVSwirelineFile, mnomonicsfile
# projectFolder=r'D:\Ameyem Office\Projects\Cairn\W1\\'
self.log_bundle = np.load(well_folder + '..\proc_logs_bundle.npy')
self.flt_logs = {}
for logname in self.log_bundle[0]['keys']:
print(logname)
self.flt_logs[logname] = [[] for i in range(len(self.log_bundle))]
print('Starting main window...')
self.centralWidget = QWidget()
self.setCentralWidget(self.centralWidget)
self.setWindowTitle('Vertical Correlations')
self.setGeometry(100, 100, 900, 400)
layout = QVBoxLayout(self.centralWidget)
self.logscrollArea = QScrollArea(self)
layout.addWidget(self.logscrollArea)
fw = QWidget()
# fw.setMaximumWidth(120)
# self.formLayout=QFormLayout()
self.formLayout = QHBoxLayout()
fw.setLayout(self.formLayout)
layout.addWidget(fw)
self.filtscrollArea = QScrollArea(self)
layout.addWidget(self.filtscrollArea)
self.getFormLayerFilled()
self.setCentralWidget(self.centralWidget)
self.createDockWindows()
self.run_mass_filter()
def getFormLayerFilled(self):
self.learray = []
# self.formLayout.addRow(QLabel(' '))
# self.formLayout.addRow(QLabel('Calculated delays'))
# self.formLayout.addRow(QLabel(' '))
# for i,l in enumerate(self.delays.keys()):
# self.learray.append( QLineEdit('%.2f'%self.delays[l])) #
# self.formLayout.addRow(QLabel(l),self.learray[-1])
self.n_patches2retain_le = QLineEdit('1')
self.n_hist_segments_le = QLineEdit('100')
self.histFilter_btn = QPushButton("Remove Spikes")
self.histForm = QFormLayout()
self.histForm.addRow(QLabel('Retainpatches: '),
self.n_patches2retain_le)
self.histForm.addRow(QLabel('HistSegments: '), self.n_hist_segments_le)
hfw = QWidget()
hfw.setMaximumWidth(200)
hfw.setLayout(self.histForm)
# hfw.setMinimumWidth(120)
self.formLayout.addWidget(hfw)
self.formLayout.addWidget(self.histFilter_btn)
self.histFilter_btn.clicked.connect(self.histFilter)
# self.formLayout.addRow(QLabel(' '))
# self.recal_btn = QPushButton("Recalculate")
# self.formLayout.addRow(self.recal_btn)
# self.recal_btn.clicked.connect(self.recalculateDelay)
# self.formLayout.addRow(QLabel(' '))
# self.save_btn = QPushButton("Save Curves")
# self.formLayout.addRow(self.save_btn)
# self.save_btn.clicked.connect(self.saveCorrCurves)
# def applyDelayChange(self):
# for le,key in zip(self.learray,self.delays.keys()):
# self.delays[key]=np.float(le.text())
# print(le.text())
# self.log_correlations_plot()
# def recalculateDelay(self):
# self.logCorrelations()
# def saveCorrCurves(self):
# print('Saving logs...')
# proc_logs={}
# for logname in self.delays.keys():
# if self.delays[logname] !=0:
# shift_depth=self.depth_col+self.delays[logname]
# shift_depth.shape=len(shift_depth),1
# # np.save('now.npy',(shift_depth,self.las[logname]))
# # print(shift_depth,self.las[logname])
# XY=np.append(shift_depth,self.las[logname].reshape(len(shift_depth),1),axis=1)
# XY.shape=len(shift_depth),2
# # print(XY)
# flexlog=FlexLog(XY)
# resamLog=flexlog.resampleY(self.depth_col)
# else:
# resamLog=self.las[logname]
# key=self.interestedKeynames[self.interestedLognames==logname][0]
# proc_logs[key]=resamLog
# proc_logs['GR']=self.las[self.grlogname]
# proc_logs['DEPTH']=self.depth_col
# proc_logs['vlues_size']=np.size(self.las.values())
# proc_logs['keys']=self.interestedKeynames
# # proc_logs['test']='yes'
# bundle_file=self.wellFolder+'../proc_logs_bundle.npy'
# repeated=False
# if os.path.isfile(bundle_file):
# logbundle=np.load(bundle_file)
# for i,lb in enumerate(logbundle):
# if lb['vlues_size']==proc_logs['vlues_size']:
# repeated=True
# print('It is repeated so updated but not created...')
# logbundle[i]=proc_logs
# else:
# logbundle=[]
# if not repeated:
# logbundle=np.append(logbundle,proc_logs)
# np.save(bundle_file,logbundle)
# print('Processed logs saved.. you can move on to next set...')
# time.sleep(2)
# self.close()
def histFilter(self):
depthcol_name = 'DEPTH'
self.filtw = MatplotlibWidget(size=(22.0, 4), dpi=100)
self.filtscrollArea.setWidget(self.filtw)
ax = self.filtw.getFigure().add_subplot(1, 1, 1)
hist_bins = np.int(self.n_hist_segments_le.text())
n_big_patches = np.int(self.n_patches2retain_le.text())
self.flt_logs[self.logname] = []
for i, lb in enumerate(self.log_bundle):
self.flt_logs[self.logname][i] = hist_filter(
lb[self.logname].copy(),
n_big_patches=n_big_patches,
hist_bins=hist_bins)
ax.plot(lb[depthcol_name], self.flt_logs[self.logname][i])
# print(flt_arrs)
def run_mass_filter(self):
hist_bins = np.int(self.n_hist_segments_le.text())
n_big_patches = np.int(self.n_patches2retain_le.text())
for i, lb in enumerate(self.log_bundle):
for logname in lb['keys']:
self.flt_logs[logname][i] = hist_filter(
lb[logname].copy(),
n_big_patches=n_big_patches,
hist_bins=hist_bins)
def logPlotPanel(self):
print('Initiating plot widget...')
self.logname = self.lastree.tree.selectedItems()[0].text(0)
depthcol_name = 'DEPTH'
# firstlog
logdata = []
depthdata = []
self.mw = MatplotlibWidget(size=(22.0, 4), dpi=100)
self.logscrollArea.setWidget(self.mw)
self.ax = self.mw.getFigure().add_subplot(1, 1, 1)
self.filtw = MatplotlibWidget(size=(22.0, 4), dpi=100)
self.filtscrollArea.setWidget(self.filtw)
ax2 = self.filtw.getFigure().add_subplot(1, 1, 1)
for i, lb in enumerate(self.log_bundle):
# print(lb[self.logname],lb[depthcol_name])
self.ax.plot(lb[depthcol_name], lb[self.logname])
ax2.plot(lb[depthcol_name], self.flt_logs[self.logname][i])
# logdata=np.append([logdata],[lb[logname]],axis=0 )
# depthdata=np.append([depthdata],[lb[depthcol_name] ],axis=0 )
# print(logdata)
# self.depth_col=self.las[dcol]
# dt=self.depth_col[1]-self.depth_col[0]
# print('Spacing = ',dt)
# gammacol=self.las[self.grlogname]
# gammacol[np.isnan(gammacol)]=0
# self.norm_gamma=mean_norm(gammacol)#[0:800]
# l, b, w, h = self.ax.get_position().bounds
# self.ax.set_position([0.27,b+0.1,0.7,h])
# self.lag_corrs={}
# self.delays={}
# self.normlogs={}
# print('Calculating correlations...')
# for logname in self.interestedLognames:
# if logname != self.grlogname:
# self.log_col=self.las[logname]
# self.log_col[np.isnan(self.log_col)]=0
# norm_blog=mean_norm(self.log_col)#[0:800]
# self.normlogs[logname]=norm_blog
# dist2look=100
# delay_estimation,lag_corr= get_delay(self.norm_gamma,norm_blog,dt,corrtype='abs',dist2look=dist2look)
# self.delays[logname]=-delay_estimation
# lagcor_range=np.arange(round(len(lag_corr[0])/2)-4*dist2look,round(len(lag_corr[0])/2)+4*dist2look)
# self.lag_corrs[logname]=(lag_corr[0][lagcor_range],lag_corr[1][lagcor_range])
# self.log_correlations_plot()
# self.getFormLayerFilled()
def log_correlations_plot(self):
self.mw = MatplotlibWidget(size=(22.0,
len(self.interestedLognames) * 1.6),
dpi=100)
self.logscrollArea.setWidget(self.mw)
print('Plotting...')
self.ax = []
for i, logname in enumerate(self.normlogs.keys()):
self.ax.append(self.mw.getFigure().add_subplot(
len(self.normlogs), 1, i + 1))
l, b, w, h = self.ax[-1].get_position().bounds
self.ax[-1].set_position([0.27, b + 0.1, 0.7, h])
# self.log_col=self.las[logname]
# self.log_col[np.isnan(self.log_col)]=0
# norm_blog=mean_norm(self.log_col)#[0:800]
depthb_shift = self.depth_col + self.delays[logname]
self.ax[-1].plot(self.depth_col, self.normlogs[logname], 'b')
self.ax[-1].plot(self.depth_col, self.norm_gamma, 'r')
self.ax[-1].plot(depthb_shift, self.normlogs[logname], 'magenta')
self.ax[-1].text(self.depth_col[0] - 50, 0.02, logname)
lenax = len(self.ax)
for i, logname in enumerate(self.lag_corrs.keys()):
self.ax.append(self.mw.getFigure().add_subplot(
len(self.normlogs), 2, lenax + i + 1))
l, b, w, h = self.ax[i].get_position().bounds
self.ax[-1].set_position([0.03, b, 0.21, h])
self.ax[-1].plot(self.lag_corrs[logname][0],
self.lag_corrs[logname][1], 'b')
self.ax[-1].text(self.delays[logname],
min(self.lag_corrs[logname][1]),
'Delay = %.2f' % self.delays[logname])
line = self.ax[-1].axvline(x=self.delays[logname],
ymin=-1,
ymax=+1,
linewidth=1.5,
color='c')
self.ax[-1].text(self.lag_corrs[logname][0][0], 0.4, logname)
self.mw.draw()
print('Complete...')
def buildLogTree(self):
self.lastree = LasTree()
self.lastree.tree.headerItem().setText(0, "Categories")
for lb in self.log_bundle:
# logkeys=np.append(['GR'],lb['keys'])
# print(logkeys)
self.lastree.set_files(lb['keys'], make_tree_dict=False)
mind, maxd = min(lb['DEPTH']), max(lb['DEPTH'])
self.lastree.tree = treeWidgetFrmArray(
self.lastree.tree, '({0:4.1f} to {1:4.1f})'.format(mind, maxd),
lb['keys'])
self.lastree.tree.itemSelectionChanged.connect(self.logPlotPanel)
self.dock.setWidget(self.lastree.tree)
print(dir(self.lastree.tree))
print(help(self.lastree.tree.itemAt))
print(self.lastree.tree.itemAt(1, 0).text(0))
def createDockWindows(self):
self.dock = QDockWidget("Log Files", self)
self.dock.setAllowedAreas(Qt.LeftDockWidgetArea
| Qt.RightDockWidgetArea)
# dock.setWidget(self.lastree.tree)
self.addDockWidget(Qt.LeftDockWidgetArea, self.dock)
class mainWindow(QtGui.QMainWindow):
"""
main Window, parent to GL Viewport and UI
"""
def __init__(self, load=None, loadsnapshot=None, options={}, **kwargs):
super(mainWindow, self).__init__()
self._setupUI()
if load is not None:
self.loaddata_gadget(load)
if loadsnapshot is not None:
self.loadsnapshot_gadget(loadsnapshot, basic=options.basic)
def _setupUI(self):
area = DockArea()
self.setCentralWidget(area)
self.resize(1000,800)
self.setWindowTitle('Gadget Visualization')
self._setupMenu()
## Create docks, place them into the window one at a time.
## Note that size arguments are only a suggestion; docks will still have to
## fill the entire dock area and obey the limits of their internal widgets.
self.dock1 = Dock("Main Window", size=(800, 800))
self.dock2 = Dock("Console", size=(800,200))
self.dock3 = Dock("View", size=(200,800))
self.dock4 = Dock("Options", size=(200,800))
self.dock1.hideTitleBar()
self.dock2.hideTitleBar()
# dock3.hideTitleBar()
area.addDock(self.dock1, 'left')
area.addDock(self.dock3, 'right', self.dock1)
area.addDock(self.dock4, 'top', self.dock3)
area.addDock(self.dock2, 'bottom', self.dock1)
area.moveDock(self.dock3, 'above', self.dock4)
## Add widgets into each dock
# self.sn = None
self.filePath = '.'
self.sn = snapshot()
self.vis = sphvis()
## add GL Viewport
self.ViewWidget = myGLViewWidget()
self.ViewWidget.addItem(self.vis)
self.dock1.addWidget(self.ViewWidget)
## setup embedded IPython terminal
self._setupIpythonWidget()
## setup control widget
self._setupControls()
def _setupIpythonWidget(self):
namespace={'pg': pg, 'np': np, 'vis': self.vis, 'sn': self.sn, 'vw': self.ViewWidget, 'main': self }
#w2 = pg.console.ConsoleWidget(namespace=namespace)
self.ipythonWidget = QIPythonWidget()
self.ipythonWidget.pushVariables(namespace)
self.dock2.addWidget(self.ipythonWidget)
self.ipythonWidget.execute("%pylab", True, False)
welcomeText = "\nPySPHViewer v%s\n" % (VERSION) \
+ "The data of the currently visible Snapshot can be accessed with the 'sn' object\n" \
+ "import numpy as np, pyqtgraph as pg\n" \
+ "\n"
self.ipythonWidget.printText(welcomeText)
def _setupControls(self):
w3 = pg.LayoutWidget()
self.dock3.addWidget(w3)
label = QtGui.QLabel("")
w3.addWidget(label)
w3.nextRow()
##buttons
buttons = [('Reset', self.ViewWidget.reset, 'r', -1),
('Save Rotation', self.saveCurrentView, None, -1),
('X-Z', self.ViewWidget.rotateXZ, 'c', None),
('X-Y', self.ViewWidget.rotateXY, 'v', None),
('Y-Z', self.ViewWidget.rotateYZ, 'b', 1),
]
for text, action, shortcut, cs in buttons:
btn = QtGui.QPushButton(text)
btn.setMinimumWidth(15)
if cs:
w3.addWidget(btn, colspan=cs)
w3.nextRow()
else:
w3.addWidget(btn)
if shortcut:
btn.setShortcut(shortcut)
btn.clicked.connect(action)
w4 = pg.LayoutWidget()
self.dock3.addWidget(w4)
## Checkboxes to select particle types to be displayed
for t in range(self.vis.ntypes):
cb = QtGui.QCheckBox(self.vis.typenames[t])
cb.toggle()
cb.stateChanged.connect(partial(self.vis.changeDrawTypes, ptype=t))
w4.addWidget(cb)
w4.nextRow()
sliders = [
("Pointsize", np.sqrt(self.vis.mastersize)*25, self.vis.sizeChange, (0,100)),
("Alpha", self.vis.lum * 100, self.vis.alphaChange, (0,100)),
("Step", self.vis.step, self.vis.stepChange, (1,100)),
]
for text, val, slot, srange in sliders:
label = QtGui.QLabel("%16s" % text)
w4.addWidget(label)
sl = QtGui.QSlider(QtCore.Qt.Horizontal)
sl.setRange(*srange)
sl.setValue(val)
w4.addWidget(sl)
w4.nextRow()
sl.valueChanged.connect(slot)
label = QtGui.QLabel("")
w4.addWidget(label)
def initpopup(self):
self.popupPlot = popupPlot()
vbox = QtGui.QVBoxLayout()
self.popupPlot.setLayout(vbox)
self.popupPlot.show()
self.mw = MatplotlibWidget()
vbox.addWidget(self.mw)
self.subplot = self.mw.getFigure().add_subplot(111)
self.subplot.plot(np.arange(10))
self.mw.draw()
def _setupMenu(self):
openFile = QtGui.QAction('&Open File', self)
openFile.setShortcut('Ctrl+O')
openFile.setStatusTip('Open new Gadget File')
openFile.triggered.connect(self.openGadget)
popupAction = QtGui.QAction('&PlotPopup', self)
popupAction.setStatusTip('Exit application')
popupAction.triggered.connect(self.initpopup)
exitAction = QtGui.QAction('&Exit', self)
exitAction.setShortcut('Esc')
exitAction.setStatusTip('Exit application')
exitAction.triggered.connect(QtGui.qApp.quit)
self.statusBar()
menubar = self.menuBar()
fileMenu = menubar.addMenu('&File')
fileMenu.addAction(openFile)
fileMenu.addAction(exitAction)
self.toolbar = self.addToolBar('Exit')
self.toolbar.addAction(openFile)
self.toolbar.addAction(popupAction)
self.toolbar.addAction(exitAction)
def fileSelect(self):
fname = QtGui.QFileDialog.getOpenFileName(self, 'Open file', self.filePath)
if fname:
self.filePath = QtCore.QFileInfo(fname).path()
return fname
def openGadget(self):
fname = self.fileSelect()
if fname:
self.loadsnapshot_gadget(fname)
def saveCurrentView(self):
fname = self.fileSelect()
with (open(fname, 'w')) as f:
self.ViewWidget.currentView().transpose().astype(np.float64).tofile(f)
def loadsnapshot_gadget(self, fname, **kwargs):
self.sn.readgadget(fname, **kwargs)
self.loaddata_gadget(self.sn)
def loaddata_gadget(self, *args):
self.vis.loaddata_gadget(*args)
self.statusBar().showMessage('Snapshot loaded')
class LateralCorr(QMainWindow):
def __init__(self,parent=None):
super(LateralCorr, self).__init__(parent)
# self.wellFolder=well_folder
print('Starting main window...')
self.centralWidget = QWidget()
self.setCentralWidget(self.centralWidget)
self.setWindowTitle('Lateral Correlations')
self.setGeometry(100,100, 900,400)
layout = QHBoxLayout(self.centralWidget)
self.formLayout=QFormLayout()
fw=QWidget()
fw.setMaximumWidth(120)
# fw.setMinimumHeight(400)
fw.setLayout(self.formLayout)
self.logscrollArea = QScrollArea(self)
# self.corrscrollArea = QScrollArea(self)
# layout.addWidget(self.corrscrollArea)
layout.addWidget(fw)
layout.addWidget(self.logscrollArea)
self.setCentralWidget(self.centralWidget)
# self.create_plotWindow()
self.createDockWindows()
def getFormLayerFilled(self):
self.learray=[]
self.formLayout.addRow(QLabel(' '))
self.formLayout.addRow(QLabel('Calculated delays'))
self.formLayout.addRow(QLabel(' '))
for i,l in enumerate(self.delays.keys()):
self.learray.append( QLineEdit('%.2f'%self.delays[l])) #
self.formLayout.addRow(QLabel(l),self.learray[-1])
self.delaysubmit_btn = QPushButton("Apply")
self.formLayout.addRow(self.delaysubmit_btn)
self.delaysubmit_btn.clicked.connect(self.applyDelayChange)
self.formLayout.addRow(QLabel(' '))
self.recal_btn = QPushButton("Recalculate")
self.formLayout.addRow(self.recal_btn)
self.recal_btn.clicked.connect(self.recalculateDelay)
self.formLayout.addRow(QLabel(' '))
self.save_btn = QPushButton("Save Curves")
self.formLayout.addRow(self.save_btn)
self.save_btn.clicked.connect(self.saveCorrCurves)
def applyDelayChange(self):
for le,key in zip(self.learray,self.delays.keys()):
self.delays[key]=np.float(le.text())
print(le.text())
self.log_correlations_plot()
def recalculateDelay(self):
self.logCorrelations()
def saveCorrCurves(self):
print('Saving logs...')
proc_logs={}
for logname in self.delays.keys():
if self.delays[logname] !=0:
shift_depth=self.depth_col+self.delays[logname]
shift_depth.shape=len(shift_depth),1
# np.save('now.npy',(shift_depth,self.las[logname]))
# print(shift_depth,self.las[logname])
XY=np.append(shift_depth,self.las[logname].reshape(len(shift_depth),1),axis=1)
XY.shape=len(shift_depth),2
# print(XY)
flexlog=FlexLog(XY)
resamLog=flexlog.resampleY(self.depth_col)
else:
resamLog=self.las[logname]
key=self.interestedKeynames[self.interestedLognames==logname][0]
proc_logs[key]=resamLog
proc_logs['GR']=self.las[self.grlogname]
proc_logs['DEPTH']=self.depth_col
proc_logs['vlues_size']=np.size(self.las.values())
proc_logs['keys']=self.interestedKeynames
# proc_logs['test']='yes'
bundle_file=proc_logs_bundle_file
repeated=False
if os.path.isfile(bundle_file):
logbundle=np.load(bundle_file)
print('______________________^^^^__________________________')
print(len(logbundle))
for i,lb in enumerate(logbundle):
if lb['vlues_size']==proc_logs['vlues_size']:
repeated=True
print('________________________________________________')
print('It is repeated so updated but not created...')
logbundle[i]=proc_logs
break
# else:
# print('^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^')
# print('It is not repeated so created...')
else:
logbundle=[]
if not repeated:
if (len(logbundle)>0):
if proc_logs['DEPTH'][0]>logbundle[-1]['DEPTH'][0]:
logbundle=np.append(logbundle,proc_logs)
else:
logbundle=np.append(proc_logs,logbundle)
else:
logbundle=np.append(proc_logs,logbundle)
np.save(bundle_file,logbundle)
print('Processed logs saved.. you can move on to next set...')
time.sleep(2)
self.close()
def logCorrelations(self):
print('Initiating plot widget...')
self.interestedLognames=np.array([self.treeview_dict['Log'][key][0] for key in self.treeview_dict['Log']])
# self.interestedLognames=np.array(self.interestedLognames)
# print('self.interestedLognames : ',self.interestedLognames)
self.interestedKeynames=np.array([k for k in self.treeview_dict['Log'].keys()])
self.grlogname=self.treeview_dict['Log']['GR'][0]
dcol=self.las.keys()[find_depth_indx(self.las)]
self.depth_col=self.las[dcol]
dt=self.depth_col[1]-self.depth_col[0]
print('Spacing = ',dt)
gammacol=self.las[self.grlogname]
gammacol[np.isnan(gammacol)]=0
self.norm_gamma=mean_norm(gammacol)#[0:800]
self.lag_corrs={}
self.delays={}
self.normlogs={}
print('Calculating correlations...')
for logname in self.interestedLognames:
if logname != self.grlogname:
self.log_col=self.las[logname]
self.log_col[np.isnan(self.log_col)]=0
norm_blog=mean_norm(self.log_col)#[0:800]
self.normlogs[logname]=norm_blog
dist2look=100
delay_estimation,lag_corr= get_delay(self.norm_gamma,norm_blog,dt,corrtype='abs',dist2look=dist2look)
self.delays[logname]=-delay_estimation
lagcor_range=np.arange(round(len(lag_corr[0])/2)-4*dist2look,round(len(lag_corr[0])/2)+4*dist2look)
self.lag_corrs[logname]=(lag_corr[0][lagcor_range],lag_corr[1][lagcor_range])
self.log_correlations_plot()
self.getFormLayerFilled()
def log_correlations_plot(self):
self.mw = MatplotlibWidget(size=(22.0, len(self.interestedLognames)*1.6), dpi=100)
self.logscrollArea.setWidget(self.mw)
print('Plotting...')
self.ax=[]
for i,logname in enumerate(self.normlogs.keys()):
self.ax.append(self.mw.getFigure().add_subplot(len(self.normlogs),1,i+1) )
l, b, w, h = self.ax[-1].get_position().bounds
self.ax[-1].set_position([0.27,b+0.1,0.7,h])
# self.log_col=self.las[logname]
# self.log_col[np.isnan(self.log_col)]=0
# norm_blog=mean_norm(self.log_col)#[0:800]
depthb_shift=self.depth_col+self.delays[logname]
self.ax[-1].plot(self.depth_col,self.normlogs[logname],'b')
self.ax[-1].plot(self.depth_col,self.norm_gamma,'r')
self.ax[-1].plot(depthb_shift,self.normlogs[logname],'magenta')
self.ax[-1].text(self.depth_col[0]-50,0.02,logname)
lenax=len(self.ax)
for i,logname in enumerate(self.lag_corrs.keys()):
self.ax.append(self.mw.getFigure().add_subplot(len(self.normlogs),2,lenax+i+1) )
l, b, w, h = self.ax[i].get_position().bounds
self.ax[-1].set_position([0.03,b,0.21,h])
self.ax[-1].plot(self.lag_corrs[logname][0],self.lag_corrs[logname][1],'b')
self.ax[-1].text(self.delays[logname],min(self.lag_corrs[logname][1]),'Delay = %.2f'%self.delays[logname])
line = self.ax[-1].axvline(x=self.delays[logname], ymin=-1, ymax = +1, linewidth=1.5, color='c')
self.ax[-1].text(self.lag_corrs[logname][0][0],0.4,logname)
self.mw.draw()
print('Complete...')
def buildLogTree(self,lases):
w = LasTree()
# self.lasLoadThread = LasLoadThread(files=files_w_path)
self.lases=lases
if (len(self.lases)>0):
if (len(self.lases[0].keys())>0):
self.las=self.lases[0]
w.set_files(self.las.keys())
del w.treeview_dict['Log']['NA']
self.treeview_dict=w.treeview_dict
w.buildTreeWidget()
self.dock.setWidget(w.tree)
def createDockWindows(self):
self.dock = QDockWidget("Log Files", self)
self.dock.setAllowedAreas(Qt.LeftDockWidgetArea | Qt.RightDockWidgetArea)
# dock.setWidget(self.lastree.tree)
self.addDockWidget(Qt.LeftDockWidgetArea, self.dock)
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
self.axs = {}
MainWindow.setObjectName(_fromUtf8("MainWindow"))
MainWindow.resize(1024, 768)
sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Preferred)
sizePolicy.setHorizontalStretch(0)
sizePolicy.setVerticalStretch(0)
sizePolicy.setHeightForWidth(MainWindow.sizePolicy().hasHeightForWidth())
MainWindow.setSizePolicy(sizePolicy)
icon = QtGui.QIcon()
icon.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/logo48.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
MainWindow.setWindowIcon(icon)
self.centralwidget = QtGui.QWidget(MainWindow)
self.centralwidget.setObjectName(_fromUtf8("centralwidget"))
self.splitter1 = QtGui.QSplitter(QtCore.Qt.Horizontal)
#self.splitter1.setOpaqueResize(False)
self.splitter1.setChildrenCollapsible(False)
self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget)
self.verticalLayout.setObjectName(_fromUtf8("verticalLayout"))
self.progressBar = QtGui.QProgressBar(self.centralwidget)
self.progressBar.setProperty("value", 24)
self.progressBar.setObjectName(_fromUtf8("progressBar"))
self.progressBar.hide()
self.progressBar_batch = QtGui.QProgressBar(self.centralwidget)
self.progressBar_batch.setProperty("value", 24)
self.progressBar_batch.setObjectName(_fromUtf8("progressBar_batch"))
#self.progressBar_batch.hide()
#self.verticalLayout.addWidget(self.progressBar)
MainWindow.setCentralWidget(self.centralwidget)
# Menu bar
self.menubar = QtGui.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 574, 36))
self.menubar.setObjectName(_fromUtf8("menubar"))
self.menuFile = QtGui.QMenu(self.menubar)
self.menuFile.setObjectName(_fromUtf8("menuFile"))
self.menuExport = QtGui.QMenu(self.menuFile)
self.menuExport.setObjectName(_fromUtf8("menuExport"))
self.menuView = QtGui.QMenu(self.menubar)
self.menuView.setObjectName(_fromUtf8("menuView"))
MainWindow.setMenuBar(self.menubar)
# Status bar
self.statusbar = QtGui.QStatusBar(MainWindow)
self.statusbar.setObjectName(_fromUtf8("statusbar"))
MainWindow.setStatusBar(self.statusbar)
self.statusbar.addPermanentWidget(self.progressBar)
self.statusbar.addPermanentWidget(self.progressBar_batch)
# Tool bar
self.toolBar = QtGui.QToolBar(MainWindow)
self.toolBar.setObjectName(_fromUtf8("toolBar"))
self.toolBar.setIconSize(QtCore.QSize(64, 64))
#self.toolBar.setToolButtonStyle(QtCore.Qt.ToolButtonTextUnderIcon)
MainWindow.addToolBar(QtCore.Qt.LeftToolBarArea, self.toolBar)
# Dockable filelist
# http://www.tutorialspoint.com/pyqt/pyqt_qdockwidget.htm
# Is it necessary to use dockWidgetContent and layout?
self.dockWidget_file_list = QtGui.QDockWidget("Annotations", MainWindow)
self.dockWidget_file_list.setObjectName(_fromUtf8("dockWidget_file_list"))
MainWindow.addDockWidget(QtCore.Qt.LeftDockWidgetArea, self.dockWidget_file_list)
self.tableWidget_file_list = QtGui.QTableWidget(0, 2)
self.tableWidget_file_list.setHorizontalHeaderLabels(['File','Fraction(%)'])
self.tableWidget_file_list.setEditTriggers(QtGui.QAbstractItemView.NoEditTriggers)
self.tableWidget_file_list.setSelectionBehavior(QtGui.QAbstractItemView.SelectRows)
self.tableWidget_file_list.setSelectionMode(QtGui.QAbstractItemView.SingleSelection)
self.dockWidget_file_list.setWidget(self.tableWidget_file_list)
header = self.tableWidget_file_list.horizontalHeader()
header.setStretchLastSection(True)
#header.setResizeMode(QtGui.QHeaderView.Stretch)
# Dockable hist
self.splitter_lcd = QtGui.QSplitter(QtCore.Qt.Vertical)
#self.splitter1.setOpaqueResize(False)
self.splitter_lcd.setChildrenCollapsible(False)
self.mw_hist = MatplotlibWidget()
self.axs['hist_viewer'] = self.mw_hist.getFigure().add_subplot(111)
self.splitter_lcd.addWidget(self.mw_hist)
self.lcdNumber = QtGui.QLCDNumber(self.centralwidget)
self.lcdNumber.setProperty("value", 12.34)
self.lcdNumber.setObjectName(_fromUtf8("lcdNumber"))
#self.lcdNumber.setSegmentStyle(QtGui.QLCDNumber.Flat)
self.splitter_lcd.addWidget(self.lcdNumber)
self.lcdNumber.setMinimumHeight(40)
# self.splitter_lcd.setStretchFactor(0, 7);
# self.splitter_lcd.setStretchFactor(1, 1);
# self.splitter_lcd.setSizes([100,1])
#http://stackoverflow.com/questions/14478574/changing-the-digit-color-of-qlcd-number
palette = self.lcdNumber.palette()
# foreground color
palette.setColor(palette.WindowText, QtCore.Qt.red)
# background color
palette.setColor(palette.Background, QtGui.QColor(255, 0, 0))
# # "light" border
# palette.setColor(palette.Light, QtGui.QColor(255, 0, 0))
# # "dark" border
# palette.setColor(palette.Dark, QtGui.QColor(0, 255, 0))
# set the palette
self.lcdNumber.setPalette(palette)
self.dockWidget_hist = QtGui.QDockWidget("Distribution", MainWindow)
self.dockWidget_hist.setObjectName(_fromUtf8("dockWidget_hist"))
self.dockWidget_hist.setWidget(self.splitter_lcd)
MainWindow.addDockWidget(QtCore.Qt.RightDockWidgetArea, self.dockWidget_hist)
# Dockable responses
self.dockWidget_responses = QtGui.QDockWidget("Responses", MainWindow)
self.dockWidget_responses.setObjectName(_fromUtf8("dockWidget_responses"))
MainWindow.addDockWidget(QtCore.Qt.RightDockWidgetArea, self.dockWidget_responses)
self.mw_response = MatplotlibWidget()
self.axs['response_viewer'] = self.mw_response.getFigure().add_subplot(221)
self.axs['segment_viewer'] = self.mw_response.getFigure().add_subplot(222)
self.axs['raw_response_viewer'] = self.mw_response.getFigure().add_subplot(223)
self.axs['exemplar_viewer'] = self.mw_response.getFigure().add_subplot(224)
self.dockWidget_responses.setWidget(self.mw_response)
#self.splitter1.addWidget(self.splitter_lcd)
# Actions
self.actionOpen = QtGui.QAction(MainWindow)
icon1 = QtGui.QIcon()
icon1.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/add_image.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.actionOpen.setIcon(icon1)
self.actionOpen.setObjectName(_fromUtf8("actionOpen"))
self.actionOpen_folder = QtGui.QAction(MainWindow)
icon2 = QtGui.QIcon()
icon2.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/add_folder.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.actionOpen_folder.setIcon(icon2)
self.actionOpen_folder.setObjectName(_fromUtf8("actionOpen_folder"))
self.actionExportAsCSV = QtGui.QAction(MainWindow)
self.actionOpen_folder.setObjectName(_fromUtf8("actionExportAsCSV"))
self.actionDetect = QtGui.QAction(MainWindow)
icon3 = QtGui.QIcon()
icon3.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/detection.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.actionDetect.setIcon(icon3)
self.actionDetect.setObjectName(_fromUtf8("actionDetect"))
self.actionEstimate = QtGui.QAction(MainWindow)
icon4 = QtGui.QIcon()
icon4.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/recognition.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.actionEstimate.setIcon(icon4)
self.actionEstimate.setObjectName(_fromUtf8("actionEstimate"))
self.actionRunOne = QtGui.QAction(MainWindow)
icon5 = QtGui.QIcon()
icon5.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/run_one.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.actionRunOne.setIcon(icon5)
self.actionRunOne.setObjectName(_fromUtf8("actionRunOne"))
self.actionRunAll = QtGui.QAction(MainWindow)
icon6 = QtGui.QIcon()
icon6.addPixmap(QtGui.QPixmap(_fromUtf8("./resources/icons/run_all.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.actionRunAll.setIcon(icon6)
self.actionRunAll.setObjectName(_fromUtf8("actionRunAll"))
# Add actions to menu and toolbar
self.menuFile.addAction(self.actionOpen)
self.menuFile.addAction(self.actionOpen_folder)
self.menuFile.addAction(self.menuExport.menuAction())
self.menuExport.addAction(self.actionExportAsCSV)
self.menuFile.addAction(self.actionDetect)
self.menubar.addAction(self.menuFile.menuAction())
self.toolBar.addAction(self.actionOpen)
self.toolBar.addAction(self.actionOpen_folder)
self.toolBar.addSeparator()
self.toolBar.addAction(self.actionDetect)
self.toolBar.addAction(self.actionEstimate)
self.toolBar.addAction(self.actionRunOne)
self.toolBar.addAction(self.actionRunAll)
self.actionOpen.triggered.connect(self.load_image)
self.actionOpen_folder.triggered.connect(self.load_dir)
self.actionExportAsCSV.triggered.connect(self.export_as_csv)
self.actionDetect.triggered.connect(self.detect_blackboard_at_present)
self.actionEstimate.triggered.connect(self.estimate_coverage_at_present)
self.actionRunOne.triggered.connect(self.run_one_at_present)
self.actionRunAll.triggered.connect(self.run_all)
self.tableWidget_file_list.currentItemChanged.connect(self.file_list_selChanged)
##########################################
# Matplotlib Image Viewer
self.mw_image = MatplotlibWidget()
self.axs['image_viewer'] = self.mw_image.getFigure().add_subplot(111)
self.axs['image_viewer'].set_frame_on(False)
#self.splitter_lcd.addWidget(self.lcdNumber)
#self.toolBar.addWidget(self.lcdNumber)
self.splitter1.addWidget(self.mw_image)
#self.splitter1.addWidget(self.splitter_lcd)
self.splitter1.setStretchFactor(0, 10);
#self.splitter1.setStretchFactor(1, 3);
self.verticalLayout.addWidget(self.splitter1)
subplot = self.mw_image.getFigure().add_subplot(111)
x = np.array(range(100))
y = np.array(range(100))
subplot.plot(x,y)
self.mw_image.draw()
self.retranslateUi(MainWindow)
#QtCore.QObject.connect(self.horizontalSlider, QtCore.SIGNAL(_fromUtf8("valueChanged(int)")), self.progressBar.setValue)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
self.window = MainWindow
self.veg_data = veg_data()
self.veg_data.img_orig = None
self.veg_data.bbox = []
def retranslateUi(self, MainWindow):
MainWindow.setWindowTitle(_translate("MainWindow", "MO-VE: Missouri Vegetation Measurement Tool", None))
#self.label.setText(_translate("MainWindow", "Output:", None))
self.menuFile.setTitle(_translate("MainWindow", "File", None))
self.menuExport.setTitle(_translate("MainWindow", "Export", None))
self.menuView.setTitle(_translate("MainWindow", "View", None))
self.toolBar.setWindowTitle(_translate("MainWindow", "toolBar", None))
self.actionOpen.setText(_translate("MainWindow", "Load an image", None))
self.actionOpen_folder.setText(_translate("MainWindow", "Load a folder", None))
self.actionExportAsCSV.setText(_translate("MainWindow", "Export as CSV", None))
self.actionDetect.setText(_translate("MainWindow", "Detect blackboard", None))
self.actionEstimate.setText(_translate("MainWindow", "Estimate coverage rate", None))
self.actionRunOne.setText(_translate("MainWindow", "Run on current image", None))
self.actionRunAll.setText(_translate("MainWindow", "Run on all images", None))
def load_image(self):
fileName = QtGui.QFileDialog.getOpenFileName(None, 'OpenFile')
fileName = unicode(fileName)
if fileName == '' or self.load_image_by_name(fileName):
return
if not self.load_image_by_name(fileName):
return
dir_name, picture_name = os.path.split(fileName)
self.veg_data.dir = dir_name
self.veg_data.picture_list = [picture_name]
self.veg_data.fraction_list = ['-']
self.tableWidget_file_list.clearContents()
self.tableWidget_file_list.setRowCount(1)
self.tableWidget_file_list.setItem(0,0, QtGui.QTableWidgetItem(picture_name))
self.tableWidget_file_list.setItem(0,1, QtGui.QTableWidgetItem("-"))
def load_image_by_name(self, fileName):
if fileName == '':
return
print fileName
t0 = time.time()
img = cv2.imread(fileName)
t1 = time.time()
print 'cv2.imread', t1 - t0
if img is None:
msg = QtGui.QMessageBox()
msg.setIcon(QtGui.QMessageBox.Warning)
msg.setText("Unable to open " + fileName + '.')
msg.setInformativeText("Unrecognized image format.")
msg.setWindowTitle("MessageBox demo")
#msg.setDetailedText("The details are as follows:")
msg.setStandardButtons(QtGui.QMessageBox.Ok)
retval = msg.exec_()
return False
else:
b,g,r = cv2.split(img)
img2 = cv2.merge([r,g,b])
t0 = time.time()
self.axs['image_viewer'].cla()
self.axs['image_viewer'].imshow(img2)
#self.axs['image_viewer'].set_title(os.path.basename(fileName))
self.mw_image.draw()
t1 = time.time()
print 'plt.imshow', t1 - t0
#plt.show()
self.veg_data.img_orig = img
self.veg_data.bbox = []
return True
def load_dir(self):
supported_formats = ['.jpg', '.jpeg', '.png']
dir_name = unicode(QtGui.QFileDialog.getExistingDirectory(self.window, "Select Directory"))
if dir_name == '':
return
file_list = os.listdir(dir_name)
picture_list = [f for f in file_list if os.path.splitext(f)[1].lower() in supported_formats]
if not picture_list:
return
self.tableWidget_file_list.clearContents()
self.tableWidget_file_list.setRowCount(len(picture_list))
for i, p in enumerate(picture_list):
self.tableWidget_file_list.setItem(i,0, QtGui.QTableWidgetItem(p))
self.tableWidget_file_list.setItem(i,1, QtGui.QTableWidgetItem("-"))
self.veg_data.dir = dir_name
self.veg_data.picture_list = picture_list
self.veg_data.fraction_list = ['-'] * len(picture_list)
#http://stackoverflow.com/questions/14803315/connecting-qtableview-selectionchanged-signal-produces-segfault-with-pyqt
def file_list_selChanged(self, item0, item1):
if item0 is None:
return
if item1 is not None and item0.row() == item1.row():
return
print 'Selection changed.', item0.row(), unicode(item0.text())
self.load_image_by_name(os.path.join(self.veg_data.dir, self.veg_data.picture_list[item0.row()]))
self.veg_data.current_item_idx = item0.row()
# Read cache
file_name = self.veg_data.picture_list[self.veg_data.current_item_idx]
file_name = os.path.basename(file_name)
file_name = os.path.splitext(file_name)[0]
segments = cv2.imread(os.path.join(self.veg_data.cache_dir, file_name + '_segments.tiff'))
hist = None
fraction = 0.0
if segments is not None:
segments = np.bool_(segments)
#print 'segments.shape == ', segments.shape
hist = np.float32(segments[:,:,0]).mean(1)
self.veg_data.fraction = float(hist.mean())
#print os.path.join(self.veg_data.cache_dir, file_name + '_segments.tiff')
# print segments.shape
self.update_segment_viewer(segments)
self.update_hist_viewer(hist)
# print self.veg_data.fraction
# print type(self.veg_data.fraction), type(self.veg_data.fraction * 1.0)
self.lcdNumber.display(self.veg_data.fraction * 100.0)
def export_as_csv(self):
#### non-native way:
# dialog = QtGui.QFileDialog()
# dialog.setFilter(dialog.filter() | QtCore.QDir.Hidden)
# dialog.setDefaultSuffix('json')
# dialog.setAcceptMode(QtGui.QFileDialog.AcceptSave)
# dialog.setNameFilters(['JSON (*.json)'])
# if dialog.exec_() == QtGui.QDialog.Accepted:
# print(dialog.selectedFiles())
# else:
# print('Cancelled')
####
fileName = QtGui.QFileDialog.getSaveFileName(None, 'Export as CSV', './untitled.csv', 'Comma-Separated Values files (*.csv)')
fileName = unicode(fileName)
if fileName:
# if os.path.splitext(fileName)[1] != '.csv':
# fileName += '.csv'
with open(fileName, 'wb') as csvfile:
csv_writer = csv.writer(csvfile, delimiter=',',
quotechar='"', quoting=csv.QUOTE_MINIMAL)
for file_name, cov_rate in zip(self.veg_data.picture_list, self.veg_data.fraction_list):
csv_writer.writerow([file_name, cov_rate])
print fileName
def detect_blackboard(self, img):
height = img.shape[0]
width = img.shape[1]
# Get the bounding box of blackboard
img_HSV = cv2.cvtColor(img, cv2.cv.CV_BGR2HSV)
x0, y0, x1, y1 = detectBlackboard(img_HSV)
x0 *= width
x1 *= width
y0 *= height
y1 = (x1-x0) * 1.5 + y0
print x0, y0, x1, y1
bbox = [x0, y0, x1, y1]
return bbox
def detect_blackboard_at_present(self):
img = self.veg_data.img_orig
if img is None:
return
self.veg_data.bbox = self.detect_blackboard(img)
# Visulization
self.draw_bbox(self.veg_data.bbox)
def estimate_coverage_at_present(self):
img = self.veg_data.img_orig
if img is None:
return
bbox = self.veg_data.bbox
#print 'bbox', bbox
if not bbox:
return
fraction, segments, hist, response, raw_response = \
self.estimate_coverage(img, bbox, fast_mode=self.veg_data.fast_mode)
# update list
self.veg_data.fraction_list[self.veg_data.current_item_idx] = fraction
self.veg_data.fraction = fraction
self.tableWidget_file_list.item(self.veg_data.current_item_idx, 1).setText(str(fraction * 100))
# save cache
file_name = self.veg_data.picture_list[self.veg_data.current_item_idx]
file_name = os.path.basename(file_name)
file_name = os.path.splitext(file_name)[0]
cv2.imwrite(os.path.join(self.veg_data.cache_dir, file_name + '_segments.tiff'), np.uint8(segments))
cv2.imwrite(os.path.join(self.veg_data.cache_dir, file_name + '_segments.pbm'), np.uint8(segments))
# Visulization
self.lcdNumber.display(float(fraction) * 100.0)
self.progressBar.setValue(90)
QtGui.QApplication.processEvents()
self.update_segment_viewer(segments)
self.update_response_viewer(response)
self.update_raw_response_viewer(raw_response)
self.update_hist_viewer(hist)
self.update_exemplar_viewer(raw_response > THRES_RAW)
self.progressBar.setValue(100)
QtGui.QApplication.processEvents()
self.progressBar.hide()
# Reactivate the file list tablewidget
self.tableWidget_file_list.setEnabled(True)
def estimate_coverage(self, img, bbox, fast_mode=False):
self.progressBar.show()
self.progressBar.setValue(10)
QtGui.QApplication.processEvents()
x0 = bbox[0]
y0 = bbox[1]
x1 = bbox[2]
y1 = bbox[3]
img_bboard = img[int(y0):int(y1), int(x0):int(x1), :]
response, raw_response, exemplar_colors = \
classify(img_bboard, THRES_RAW, fast_mode=fast_mode)
self.progressBar.setValue(65)
QtGui.QApplication.processEvents()
fraction = 0.0
if response is not None:
segments = (response > THRES_KMS)
fraction = np.mean(segments)
hist = np.float32(segments).mean(1)
else:
hist = None
return fraction, segments, hist, response, raw_response
# Make blackboard red
# r1 = r[int(y0):int(y1), int(x0):int(x1)]
# r1 = np.uint8(np.multiply(r1, coverage)
# + np.multiply(r1, ~coverage) * 0.4 + ~coverage * (255*0.6))
# r[int(y0):int(y1), int(x0):int(x1)] = r1
# img2 = cv2.merge([r,g,b])
def run_all(self):
if len(self.veg_data.picture_list) > 0:
self.progressBar_batch.setMaximum(len(self.veg_data.picture_list))
# # Disable items first to prevent user's interacting
# # http://stackoverflow.com/questions/21001144/disable-user-to-click-over-qtablewidget
# for i, p in enumerate(self.veg_data.picture_list):
# item = self.tableWidget_file_list.item(i,0)
# item.setFlags(item.flags() & ~QtCore.Qt.ItemIsEnabled)
# item = self.tableWidget_file_list.item(i,1)
# item.setFlags(item.flags() & ~QtCore.Qt.ItemIsEnabled)
self.tableWidget_file_list.setEnabled(False)
for i in range(len(self.veg_data.picture_list)):
self.tableWidget_file_list.selectRow(i) # This line need to be reimplemented,
# Different image shouldn't be selected though GUI
self.run_one(fast_mode=True)
self.progressBar_batch.setValue(i+1)
QtGui.QApplication.processEvents()
self.tableWidget_file_list.setEnabled(True)
# # Resume user's interacting
# for i, p in enumerate(self.veg_data.picture_list):
# item = self.tableWidget_file_list.item(i,0)
# item.setFlags(item.flags() | QtCore.Qt.ItemIsEnabled)
# item = self.tableWidget_file_list.item(i,1)
# item.setFlags(item.flags() | QtCore.Qt.ItemIsEnabled)
def run_one_at_present(self):
self.tableWidget_file_list.setEnabled(False)
self.detect_blackboard_at_present()
self.estimate_coverage_at_present()
self.tableWidget_file_list.setEnabled(True)
def run_one(self,fast_mode=True):
# Disactive the file list tablewidget
self.tableWidget_file_list.setEnabled(False)
img = self.veg_data.img_orig
bbox = self.detect_blackboard(img)
# Visulization
self.draw_bbox(bbox)
fraction, segments, hist, response, raw_response = \
self.estimate_coverage(img, bbox, fast_mode=fast_mode)
# update list
self.veg_data.fraction_list[self.veg_data.current_item_idx] = fraction
self.veg_data.fraction = fraction
self.tableWidget_file_list.item(self.veg_data.current_item_idx, 1).setText(str(fraction * 100))
# Visulization
self.lcdNumber.display(float(fraction) * 100.0)
self.progressBar.setValue(90)
QtGui.QApplication.processEvents()
self.update_segment_viewer(segments)
self.update_response_viewer(response)
self.update_raw_response_viewer(raw_response)
self.update_hist_viewer(hist)
self.update_exemplar_viewer(raw_response > THRES_RAW)
self.progressBar.setValue(100)
QtGui.QApplication.processEvents()
self.progressBar.hide()
# Reactivate the file list tablewidget
self.tableWidget_file_list.setEnabled(True)
def draw_bbox(self, bbox):
x0 = bbox[0]
y0 = bbox[1]
x1 = bbox[2]
y1 = bbox[3]
self.axs['image_viewer'].add_patch(
plt.Rectangle((x0, y0),
(x1 - x0),
(y1 - y0),
fill=False,
edgecolor='red', linewidth=2.0)
)
self.axs['image_viewer'].text(x0, y0 - 30,
"blackboard",
bbox=dict(facecolor='red', alpha=0.5),
fontsize=12, color='white')
self.mw_image.draw()
def update_segment_viewer(self, segments):
self.axs['segment_viewer'].cla()
if segments is None:
self.mw_response.draw()
return
self.axs['segment_viewer'].imshow(segments, cmap='gray', interpolation='nearest')
self.axs['segment_viewer'].set_title('Predicted vegetation')
self.mw_response.draw()
def update_raw_response_viewer(self, raw_response):
self.axs['raw_response_viewer'].cla()
if raw_response is None:
self.mw_response.draw()
return
self.axs['raw_response_viewer'].imshow(-raw_response, interpolation='nearest')
self.axs['raw_response_viewer'].set_title('LBP+SVM response map')
self.mw_response.draw()
def update_exemplar_viewer(self, exemplar):
self.axs['exemplar_viewer'].cla()
if exemplar is None:
self.mw_response.draw()
return
self.axs['exemplar_viewer'].imshow(exemplar, cmap='gray', interpolation='nearest')
self.axs['exemplar_viewer'].set_title('BBoard exemplar regions')
self.mw_response.draw()
def update_response_viewer(self, response):
self.axs['response_viewer'].cla()
if response is None:
self.mw_response.draw()
return
self.axs['response_viewer'].imshow(np.log(response))
self.axs['response_viewer'].set_title('KMeans loss map')
self.mw_response.draw()
def update_hist_viewer(self, hist):
self.axs['hist_viewer'].cla()
# print "hist is None:", hist is None
# print hist.shape
if hist is None or hist.shape[0] == 0:
self.axs['hist_viewer'].text(0.1, 0,
"Unknown",
fontsize=15, weight='bold', color='red')
self.mw_hist.draw()
return
# print hist.shape
heights = range(hist.shape[0])
heights.reverse()
self.axs['hist_viewer'].fill_betweenx(heights, hist, x2=0.0, color='#76b900', linewidth=1.0)
self.axs['hist_viewer'].set_xlim([0.0, 1.0])
self.axs['hist_viewer'].set_ylim([0.0, hist.shape[0]])
self.axs['hist_viewer'].set_xlabel('coverage rate')
self.axs['hist_viewer'].set_ylabel('height (/px)')
self.axs['hist_viewer'].set_title('Coverage rate vs. Height ')
self.axs['hist_viewer'].set_axis_bgcolor('#444444')
self.axs['hist_viewer'].grid(True, color='white')
self.axs['hist_viewer'].text(0.1, 0,
"overall\ncoverage:\n{0:.1f}%".format(np.mean(hist) * 100),
fontsize=15, weight='bold', color='white')
#self.mw_hist.getFigure().tight_layout() # Failed when too narrow
self.mw_hist.getFigure().subplots_adjust(left=0.4, right=0.9)
self.mw_hist.getFigure().subplots_adjust(left=0.4, right=0.9)
self.mw_hist.draw()
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
self.setGeometry(100, 100, 600, 900)
self.centralWidget = QWidget()
# GrphicsWidget()
layout = QHBoxLayout(self.centralWidget)
self.scrollArea = QScrollArea(self)
# gwidget=GrphicsWidget()
self.mw = MatplotlibWidget(size=(3.0, 40.0), dpi=100)
lplot = self.mw.getFigure().add_subplot(121)
# print(dir(self.mw.getFigure()))
# self.mw.getFigure().set_axes([0.85, 0.1, 0.075, 0.8])
self.ax = self.mw.getFigure().gca()
self.ax.set_position([0.1, 0.05, 0.8, 0.94])
self.ax.invert_yaxis()
# l, b, w, h = self.ax.get_position().bounds
# print(l, b, w, h)
self.mw.draw()
# self.plotlayout.addWidget(self.mw)
self.scrollArea.setWidget(self.mw)
layout.addWidget(self.scrollArea)
self.setCentralWidget(self.centralWidget)
self.lastree = LasTree()
self.logtree = LasTree()
self.wellLoad()
self.logtree.set_files(['GR', 'BS'])
self.logtree.buildTreeWidget()
self.logtree.tree.itemSelectionChanged.connect(self.logPlot)
self.createDockWindows()
# self.logFileList.itemSelectionChanged.connect(self.lasLoad)
# if not self.las_just_selected:
# self.logList.itemSelectionChanged.connect(self.logPlot)
self.setWindowTitle("Loggy")
# self.newLetter()
def wellLoad(self):
self.wellFolder = r'D:\Ameyem Office\Projects\Cairn\W1\LAS\\'
self.files = np.array(os.listdir(self.wellFolder)[:])
files_w_path = [self.wellFolder + f for f in self.files]
cols = []
self.files = np.array(os.listdir(self.wellFolder)[:])
self.lastree.set_files(self.files)
self.lastree.buildTreeWidget()
self.lastree.tree.itemSelectionChanged.connect(self.lasLoad)
self.lasLoadThread = LasLoadThread(files=files_w_path)
# def lasBackgroundLoad():
def lasLoad(self):
las_name = self.lastree.tree.selectedItems()[0].text(
0) #self.logFileList.selectedItems()[0].text()
if las_name in ['TVD', 'MD', 'LWD', 'WireLine']:
return
findex = np.where(self.files == las_name)[0][0]
# print(findex)
Loaded = False
while (not Loaded):
if (findex < len(self.lasLoadThread.Lases)):
self.las = self.lasLoadThread.Lases[findex]
Loaded = True
self.logtree.tree.clear()
# print('hi')
else:
# print('hello')
# self.logtree.addItems(['Loading....'])
time.sleep(1)
if len(self.logtree.tree.selectedItems()) > 0:
item = self.logtree.tree.selectedItems()[0]
# print(dir(item))
item.setSelected = False
if not (len(self.las.keys()) < 1):
# self.logtree = LasTree(self.las.keys())
self.logtree.set_files(self.las.keys())
self.logtree.buildTreeWidget()
dcol = self.las.keys()[find_depth_indx(self.las)]
self.depth_col = str_array2floats(self.las[dcol])
# else:
# self.las_just_selected = True
def logPlot(self):
# print(self.mw.getFigure().)
# pass
# if not self.las_just_selected:
if len(self.logtree.tree.selectedItems()) > 0:
keycol = self.logtree.tree.selectedItems()[0].text(0)
try:
self.log_col = str_array2floats(self.las[keycol])
self.ax = LogPlot.basicPlot(self.ax,
self.depth_col,
self.log_col,
lcolor='#800000')
except:
print('Unable to convert log to floats')
self.mw.draw()
def set_category(self):
# qt_app = QApplication(sys.argv)
mnomonicsfile = self.wellFolder + '../../mnemonics.txt'
# print(self.logtree.treeview_dict)
# set_category_app = Categorize(self.logtree.treeview_dict,mnomonicsfile)
print('*************************************************')
print(self.logtree.treeview_dict)
category_window = Categorize(self)
category_window.set_params(self.logtree, mnomonicsfile)
category_window.show()
# self.logtree.tree.clear()
# self.logtree.buildTreeWidget()
# set_category_app.run()
# self.logtree.buildTreeWidget()
def createDockWindows(self):
dock = QDockWidget("Log Files", self)
dock.setAllowedAreas(Qt.LeftDockWidgetArea | Qt.RightDockWidgetArea)
dock.setWidget(self.lastree.tree)
#
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
self.set_category_button = QPushButton('Set Category', self)
# self.layout.addWidget(self.logtree.tree)
dock = QDockWidget("Set", self)
dock.setWidget(self.set_category_button)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
dock = QDockWidget("Logs", self)
dock.setWidget(self.logtree.tree)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
self.set_category_button.clicked.connect(self.set_category)
class ScopeWindows(QtGui.QWidget):
def __init__(self, args):
super().__init__()
self.setObjectName('I')
self.main_layout = main_layout = QtGui.QVBoxLayout()
self.setLayout(main_layout)
self.plot_widget = MatplotlibWidget()
btn_layout = QtGui.QHBoxLayout()
self.startstop = QtGui.QPushButton(self)
self.startstop.setText('Start')
self.label = QtGui.QLabel(self)
self.display_label(0)
self.save_btn = QtGui.QPushButton('Save', self)
btn_layout.addWidget(self.startstop)
btn_layout.addWidget(self.save_btn)
btn_layout.addWidget(self.label)
main_layout.addWidget(self.plot_widget)
main_layout.addLayout(btn_layout)
self.startstop.clicked.connect(self.on_startstop_clicked)
self.save_btn.clicked.connect(self.save_to_file)
print('INIT')
@QtCore.pyqtSlot()
def on_startstop_clicked(self):
if self.startstop.text() == 'Start':
self.startstop.setText('Stop')
self.thread = MyThread(self.display_label)
self.thread.start()
elif self.startstop.text() == 'Stop':
self.startstop.setText('Start')
self.thread.running = False
@QtCore.pyqtSlot()
def save_to_file(self):
# See https://doc.qt.io/qtforpython/PySide2/QtWidgets/QFileDialog.html#PySide2.QtWidgets.PySide2.QtWidgets.QFileDialog.getSaveFileName
file_name = QtGui.QFileDialog.getSaveFileName(self.save_btn,
'Save file', "",
"Data file (*.txt)")
print(file_name)
def plot(self, param=0):
fig = self.plot_widget.getFigure()
fig.clf()
x = np.linspace(0, 1, 1001)
y = np.sin(2 * np.pi * x * param)
ax = fig.subplots()
ax.plot(x, y)
ax.set_ylim(-1, 1)
fig.canvas.draw()
def display_label(self, val):
self.plot(val)
dec = val % 1
int_part = int(val - dec)
seconde = int_part % 60
minutes = int_part // 60
self.label.setText('{:02d}:{:02d}:{:02d}'.format(
minutes, seconde, int(100 * dec)))
class SplatalogueAssignmentWindow(QDialog):
FACE_COLOR = "#626262"
EXPERIMENT_EDGE_COLOR = 'black'
def __init__(self, experiment, chemical, selection_widget):
super(SplatalogueAssignmentWindow, self).__init__()
self.setWindowIcon(QIcon(QPixmap(images.LOGO_ICON)))
self.setAttribute(Qt.WA_DeleteOnClose)
self.setWindowTitle("Splatalogue Assignment Window")
self.resize(1500, 750)
''' Data '''
self.experiment = experiment
self.chemical = chemical
''' Widgets '''
self.info_widget = SplatalogueInfoWidget(chemical)
self.table_widget = QTableWidget()
self.matplot_widget = MatplotlibWidget()
self.selection_widget = selection_widget
'''Colors'''
self.color___experiment_edge = SplatalogueAssignmentWindow.EXPERIMENT_EDGE_COLOR
self.color___face_color = SplatalogueAssignmentWindow.FACE_COLOR
self.__setup__()
def validate(self):
# Validate all lines for now
for line in self.chemical.lines:
line.validated = True
match = self.chemical.validate_chemical(self.experiment)
self.selection_widget.add_row(match)
self.close()
self.setResult(1)
def __setup__(self):
self.setStyleSheet(
"background-color: rgb(48, 48, 48);\ngridline-color: rgb(195, 195, 195);\ncolor: rgb(255, 255, 255);\n")
self.matplot_widget.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.__setup_layout()
self.__populate_graph()
self.__populate_table()
def __setup_layout(self):
outer_layout = QVBoxLayout()
''' Inner Grid Layout '''
layout = QGridLayout()
left_layout = QVBoxLayout()
left_layout.addWidget(self.info_widget)
left_layout.addWidget(self.table_widget)
layout.addLayout(left_layout, 0, 0)
layout.addWidget(self.matplot_widget, 0, 1)
''' Bottom Frame '''
bottom_frame = QFrame()
frame_layout = QHBoxLayout()
# --- Widgets --- #
validate_btn = QPushButton(QIcon(images.VALIDATE_ICON), "Validate")
cancel_btn = QPushButton("Cancel")
# -- Settings -- #
bottom_frame.setFrameShadow(QFrame.Raised)
bottom_frame.setFrameShape(QFrame.StyledPanel)
# -- Add Widgets -- #
frame_layout.addSpacerItem(QSpacerItem(20, 40, QSizePolicy.Expanding, QSizePolicy.Minimum))
frame_layout.addWidget(validate_btn)
frame_layout.addWidget(cancel_btn)
bottom_frame.setLayout(frame_layout)
# -- Button Connections -- #
validate_btn.clicked.connect(self.validate)
cancel_btn.clicked.connect(self.close)
''' Add '''
outer_layout.addLayout(layout)
outer_layout.addWidget(bottom_frame)
self.setLayout(outer_layout)
def __populate_graph(self):
"""
:return:
"""
figure = self.matplot_widget.getFigure()
figure.set_facecolor(self.color___face_color)
''' Experiment Subplot '''
frequencies, intensities = self.experiment.get_experiment_frequencies_intensities_list()
max_freq = max(frequencies)
min_freq = min(frequencies)
self.subplot_1 = figure.add_subplot(311,
axisbg='white',
title='Experiment: ' + self.experiment.name + ' Peaks')
self.subplot_1.bar(frequencies, intensities, width=0.02, edgecolor=self.color___experiment_edge)
''' Matches Subplot '''
self.subplot_2 = figure.add_subplot(312,
axisbg='white',
sharex=self.subplot_1)
for l in self.chemical.lines:
# if l.intensity <= 0:
self.subplot_2.bar(l.frequency, 1, width=0.02, edgecolor='blue')
# else:
# self.subplot_2.bar(l.frequency, l.intensity, width=0.02, edgecolor='blue')
''' Chemical Subplot '''
self.subplot_3 = figure.add_subplot(313,
axisbg='white',
sharex=self.subplot_1)
lines = self.chemical.get_all_lines(min_freq, max_freq)
for l in lines:
if l.intensity is None: # or l.intensity <= 1:
self.subplot_3.bar(l.frequency, 1, width=0.02, edgecolor='black')
else:
self.subplot_3.bar(l.frequency, l.intensity, width=0.02, edgecolor='blue')
''' Adjustments '''
# self.matplot_widget.getFigure().subplots_adjust(top=0.95,
# bottom = 0.07,
# left = 0.05,
# right = 0.97,
# hspace=0.35,)
self.matplot_widget.draw()
def __populate_table(self):
"""
:return:
"""
row_count = self.chemical.N
column_count = 5
# Format Table
self.table_widget.setRowCount(row_count)
self.table_widget.setColumnCount(column_count)
self.table_widget.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.MinimumExpanding)
self.table_widget.setSortingEnabled(True)
# Set Header Label
self.table_widget.setHorizontalHeaderLabels(["EXP-Frequency", "Frequency", "Intensity", \
"Units", "Linelist", ])
for i in range(0, row_count):
# Get Row Data
# exp_freq = self.chemical.matched_lines[i]
exp_freq = get_frequency(conn, self.chemical.matched_lines[i])
frequency = self.chemical.lines[i].frequency
intensity = self.chemical.lines[i].intensity
line_list = self.chemical.lines[i].line_list
units = self.chemical.lines[i].units
# Convert Data to QTableWidgetItem
exp_freq_item = QTableWidgetItem(str(exp_freq))
frequency_item = QTableWidgetItem(str(frequency))
intensity_item = QTableWidgetItem(str(intensity))
line_list_item = QTableWidgetItem(str(line_list))
units_item = QTableWidgetItem(str(units))
self.table_widget.setItem(i, 0, exp_freq_item)
self.table_widget.setItem(i, 1, frequency_item)
self.table_widget.setItem(i, 2, intensity_item)
self.table_widget.setItem(i, 3, units_item)
self.table_widget.setItem(i, 4, line_list_item)
# --- Set Size Policy --- #
self.table_widget.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.MinimumExpanding)
self.table_widget.setMaximumWidth(600)
self.table_widget.setFixedWidth(500)
self.table_widget.resizeColumnsToContents()
self.table_widget.resizeRowsToContents()
# -- Additional Options -- #
self.table_widget.setEditTriggers(QTableWidget.NoEditTriggers) # disallow in-table editing
class VESViewer(QMainWindow):
curve = []
Image = []
listitem = []
imfolder = r"D:\Ameyem Office\Geoservices\Digitizer\\"
zoom_fact = 1
fileName = ''
pick_type = 'digitize'
depth_pix_lims = []
prop_pix_lims = []
init_thicks = [1, 10, 15, 175]
init_res = [20, 4, 60, 200, 2000]
proj_path = r'D:/Ameyem Office/Projects/Electric surveys/Easwar files/Mahoba/mohaba.resp/'
def __init__(self):
super(VESViewer, self).__init__()
self.createActions()
self.createMenus()
win = QWidget()
self.setCentralWidget(win)
self.plotlayout = QHBoxLayout(self)
self.init_m = np.append(self.init_res, self.init_thicks)
self.datapath = self.proj_path + 'VESData/'
# creates plot
# self.plot = pg.PlotWidget()
self.mw = MatplotlibWidget()
self.subplot1 = self.mw.getFigure().add_subplot(121)
self.subplot2 = self.mw.getFigure().add_subplot(122)
self.mw.draw()
self.plotlayout.addWidget(self.mw)
# mltoolbar=self.mw.get_ToolBar()
layout = BorderLayout()
layout.add(self.plotlayout, BorderLayout.Center)
self.list_w = QListWidget()
# self.listitem.append(QListWidgetItem('Welcome to ResLayer!!!'))
self.list_w.setFrameStyle(QFrame.Box | QFrame.Raised)
layout.add(QWidgetItem(self.list_w), BorderLayout.West)
win.setLayout(layout)
# self.list_w.addItem(self.listitem[0])
# self.list_w.itemClicked.connect(self.OnSingleClick)
self.list_w.itemSelectionChanged.connect(self.OnSingleClick)
self.setWindowTitle("Border Layout")
mypen = pg.mkPen('y', width=1)
# self.curve = self.plot.plot(x=[], y=[], pen=mypen)
# self.plot.addItem(self.curve)
files = os.listdir(self.datapath)
for f in files:
self.listitem.append(QListWidgetItem(f[:-4]))
self.list_w.addItem(self.listitem[-1])
self.vdf = pd.read_csv(self.datapath + files[0], header=None)
self.plotVES()
def onMouseMoved(self, point):
# print(point)
p = self.plot.plotItem.vb.mapSceneToView(point)
self.statusBar().showMessage("{}-{}".format(p.x(), p.y()))
def about(self):
QMessageBox.about(
self, "About Image Viewer",
"<p>The <b>Image Viewer</b> example shows how to combine "
"(QScrollArea.widgetResizable), can be used to implement "
"zooming and scaling features.</p>"
"<p>In addition the example shows how to use QPainter to "
"print an image.</p>")
def dialog_critical(self, s):
dlg = QMessageBox(self)
dlg.setText(s)
dlg.setIcon(QMessageBox.Critical)
dlg.show()
def file_open(self):
# path, _ = QFileDialog.getOpenFileName(self, "Open file", "", "CSV documents (*.dat);All files (*.*)")
path = r'D:/Ameyem Office/Projects/Electric surveys/Easwar files/Mahoba/VES_data/112.dat'
try:
self.vdf = pd.read_csv(path, header=None)
except Exception as e:
self.dialog_critical(str(e))
else:
self.path = path
self.plotVES(self.vdf)
def createActions(self):
self.exitAct = QAction("E&xit",
self,
shortcut="Ctrl+Q",
triggered=self.close)
self.openFileAct = QAction("&Open",
self,
shortcut="Ctrl+O",
triggered=self.file_open)
self.aboutAct = QAction("&About", self, triggered=self.about)
self.do_inversion_action = QAction(QIcon(
os.path.join('ves_imgs', 'invert-tool.png')),
"&Invert",
self,
shortcut="Ctrl+I",
triggered=self.doVESinv)
self.do_inversion_action.setStatusTip("Run inversion")
# self.do_inversion_action.triggered.connect(self.doVESinv)
# openFileAct = QAction(QIcon(os.path.join('images', 'blue-folder-open-document.png')), "Open file...", self)
# open_file_action.setStatusTip("Open file")
# open_file_action.triggered.connect(self.file_open)
# file_menu.addAction(open_file_action)
# file_toolbar.addAction(open_file_action)
def createMenus(self):
self.fileMenu = QMenu("&File", self)
# self.fileMenu.addAction(self.openAct)
# self.fileMenu.addAction(self.printAct)
self.fileMenu.addSeparator()
self.fileMenu.addAction(self.openFileAct)
self.fileMenu.addAction(self.exitAct)
self.helpMenu = QMenu("&Help", self)
self.helpMenu.addAction(self.aboutAct)
# self.helpMenu.addAction(self.aboutQtAct)
self.menuBar().addMenu(self.fileMenu)
# self.menuBar().addMenu(self.viewMenu)
# self.menuBar().addMenu(self.digitizeMenu)
self.menuBar().addMenu(self.helpMenu)
self.file_toolbar = QToolBar("File")
self.file_toolbar.setIconSize(QSize(24, 24))
self.addToolBar(self.file_toolbar)
self.fileMenu.addAction(self.do_inversion_action)
self.file_toolbar.addAction(self.do_inversion_action)
def OnSingleClick(self):
print('\nItems selected...', end=' ')
# self.curve=self.plot.plot(x=[0.9 ,300], y=[1, 10000], size=1, pen=pg.mkPen(None),clear=True)
# self.plot2.plot(x=[0.9 ,300], y=[1, 10000], size=1, pen=pg.mkPen(None),clear=True)
for item in self.list_w.selectedItems():
vespoint_name = item.text()
print(vespoint_name, end=' ')
self.vdf = pd.read_csv(self.datapath + vespoint_name + '.dat',
header=None)
# # self.plot.close()
# # self.plot = pg.PlotWidget()
self.plotVES()
# self.plotLocationPanel(locations4panel)
def plotVES(self):
# self.curve=
self.subplot1.cla()
self.subplot1.loglog(self.vdf[0], self.vdf[1], '*', basex=10)
# self.subplot1.grid(True)
self.subplot1.grid(b=True, which='major', color='grey', linestyle='-')
self.subplot1.grid(b=True, which='minor')
self.subplot1.set_title('Apparent resisitivity log ')
self.subplot1.set_xlabel('Distance (m)')
self.subplot1.set_ylabel('Apparent Resistivity (ohm-m)')
self.subplot1.set_xlim(1, 1000)
self.subplot1.set_ylim(1, 10000)
self.subplot2.cla()
# self.subplot2.loglog(self.vdf[0],self.vdf[1],'*', basex=10)
# self.subplot1.grid(True)
lr = int(1 + len(self.init_m) / 2)
lt = int(len(self.init_m) / 2)
r = np.append(self.init_m[:lr], np.nan)
t = np.append(np.append(0.01, self.init_m[-lt:]), 1000)
self.subplot2.grid(b=True, which='major', color='grey', linestyle='-')
self.subplot2.grid(b=True, which='minor')
self.subplot2.set_title('Layer model')
self.subplot2.set_xlabel('Resistivity (ohm-m)')
self.subplot2.set_ylabel('Depth (m)')
# self.subplot2.invert_yaxis()
self.subplot2.set_xlim(1, 6000)
self.subplot2.set_ylim(0.1, 500)
self.subplot2.step(r,
np.cumsum(t),
'k',
dashes=[5, 5, 5, 5],
linewidth=2)
self.subplot2.set_xscale('log')
self.subplot2.set_yscale('log')
self.subplot2.invert_yaxis()
self.mw.draw()
def VESInvplot(self, x, roa, roaf, m, mf):
lr = int(1 + len(mf) / 2)
lt = int(len(mf) / 2)
rf = np.append(mf[:lr], np.nan)
tf = np.append(np.append(0.01, mf[-lt:]), 1000)
self.subplot1.loglog(x, roaf, '-r', basex=10)
self.subplot2.step(rf, np.cumsum(tf), 'r')
self.mw.draw()
def doVESinv(self):
method = 'ghosh'
x = self.vdf[0].values
roa = self.vdf[1].values
# ri= [100, 30, 20., 4.];
# ti =[9, 61 ,50];
m = np.append(self.init_res, self.init_thicks)
mf, roaf = VES1dInv(m, x, roa, method=method, maxiteration=100)
# VESplot(self.mw,x,roa,roaf,m,mf)
self.VESInvplot(x, roa, roaf, m, mf)
class PlotWidget(QWidget):
"""
This class inherited from pyqtgraphs Plotwidget and MatplotlibWidget and adds additional compononets like:
1) Cross-hair to view X, Y coordinates
2) Changing plot-styles interactively
"""
def __init__(self,parent=None,matplotlib=False):
QWidget.__init__(self,parent)
self.matplotlib=matplotlib
self.mplPlotData={}
self.mplErrorData={}
self.xLabelFontSize=10
self.yLabelFontSize=10
self.titleFontSize=12
self.xLabel='x'
self.yLabel='y'
self.title='Plot'
self.createPlotWidget()
self.data={}
self.dataErrPos={}
self.dataErrNeg={}
self.dataErr={}
self.err={}
self.data_num=0
self.yerr={}
self.fit={}
def createPlotWidget(self):
"""
Creates the plotWidget
"""
self.vbLayout=QVBoxLayout(self)
self.plotLayout=pg.LayoutWidget()
self.vbLayout.addWidget(self.plotLayout)
row=0
col=0
lineWidthLabel=QLabel('Line width')
self.lineWidthLineEdit=QLineEdit('2')
self.lineWidthLineEdit.returnPressed.connect(self.updatePlot)
pointSizeLabel=QLabel('Point size')
self.pointSizeLineEdit=QLineEdit('5')
self.pointSizeLineEdit.returnPressed.connect(self.updatePlot)
self.bgCheckBox=QCheckBox('White BG')
self.bgCheckBox.stateChanged.connect(self.bgCheckBoxChanged)
self.errorbarCheckBox=QCheckBox('Errorbar')
self.errorbarCheckBox.stateChanged.connect(self.errorbarChanged)
self.plotLayout.addWidget(lineWidthLabel,row=row,col=col)
col+=1
self.plotLayout.addWidget(self.lineWidthLineEdit,row=row,col=col)
col+=1
self.plotLayout.addWidget(pointSizeLabel,row=row,col=col)
col+=1
self.plotLayout.addWidget(self.pointSizeLineEdit,row=row,col=col)
col+=1
self.plotLayout.addWidget(self.bgCheckBox,row=row,col=col)
col+=1
self.plotLayout.addWidget(self.errorbarCheckBox,row=row,col=col)
col=0
row+=1
if self.matplotlib:
self.plotWidget=MatplotlibWidget()
self.subplot=self.plotWidget.getFigure().add_subplot(111)
self.plotWidget.fig.set_tight_layout(True)
self.plotWidget.draw()
else:
self.plotWidget=pg.PlotWidget()
self.plotWidget.getPlotItem().vb.scene().sigMouseMoved.connect(self.mouseMoved)
self.legendItem=pg.LegendItem(offset=(0.0,1.0))
self.legendItem.setParentItem(self.plotWidget.getPlotItem())
self.plotLayout.addWidget(self.plotWidget,row=row,col=col,colspan=6)
row+=1
col=0
self.crosshairLabel=QLabel(u'X={: .5f} , y={: .5f}'.format(0.0,0.0))
self.xLogCheckBox=QCheckBox('LogX')
self.xLogCheckBox.setTristate(False)
self.xLogCheckBox.stateChanged.connect(self.updatePlot)
self.yLogCheckBox=QCheckBox('LogY')
self.yLogCheckBox.setTristate(False)
self.yLogCheckBox.stateChanged.connect(self.updatePlot)
if not self.matplotlib:
self.plotLayout.addWidget(self.crosshairLabel,row=row,col=col,colspan=4)
self.plotLayout.addWidget(self.xLogCheckBox,row=row,col=4)
self.plotLayout.addWidget(self.yLogCheckBox,row=row,col=5)
def bgCheckBoxChanged(self):
if self.bgCheckBox.isChecked():
self.plotWidget.setBackground('w')
self.plotWidget.getAxis('left').setPen('k')
self.plotWidget.getAxis('left').setTextPen('k')
self.plotWidget.getAxis('bottom').setPen('k')
self.plotWidget.getAxis('bottom').setTextPen('k')
else:
self.plotWidget.setBackground('k')
self.plotWidget.getAxis('left').setPen('w')
self.plotWidget.getAxis('left').setTextPen('w')
self.plotWidget.getAxis('bottom').setPen('w')
self.plotWidget.getAxis('bottom').setTextPen('w')
def mouseMoved(self,pos):
try:
pointer=self.plotWidget.getPlotItem().vb.mapSceneToView(pos)
x,y=pointer.x(),pointer.y()
if self.plotWidget.getPlotItem().ctrl.logXCheck.isChecked():
x=10**x
if self.plotWidget.getPlotItem().ctrl.logYCheck.isChecked():
y=10**y
self.crosshairLabel.setText('X={: 10.5f}, Y={: 10.5e}'.format(x,y))
# if x>1e-3 and y>1e-3:
# self.crosshairLabel.setText(u'X={: .5f} , Y={: .5f}'.format(x,y))
# if x<1e-3 and y>1e-3:
# self.crosshairLabel.setText(u'X={: .3e} , Y={: .5f}'.format(x,y))
# if x>1e-3 and y<1e-3:
# self.crosshairLabel.setText(u'X={: .5f} , Y={: .3e}'.format(x,y))
# if x<1e-3 and y<1e-3:
# self.crosshairLabel.setText(u'X={: .3e} , Y={: .3e}'.format(x,y))
except:
pass
#self.crosshairLabel.setText(u'X=%+0.5f, Y=%+0.5e'%(x,y))
def add_data(self,x,y,yerr=None,name=None,fit=False,color=None):
"""
Adds data into the plot where:
x=Array of x-values
y=Array of y-values
yerr=Array of yerr-values. If None yerr will be set to sqrt(y)
name=any string to be used for the key to put the data
fit= True if the data corresponds to a fit
"""
if not (isinstance(yerr,list) or isinstance(yerr,np.ndarray)):
yerr=np.ones_like(y)
x=np.array(x)
y=np.array(y)
if len(x)==len(y) and len(y)==len(yerr):
if name is None:
dname=str(self.data_num)
else:
dname=name
if np.all(yerr==1):
self.yerr[dname]=False
else:
self.yerr[dname]=True
self.fit[dname]=fit
if dname in self.data.keys():
if color is None:
color=self.data[dname].opts['symbolPen'].color()
pen=pg.mkPen(color=color,width=float(self.lineWidthLineEdit.text()))
symbol='o'
if self.fit[dname]:
symbol=None
self.data[dname].setData(x,y,pen=pen,symbol=symbol,symbolSize=float(self.pointSizeLineEdit.text()),symbolPen=pg.mkPen(color=color),symbolBrush=pg.mkBrush(color=color))
#self.data[dname].setPen(pg.mkPen(color=pg.intColor(np.random.choice(range(0,210),1)[0]),width=int(self.lineWidthLineEdit.text())))
#if self.errorbarCheckBox.isChecked():
# self.dataErrPos[dname].setData(x,np.where(y+yerr/2.0>0,y+yerr/2.0,y))
# self.dataErrNeg[dname].setData(x,np.where(y-yerr/2.0>0,y-yerr/2.0,y))
self.err[dname]= yerr
self.dataErr[dname].setData(x=x, y=y, top=self.err[dname], bottom=self.err[dname], pen='w')# beam=min(np.abs(x))*0.01*float(self.pointSizeLineEdit.text()),pen='w')
#self.dataErr[dname].setCurves(self.dataErrPos[dname],self.dataErrNeg[dname])
else:
if color is None:
color=pg.intColor(np.random.choice(range(0,210),1)[0])
#color=self.data[dname].opts['pen'].color()
pen=pg.mkPen(color=color,width=float(self.lineWidthLineEdit.text()))
symbol='o'
if self.fit[dname]:
symbol=None
self.data[dname]=pg.PlotDataItem(x,y,pen=pen,symbol=symbol,symbolSize=float(self.pointSizeLineEdit.text()),symbolPen=pg.mkPen(color=color),symbolBrush=pg.mkBrush(color=color))
self.dataErr[dname] = pg.ErrorBarItem()
self.err[dname]=yerr
self.dataErr[dname].setData(x=x,y=y,top=self.err[dname],bottom=self.err[dname], pen='w')# beam=min(np.abs(x))*0.01*float(self.pointSizeLineEdit.text()),pen='w')
self.data[dname].curve.setClickable(True,width=10)
self.data[dname].sigClicked.connect(self.colorChanged)
#if self.errorbarCheckBox.isChecked():
# self.dataErrPos[dname]=pg.PlotDataItem(x,np.where(y+yerr/2.0>0,y+yerr/2.0,y))
# self.dataErrNeg[dname]=pg.PlotDataItem(x,np.where(y-yerr/2.0>0,y-yerr/2.0,y))
#self.dataErr[dname]=pg.FillBetweenItem(curve1=self.dataErrPos[dname],curve2=self.dataErrNeg[dname],brush=pg.mkBrush(color=pg.hsvColor(1.0,sat=0.0,alpha=0.2)))
self.data_num+=1
#if len(x)>1:
self.Plot([dname])
return True
else:
QMessageBox.warning(self,'Data error','The dimensions of x, y or yerr are not matching',QMessageBox.Ok)
return False
def colorChanged(self,item):
"""
Color of the item changed
"""
color=item.opts['symbolPen'].color()
newcolor=QColorDialog.getColor(initial=color)
if newcolor.isValid():
#if self.lineWidthLineEdit.text()!='0':
item.setPen(pg.mkPen(color=newcolor,width=int(self.lineWidthLineEdit.text())))
if self.pointSizeLineEdit.text()!='0':
item.setSymbolBrush(pg.mkBrush(color=newcolor))
item.setSymbolPen(pg.mkPen(color=newcolor))
def errorbarChanged(self):
"""
Updates the plot checking the Errorbar is checked or not
"""
try:
self.Plot(self.selDataNames)
except:
pass
def Plot(self,datanames):
"""
Plots all the data in the memory with errorbars where:
datanames is the list of datanames
"""
self.selDataNames=datanames
if self.matplotlib: #Plotting with matplotlib
names=list(self.mplPlotData.keys())
for name in names:
if name not in self.selDataNames:
self.mplPlotData[name].remove()
del self.mplPlotData[name]
try:
self.mplErrorData[name].remove()
del self.mplErrorData[name]
except:
pass
self.xLabel=self.subplot.get_xlabel()
self.yLabel=self.subplot.get_ylabel()
self.title=self.subplot.get_title()
#self.subplot.axes.cla()
for dname in self.selDataNames:
if self.fit[dname]:
plot_type = '-'
else:
plot_type = '.-'
if self.errorbarCheckBox.checkState()==Qt.Checked:
try:
self.mplPlotData[dname].set_xdata(self.data[dname].xData)
self.mplPlotData[dname].set_ydata(self.data[dname].yData)
self.mplPlotData[dname].set_markersize(int(self.pointSizeLineEdit.text()))
self.mplPlotData[dname].set_linewidth(int(self.lineWidthLineEdit.text()))
self.mplErrorData[dname].set_segments(np.array([[x,yt],[x,yb]]) for x,yt,yb in zip(self.data[dname].xData,self.dataErrPos[dname].yData,self.dataErrNeg[dname].yData))
self.mplErrorData[dname].set_linewidth(2)
except:
ln,err,bar =self.subplot.errorbar(self.data[dname].xData,self.data[dname].yData,xerr=None,yerr=self.dataErr[dname].opts['top']*2,fmt=plot_type,markersize=int(self.pointSizeLineEdit.text()),linewidth=int(self.lineWidthLineEdit.text()),label=dname)
self.mplPlotData[dname]=ln
self.mplErrorData[dname],=bar
else:
try:
self.mplPlotData[dname].set_xdata(self.data[dname].xData)
self.mplPlotData[dname].set_ydata(self.data[dname].yData)
self.mplPlotData[dname].set_markersize(int(self.pointSizeLineEdit.text()))
self.mplPlotData[dname].set_linewidth(int(self.lineWidthLineEdit.text()))
except:
self.mplPlotData[dname], =self.subplot.plot(self.data[dname].xData,self.data[dname].yData,plot_type,markersize=int(self.pointSizeLineEdit.text()),linewidth=int(self.lineWidthLineEdit.text()),label=dname)
if self.xLogCheckBox.checkState()==Qt.Checked:
self.subplot.set_xscale('log')
else:
self.subplot.set_xscale('linear')
if self.yLogCheckBox.checkState()==Qt.Checked:
self.subplot.set_yscale('log')
else:
self.subplot.set_yscale('linear')
self.subplot.set_xlabel(self.xLabel,fontsize=self.xLabelFontSize)
self.subplot.set_ylabel(self.yLabel,fontsize=self.yLabelFontSize)
self.subplot.set_title(self.title,fontsize=self.titleFontSize)
# try:
# self.leg.draggable()
# except:
self.leg=self.subplot.legend()
self.leg.set_draggable(True)
self.plotWidget.fig.set_tight_layout(True)
self.plotWidget.draw()
else:
self.plotWidget.plotItem.setLogMode(x=False,y=False)
self.plotWidget.clear()
for names in self.data.keys():
self.legendItem.removeItem(names)
xlog_res=True
ylog_res=True
for dname in self.selDataNames:
if np.all(self.data[dname].yData==0) and self.yLogCheckBox.checkState()==Qt.Checked: #This step is necessary for checking the zero values
QMessageBox.warning(self,'Zero error','All the yData are zeros. So Cannot plot Logarithm of yData for %s'%dname,QMessageBox.Ok)
ylog_res=ylog_res and False
if not ylog_res:
self.yLogCheckBox.stateChanged.disconnect(self.updatePlot)
self.yLogCheckBox.setCheckState(Qt.Unchecked)
self.yLogCheckBox.stateChanged.connect(self.updatePlot)
if np.all(self.data[dname].xData==0) and self.xLogCheckBox.checkState()==Qt.Checked:
QMessageBox.warning(self,'Zero error','All the xData are zeros. So Cannot plot Logarithm of xData for %s'%dname,QMessageBox.Ok)
xlog_res=xlog_res and False
if not xlog_res:
self.xLogCheckBox.stateChanged.disconnect(self.updatePlot)
self.xLogCheckBox.setCheckState(Qt.Unchecked)
self.xLogCheckBox.stateChanged.connect(self.updatePlot)
self.plotWidget.addItem(self.data[dname])
if self.errorbarCheckBox.isChecked() and self.yerr[dname]:
x=self.data[dname].xData
y=self.data[dname].yData
top=copy.copy(self.err[dname])
bottom= copy.copy(self.err[dname])
if self.xLogCheckBox.checkState() == Qt.Checked:
x=np.log10(x)
if self.yLogCheckBox.checkState() == Qt.Checked:
top=np.log10(1+top/y)
bottom=np.log10(y/(y-bottom))
y = np.log10(y)
self.dataErr[dname].setData(x=x,y=y,top=top,bottom=bottom,pen='w')#beam=min(np.abs(x))*0.01*float(self.pointSizeLineEdit.text()),pen='w')
self.plotWidget.addItem(self.dataErr[dname])
# self.plotWidget.addItem(self.dataErrPos[dname])
# self.plotWidget.addItem(self.dataErrNeg[dname])
#self.plotWidget.addItem(self.dataErr[dname])
#self.dataErr[dname].setCurves(self.dataErrPos[dname],self.dataErrNeg[dname])
self.legendItem.addItem(self.data[dname],dname)
if self.xLogCheckBox.checkState()==Qt.Checked:
self.plotWidget.plotItem.setLogMode(x=True)
else:
self.plotWidget.plotItem.setLogMode(x=False)
if self.yLogCheckBox.checkState()==Qt.Checked:
self.plotWidget.plotItem.setLogMode(y=True)
else:
self.plotWidget.plotItem.setLogMode(y=False)
def remove_data(self,datanames):
for dname in datanames:
if self.matplotlib:
self.mplPlotData[dname].remove()
del self.mplPlotData[dname]
if self.errorbarCheckBox.isChecked() and self.yerr[dname]:
self.mplErrorData[dname].remove()
del self.mplErrorData[dname]
else:
self.plotWidget.removeItem(self.data[dname])
self.legendItem.removeItem(dname)
if self.errorbarCheckBox.isChecked() and self.yerr[dname]:
self.plotWidget.removeItem(self.dataErr[dname])
# self.plotWidget.removeItem(self.dataErrPos[dname])
# self.plotWidget.removeItem(self.dataErrNeg[dname])
del self.data[dname]
del self.dataErr[dname]
# del self.dataErrPos[dname]
# del self.dataErrNeg[dname]
def updatePlot(self):
try:
for dname in self.selDataNames:
if self.lineWidthLineEdit.text()=='0' and not self.fit[dname]:
self.data[dname].opts['pen']=None
self.data[dname].updateItems()
else:
#try:
self.data[dname].setPen(self.data[dname].opts['symbolPen']) #setting the same color as the symbol
color=self.data[dname].opts['pen'].color()
self.data[dname].setPen(pg.mkPen(color=color,width=float(self.lineWidthLineEdit.text())))
#except:
# self.data[dname].setPen(pg.mkPen(color='b',width=float(self.lineWidthLineEdit.text())))
self.data[dname].opts['symbol']='o'
if self.fit[dname]:
self.data[dname].setSymbolSize(0)
else:
self.data[dname].setSymbolSize(float(self.pointSizeLineEdit.text()))
self.Plot(self.selDataNames)
except:
QMessageBox.warning(self,'Data Error','No data to plot',QMessageBox.Ok)
def setXLabel(self,label,fontsize=4):
"""
sets the X-label of the plot
"""
self.xLabel=label
self.xLabelFontSize=fontsize
if self.matplotlib:
self.subplot.set_xlabel(label,fontsize=fontsize)
self.plotWidget.draw()
else:
self.plotWidget.getPlotItem().setLabel('bottom','<font size='+str(fontsize)+'>'+label+'</font>')
def setYLabel(self,label,fontsize=4):
"""
sets the y-label of the plot
"""
self.yLabel=label
self.yLabelFontSize=fontsize
if self.matplotlib:
self.subplot.set_ylabel(label,fontsize=fontsize)
self.plotWidget.draw()
else:
self.plotWidget.getPlotItem().setLabel('left','<font size='+str(fontsize)+'>'+label+'</font>')
def setTitle(self,title,fontsize=6):
"""
Sets the y-label of the plot
"""
self.title=title
self.titleFontSize=fontsize
if self.matplotlib:
self.subplot.set_title(title,fontsize=fontsize)
self.plotWidget.draw()
else:
self.plotWidget.getPlotItem().setTitle(title='<font size='+str(fontsize)+'>'+title+'</font>')
def addROI(self,values=(0,1),orientation='horizontal',movable=True, minmax_widget=None, min_widget=None, max_widget=None):
if orientation=='vertical':
self.roi=pg.LinearRegionItem(values=values,orientation=pg.LinearRegionItem.Vertical,movable=movable)
else:
self.roi = pg.LinearRegionItem(values=values, orientation=pg.LinearRegionItem.Horizontal,movable=movable)
self.plotWidget.addItem(self.roi)
return self.roi
class AitoffDock(Dock):
"""
Aitoff plot for displaying locations.
"""
def __init__(self, *args, **kwargs):
log.info('')
super().__init__(*args, **kwargs)
self.points = None
self._axis_aitoff_text_labels = []
self.mw = MatplotlibWidget()
self.mw.toolbar.hide()
self.subplot = self.mw.getFigure().add_subplot(111,
projection="aitoff")
self.subplot.grid('on')
#
# Add some dummy points
#
self.mw.draw()
self.subplot_background = self.subplot.get_figure(
).canvas.copy_from_bbox(self.subplot.bbox)
self.addWidget(self.mw)
def clear_points(self):
#
# Delete the points
#
log.info('')
if self.points is not None:
self.points.remove()
self.points = None
self.mw.draw()
#
# Delete the text labels
#
for t in self._axis_aitoff_text_labels:
t.remove()
self._axis_aitoff_text_labels = []
def add_points(self, points, color='b'):
log.info('')
self.clear_points()
converted_points = [self.convert_ra_dec(*radec) for radec in points]
#
# Display the points on the Aitoff projection
#
xs = np.array([x[0] for x in converted_points])
ys = np.array([x[1] for x in converted_points])
self.points = self.subplot.scatter(xs, ys, c='b')
#
# Now label the numbers on the plot to correspond to the
# similar images.
#
converted_points = np.array(converted_points)
d = distance_matrix(converted_points, converted_points)
rows = set(range(converted_points.shape[0]))
groups = {}
while len(rows) > 0:
row = rows.pop()
close = np.nonzero(d[row] < 0.01)[0]
rows = rows - set(list(close))
groups[row] = close
for k, v in groups.items():
tt = self.subplot.text(converted_points[k][0] + 0.05,
converted_points[k][1] + 0.05,
','.join([str(x + 1) for x in v]))
self._axis_aitoff_text_labels.append(tt)
self.subplot.draw_artist(tt)
self.mw.draw()
def convert_ra_dec(self, ra, dec):
log.info('')
if ra is not None and dec is not None:
coords = SkyCoord(ra=ra, dec=dec, unit='degree')
ra = coords.ra.wrap_at(180 * u.deg).radian
dec = coords.dec.radian
else:
ra, dec = None, None
return ra, dec
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
self.setGeometry(100, 100, 600, 900)
self.centralWidget = QWidget()
# GrphicsWidget()
layout = QHBoxLayout(self.centralWidget)
self.scrollArea = QScrollArea(self)
# gwidget=GrphicsWidget()
self.mw = MatplotlibWidget(size=(3.0, 40.0), dpi=100)
lplot = self.mw.getFigure().add_subplot(121)
# print(dir(self.mw.getFigure()))
# self.mw.getFigure().set_axes([0.85, 0.1, 0.075, 0.8])
self.ax = self.mw.getFigure().gca()
self.ax.set_position([0.1, 0.05, 0.8, 0.94])
self.ax.invert_yaxis()
# l, b, w, h = self.ax.get_position().bounds
# print(l, b, w, h)
self.mw.draw()
# self.plotlayout.addWidget(self.mw)
self.scrollArea.setWidget(self.mw)
layout.addWidget(self.scrollArea)
self.setCentralWidget(self.centralWidget)
self.wellLoad()
self.logtree = LasTree(['GR', 'NPHI'])
self.logtree.buildTreeWidget()
self.logtree.tree.itemSelectionChanged.connect(self.logPlot)
self.createDockWindows()
# self.logFileList.itemSelectionChanged.connect(self.lasLoad)
# if not self.las_just_selected:
# self.logList.itemSelectionChanged.connect(self.logPlot)
self.setWindowTitle("Loggy")
# self.newLetter()
def wellLoad(self):
self.wellFolder = r'E:\Data\W1\LAS\\'
self.files = np.array(os.listdir(self.wellFolder)[:])
files_w_path = [self.wellFolder + f for f in self.files]
# print(files_w_path)
# self.logFileList.addItems(self.files)
# folder=r'D:\Ameyem Office\Projects\Cairn\W1\LAS\\'
cols = []
# las=[]
# log.df().sort_values([log.keys()[dindx]])
# log.keys()
self.files = np.array(os.listdir(self.wellFolder)[:])
self.lastree = LasTree(self.files)
self.lastree.buildTreeWidget()
self.lastree.tree.itemSelectionChanged.connect(self.lasLoad)
self.lasLoadThread = LasLoadThread(files=files_w_path)
# def lasBackgroundLoad():
def lasLoad(self):
las_name = self.lastree.tree.selectedItems()[0].text(
0) #self.logFileList.selectedItems()[0].text()
if las_name in ['TVD', 'MD', 'LWD', 'WireLine']:
return
findex = np.where(self.files == las_name)[0][0]
# print(findex)
Loaded = False
while (not Loaded):
if (findex < len(self.lasLoadThread.Lases)):
self.las = self.lasLoadThread.Lases[findex]
Loaded = True
else:
self.logtree.clear()
# self.logtree.addItems(['Loading....'])
time.sleep(1)
if len(self.logtree.selectedItems()) > 0:
item = self.logtree.selectedItems()[0]
# print(dir(item))
item.setSelected = False
# self.logList.clear()
# self.logList.addItems(self.las.keys() )
if not (len(self.las.keys()) < 1):
self.logtree = LasTree(self.las.keys())
self.logtree.buildTreeWidget()
# self.logtree.tree.itemSelectionChanged.connect(self.logPlot)
dcol = self.las.keys()[find_depth_indx(self.las)]
self.depth_col = str_array2floats(self.las[dcol])
# else:
# self.las_just_selected = True
def logPlot(self):
# print(self.mw.getFigure().)
# pass
# if not self.las_just_selected:
if len(self.logtree.selectedItems()) > 0:
keycol = self.logtree.selectedItems()[0].text(0)
try:
self.log_col = str_array2floats(self.las[keycol])
self.ax = LogPlot.basicPlot(self.ax,
self.depth_col,
self.log_col,
lcolor='#800000')
except:
print('Unable to convert log to floats')
# else:
# self.las_just_selected=False
# fig.subplots_adjust(top=0.75,wspace=0.1)
# ax.invert_yaxis()
# ax.plot([1,2,3],[2,1,4],'*')
self.mw.draw()
# self.subplot1 = self.mw.getFigure().add_subplot(121)
def createDockWindows(self):
dock = QDockWidget("Log Files", self)
dock.setAllowedAreas(Qt.LeftDockWidgetArea | Qt.RightDockWidgetArea)
# self.logFileList = self.lastree.tree #QListWidget(dock)
# self.customerList.addItems(('Hello','How are you'))
dock.setWidget(self.lastree.tree)
#
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
# self.viewMenu.addAction(dock.toggleViewAction())
dock = QDockWidget("Logs", self)
# self.logList = QListWidget(dock)
# self.logList.addItems(('Good morning','Hope you are doing well'))
dock.setWidget(self.logtree.tree)
# self.logList = QListWidget(dock)
# self.logList.addItems(('Good morning','Hope you are doing well'))
# dock.setWidget(self.logList)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
class mainApp(qt.QMainWindow):
def __init__(self, parent=None):
super(mainApp, self).__init__(parent)
self.setMinimumWidth(1040 / 2)
self.setMinimumHeight(1392 / 2)
self.layout = qt.QGridLayout()
self.widget = qt.QWidget()
self.widget.setLayout(self.layout)
self.setCentralWidget(self.widget)
args = parser.parse_args()
self.currentDirectory = os.path.abspath(args.directory)
self.selectedDir = None
self.table = qt.QListWidget()
self.table.setMinimumWidth(200)
self.table.setMaximumWidth(250)
self.textedit = qt.QTextEdit()
self.textedit.setMaximumHeight(150)
self.textedit.setMinimumWidth(200)
self.textedit.setMaximumWidth(250)
self.update_directory_list()
self.mw = MatplotlibWidget()
self.mw.setMinimumWidth(1400)
self.layout.addWidget(self.table, 0, 0, 1, 1)
self.layout.addWidget(self.textedit, 1, 0, 1, 1)
self.layout.addWidget(self.mw, 0, 1, 2, 3)
# self.timer = qt.QTimer()
# self.timer.timeout.connect(self.update_directory_list)
# self.timer.start(10000)
self.table.itemClicked.connect(self.analyse_image)
self.table.itemDoubleClicked.connect(self.change_directory)
# sys.stdout = OutLog( self.textedit, sys.stdout)
# sys.stderr = OutLog( self.textedit, sys.stderr, qt.QColor(255,0,0) )
def analyse_image(self, item):
dir = self.currentDirectory + '/' + str(item.text())
self.selectedDir = str(item.text())
if not dir == '.' and not dir == '..':
self.mw.getFigure().clear()
# ''' initialise an instance of the stripPlot Widget '''
analyse_image(self.mw, dir)
self.mw.draw()
def update_directory_list(self):
index = None
self.table.clear()
start = time.time()
# print (os.listdir(self.currentDirectory))
dirs = [
os.path.abspath(self.currentDirectory + '/' + a)
for a in os.listdir(self.currentDirectory)
if os.path.isdir(self.currentDirectory + '/' + a)
]
print('read dirs in ', time.time() - start)
if os.path.isfile(self.currentDirectory +
'/best_solutions_running.csv'):
solutions = []
with open(self.currentDirectory + '/best_solutions_running.csv',
'rt') as csvfile:
spamreader = csv.reader(csvfile, csv.QUOTE_NONE, delimiter=',')
for row in spamreader:
solutions.append([float(a) for a in row])
# solutions = np.array(sorted([s for s in solutions if s[-3] < 12 and s[-4] < 2], key=lambda a: a[-1]))
solutions = np.array(sorted(solutions, key=lambda a: a[-1]))
# print (solutions)
iterdirs = [
self.currentDirectory + '/iteration_' + str(int(a[-2]))
for a in solutions
if os.path.isdir(self.currentDirectory + '/iteration_' +
str(int(a[-2])))
]
basedirs = [a for a in dirs if 'basefiles_' in a]
vbcdirs = [a for a in dirs if 'vbc_' in a]
setdirs = [a for a in dirs if 'set' in a]
dirs = iterdirs # + setdirs + vbcdirs + basedirs
# print 'sorted dirs in ', time.time() - start
else:
dirs.sort(key=os.path.getmtime, reverse=True)
self.table.addItem('.')
self.table.addItem('..')
for i, d in enumerate(dirs[:100]):
d = d.replace(self.currentDirectory + '/',
'').replace(self.currentDirectory + '\\', '')
item = self.table.addItem(d)
if d == self.selectedDir:
# print 'found dir = ', d, self.selectedDir
index = i + 2
if self.selectedDir is not None and index is not None:
# try:
self.table.itemClicked.disconnect(self.analyse_image)
self.table.setCurrentRow(index)
self.table.itemClicked.connect(self.analyse_image)
# except:
# self.table.setCurrentRow(index)
def change_directory(self, item):
dir = str(item.text())
print('changing directory! = ',
os.path.abspath(self.currentDirectory + '/' + dir + '/'))
self.currentDirectory = os.path.abspath(self.currentDirectory + '/' +
dir + '/')
self.update_directory_list()
class MainWindow(QtGui.QMainWindow):
def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self, parent)
self.loadIcons()
self.setupUserInterface()
self.setupSignals()
self.__version__ = __version__
# Initialise variables
self.imageFiles = {}
self.timeData = None
self.plotWin = None
self.imageWin = None
self.BMDchange = None
self.roiNames = None
def loadIcons(self):
""" Load icons """
self.icons = dict([
('BMDanalyseIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","logo.png"))),
('imageAddIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","file_add.png"))),
('imageRemIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","file_delete2.png"))),
('imageDownIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","arrow-up-2.png"))),
('imageUpIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","arrow-down-2.png"))),
('imagePrevIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","arrow-left.png"))),
('imageNextIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","arrow-right.png"))),
('roiAddIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","green-add3.png"))),
('roiRectIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","rectangularIcon.png"))),
('roiPolyIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","polygonIcon.png"))),
('roiRemIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","red_delete.png"))),
('roiSaveIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","filesave.png"))),
('roiCopyIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","file_copy.png"))),
('roiLoadIcon', QtGui.QIcon(os.path.join(absDirPath,"icons","opened-folder.png")))])
def setupUserInterface(self):
""" Initialise the User Interface """
# Left frame
leftFrame = QtGui.QFrame()
leftFrameLayout = QtGui.QHBoxLayout()
leftFrame.setLayout(leftFrameLayout)
leftFrame.setLineWidth(0)
leftFrame.setFrameStyle(QtGui.QFrame.Panel)
leftFrameLayout.setContentsMargins(0,0,5,0)
# Left frame contents
self.viewMain = GraphicsLayoutWidget() # A GraphicsLayout within a GraphicsView
leftFrameLayout.addWidget(self.viewMain)
self.viewMain.setMinimumSize(200,200)
self.vb = MultiRoiViewBox(lockAspect=True,enableMenu=True)
self.viewMain.addItem(self.vb)
self.vb.disableAutoRange()
# Right frame
self.sidePanel = SidePanel(self)
# UI window (containing left and right frames)
UIwindow = QtGui.QWidget(self)
UIwindowLayout = QtGui.QHBoxLayout()
UIwindowSplitter = QtGui.QSplitter(QtCore.Qt.Horizontal)
UIwindowLayout.addWidget(UIwindowSplitter)
UIwindow.setLayout(UIwindowLayout)
self.setCentralWidget(UIwindow)
UIwindowSplitter.addWidget(leftFrame)
UIwindowSplitter.addWidget(self.sidePanel)
# Application window
self.setWindowTitle('BMDanalyse')
self.setWindowIcon(self.icons['BMDanalyseIcon'])
self.setMinimumSize(600,500)
self.resize(self.minimumSize())
# Window menus
self.createMenus()
self.createActions()
def createMenus(self):
# Menus
menubar = self.menuBar()
self.fileMenu = menubar.addMenu('&File')
self.roiMenu = menubar.addMenu('&ROIs')
self.submenu = self.roiMenu.addMenu(self.icons['roiAddIcon'],"Add ROI")
self.analyseMenu = menubar.addMenu('&Analyse')
self.aboutMenu = menubar.addMenu('A&bout')
def createActions(self):
# Actions for File menu
self.loadImageAct = QtGui.QAction(self.icons['imageAddIcon'], "&Load image(s)", self, shortcut="Ctrl+L")
self.removeImageAct = QtGui.QAction(self.icons['imageRemIcon'], "&Remove current image", self, shortcut="Ctrl+X")
self.exitAct = QtGui.QAction("&Quit", self, shortcut="Ctrl+Q",statusTip="Exit the application")
fileMenuActions = [self.loadImageAct,self.removeImageAct,self.exitAct]
fileMenuActFuncs = [self.loadImages,self.removeImage,self.close]
for i in xrange(len(fileMenuActions)):
action = fileMenuActions[i]
function = fileMenuActFuncs[i]
action.triggered[()].connect(function)
self.fileMenu.addAction(self.loadImageAct)
self.fileMenu.addAction(self.removeImageAct)
self.fileMenu.addSeparator()
self.fileMenu.addAction(self.exitAct)
# Actions for ROI menu
# Submenu to add ROIs
#self.addROIRectAct = QActionCustom("Rectangular",self.submenu)
#self.addROIPolyAct = QActionCustom("Polygon",self.submenu)
self.addROIRectAct = QtGui.QAction("Rectangular",self.submenu)
self.addROIPolyAct = QtGui.QAction("Polygon",self.submenu)
#self.addROIRectAct.clickEvent.connect(self.vb.addROI)
#self.addROIPolyAct.clickEvent.connect(self.vb.addPolyRoiRequest)
self.addROIRectAct.triggered[()].connect(self.vb.addROI)
self.addROIPolyAct.triggered[()].connect(self.vb.addPolyRoiRequest)
self.submenu.addAction(self.addROIRectAct)
self.submenu.addAction(self.addROIPolyAct)
self.addROIRectAct.setIcon(self.icons['roiRectIcon'])
self.addROIPolyAct.setIcon(self.icons['roiPolyIcon'])
self.addROIRectAct.setShortcut("Ctrl+Shift+R")
self.addROIPolyAct.setShortcut("Ctrl+Shift+P")
self.loadRoiAct = QtGui.QAction(self.icons['roiLoadIcon'], "L&oad ROI", self, shortcut="Ctrl+O")
self.copyRoiAct = QtGui.QAction(self.icons['roiCopyIcon'], "&Copy ROI", self, shortcut="Ctrl+C")
self.saveRoiAct = QtGui.QAction(self.icons['roiSaveIcon'], "&Save ROI", self, shortcut="Ctrl+S")
self.remRoiAct = QtGui.QAction(self.icons['roiRemIcon'] , "&Remove ROI", self, shortcut="Ctrl+D")
roiMenuActions = [self.loadRoiAct,self.copyRoiAct,self.saveRoiAct,self.remRoiAct]
roiMenuActFuncs = [self.vb.loadROI,self.vb.copyROI,self.vb.saveROI,self.vb.removeROI]
for i in xrange(len(roiMenuActions)):
action = roiMenuActions[i]
function = roiMenuActFuncs[i]
action.triggered[()].connect(function)
self.roiMenu.addAction(action)
# Actions for Analyse menu
self.roiAnalysisAct = QtGui.QAction("&ROI analysis", self.viewMain, shortcut="Ctrl+R",triggered=self.getBMD)
self.imgAnalysisAct = QtGui.QAction("&Image analysis", self.viewMain, shortcut="Ctrl+I",triggered=self.imageAnalysis)
self.analyseMenu.addAction(self.roiAnalysisAct)
self.analyseMenu.addAction(self.imgAnalysisAct)
# Actions for
self.aboutAct = QtGui.QAction("&About", self.viewMain, shortcut='F1', triggered=self.onAbout)
self.aboutMenu.addAction(self.aboutAct)
def setupSignals(self):
""" Setup signals """
self.sidePanel.imageFileList.itemSelectionChanged.connect(self.getImageToDisplay)
self.sidePanel.buttImageAdd.clicked.connect(self.loadImages)
self.sidePanel.buttImageRem.clicked.connect(self.removeImage)
self.sidePanel.buttImageUp.clicked.connect(self.sidePanel.moveImageUp)
self.sidePanel.buttImageDown.clicked.connect(self.sidePanel.moveImageDown)
self.sidePanel.roiMenu.button1.clicked[()].connect(self.vb.addROI)
self.sidePanel.roiMenu.button2.clicked[()].connect(self.vb.addPolyRoiRequest)
self.sidePanel.buttRoiCopy.clicked[()].connect(self.vb.copyROI)
self.sidePanel.buttRoiRem.clicked.connect(self.vb.removeROI)
self.sidePanel.buttRoiLoad.clicked.connect(self.vb.loadROI)
self.sidePanel.buttRoiSave.clicked.connect(self.vb.saveROI)
#self.vb.sigROIchanged.connect(self.updateROItools)
def onAbout(self):
""" About BMDanalyse message"""
author ='Michael Hogg'
date ='2012 - 2013'
version = self.__version__
QtGui.QMessageBox.about(self, 'About BMDanalyse',
"""
<b>BMDanalyse</b>
<p>A simple program for the analysis of a time series of Bone Mineral Density (BMD) images.</p>
<p>Used to evaluate the bone gain / loss in a number of regions of interest (ROIs) over time,
typically due to bone remodelling as a result of stress shielding around an orthopaedic implant.</p>
<p><table border="0" width="150">
<tr>
<td>Author:</td>
<td>%s</td>
</tr>
<tr>
<td>Version:</td>
<td>%s</td>
</tr>
<tr>
<td>Date:</td>
<td>%s</td>
</tr>
</table></p>
""" % (author,version,date))
def updateROItools(self,roi=None):
""" Update ROI info box in side panel """
if roi==None:
self.sidePanel.updateRoiInfoBox()
else:
roiState = roi.getState()
posx,posy = roiState['pos']
sizex,sizey = roiState['size']
angle = roiState['angle']
name = roi.name
pos = '(%.3f, %.3f)' % (posx,posy)
size = '(%.3f, %.3f)' % (sizex,sizey)
angle = '%.3f' % angle
self.sidePanel.updateRoiInfoBox(name,pos,size,angle)
def loadImages(self):
""" Load an image to be analysed """
newImages = {}
fileNames = QtGui.QFileDialog.getOpenFileNames(self, self.tr("Load images"),QtCore.QDir.currentPath())
# Fix for PySide. PySide doesn't support QStringList types. PyQt4 getOpenFileNames returns a QStringList, whereas PySide
# returns a type (the first entry being the list of filenames).
if isinstance(fileNames,types.TupleType): fileNames = fileNames[0]
if hasattr(QtCore,'QStringList') and isinstance(fileNames, QtCore.QStringList): fileNames = [str(i) for i in fileNames]
if len(fileNames)>0:
for fileName in fileNames:
if fileName!='':
imgarr = np.array(Image.open(str(fileName)))
imgarr = imgarr.swapaxes(0,1)
if imgarr.ndim==2: imgarr = imgarr[:,::-1]
elif imgarr.ndim==3: imgarr = imgarr[:,::-1,:]
newImages[fileName] = imgarr
# Add filenames to list widget. Only add new filenames. If filename exists aready, then
# it will not be added, but data will be updated
for fileName in sorted(newImages.keys()):
if not self.imageFiles.has_key(fileName):
self.sidePanel.addImageToList(fileName)
self.imageFiles[fileName] = newImages[fileName]
# Show image in Main window
self.vb.enableAutoRange()
if self.sidePanel.imageFileList.currentRow()==-1: self.sidePanel.imageFileList.setCurrentRow(0)
self.showImage(str(self.sidePanel.imageFileList.currentItem().text()))
self.vb.disableAutoRange()
def removeImage(self):
""" Remove image from sidePanel imageFileList """
# Return if there is no image to remove
if self.vb.img==None: return
# Get current image in sidePanel imageFileList and remove from list
currentRow = self.sidePanel.imageFileList.currentRow()
image = self.sidePanel.imageFileList.takeItem(currentRow)
imageName = str(image.text())
# Delete key and value from dictionary
if imageName!='': del self.imageFiles[imageName]
#self.imageFiles.pop(imageName,None)
# Get image item in imageFileList to replace deleted image
if self.sidePanel.imageFileList.count()==0:
self.vb.enableAutoRange()
self.vb.removeItem(self.vb.img)
self.vb.showImage(None)
#self.vb.img = None
self.vb.disableAutoRange()
else:
currentRow = self.sidePanel.imageFileList.currentRow()
imageName = str(self.sidePanel.imageFileList.item(currentRow).text())
self.showImage(imageName)
def showImage(self,imageFilename):
""" Shows image in main view """
self.arr = self.imageFiles[imageFilename]
self.vb.showImage(self.arr)
def getImageToDisplay(self):
""" Get current item in file list and display in main view"""
try: imageFilename = str(self.sidePanel.imageFileList.currentItem().text())
except: pass
else: self.showImage(imageFilename)
def getBMD(self):
""" Get change in BMD over time (e.g. for each image) for all ROIs.
Revised function that converts the list of images into a 3D array
and then uses the relative position of the ROIs to the current
image, self.vb.img, to get the average BMD value e.g. it doesn't use
setImage to change the image in the view. This requires that all
images are the same size and in the same position.
"""
# Return if there is no image or rois in view
if self.vb.img==None or len(self.vb.rois)==0: return
# Collect all images into a 3D array
imageFilenames = self.sidePanel.getListOfImages()
images = [self.imageFiles[str(name.text())] for name in imageFilenames]
imageData = np.dstack(images)
numImages = len(images)
# Get BMD across image stack for each ROI
numROIs = len(self.vb.rois)
BMD = np.zeros((numImages,numROIs),dtype=float)
self.roiNames = []
for i in xrange(numROIs):
roi = self.vb.rois[i]
self.roiNames.append(roi.name)
arrRegion = roi.getArrayRegion(imageData,self.vb.img, axes=(0,1))
avgROIvalue = arrRegion.mean(axis=0).mean(axis=0)
BMD[:,i] = avgROIvalue
# Calculate the BMD change (percentage of original)
tol = 1.0e-06
for i in xrange(numROIs):
if abs(BMD[0,i])<tol:
BMD[:,i] = 100.
else:
BMD[:,i] = BMD[:,i] / BMD[0,i] * 100.
self.BMDchange = BMD-100.
if self.timeData==None or self.timeData.size!=numImages:
self.timeData = np.arange(numImages,dtype=float)
# Plot results
self.showResults()
def imageAnalysis(self):
# Generate images of BMD change
if self.vb.img==None: return
self.showImageWin()
def sliderValueChanged(self,value):
self.imageWin.sliderLabel.setText('BMD change: >= %d %s' % (value,'%'))
self.setLookupTable(value)
self.imageWin.vb.img2.setLookupTable(self.lut)
def setLookupTable(self,val):
lut = []
for i in range(256):
if i > 127+val:
lut.append(matplotlib.cm.jet(255))
elif i < 127-val:
lut.append(matplotlib.cm.jet(0))
else:
lut.append((0.0,0.0,0.0,0.0))
lut = np.array(lut)*255
self.lut = np.array(lut,dtype=np.ubyte)
def createImageWin(self):
self.buttMinimumSize = QtCore.QSize(70,36)
self.iconSize = QtCore.QSize(24,24)
if self.imageWin==None:
self.imageWin = QtGui.QDialog(self, QtCore.Qt.WindowSystemMenuHint | QtCore.Qt.WindowTitleHint | \
QtCore.Qt.WindowMinimizeButtonHint | QtCore.Qt.WindowMaximizeButtonHint)
self.imageWin.setWindowTitle('BMDanalyse')
self.imageWin.setWindowIcon(self.icons['BMDanalyseIcon'])
self.imageWin.setMinimumSize(250,500)
self.imageWin.resize(self.imageWin.minimumSize())
# Create viewBox
self.imageWin.glw = GraphicsLayoutWidget() # A GraphicsLayout within a GraphicsView
self.imageWin.vb = ImageAnalysisViewBox(lockAspect=True,enableMenu=True)
self.imageWin.vb.disableAutoRange()
self.imageWin.glw.addItem(self.imageWin.vb)
arr = self.imageFiles.values()[0]
self.imageWin.vb.img1 = pg.ImageItem(arr,autoRange=False,autoLevels=False)
self.imageWin.vb.addItem(self.imageWin.vb.img1)
self.imageWin.vb.img2 = pg.ImageItem(None,autoRange=False,autoLevels=False)
self.imageWin.vb.addItem(self.imageWin.vb.img2)
self.imageWin.vb.autoRange()
lut = [ [ int(255*val) for val in matplotlib.cm.gray(i)[:3] ] for i in xrange(256) ]
lut = np.array(lut,dtype=np.ubyte)
self.imageWin.vb.img1.setLookupTable(lut)
# Label to show index of current image label
self.imageCurrCont = QtGui.QFrame()
self.imageCurrCont.setLineWidth(2)
self.imageCurrCont.setFrameStyle(QtGui.QFrame.Panel | QtGui.QFrame.Raised)
self.imageCurrCont.setMinimumWidth(70)
self.imageWin.currLabel = QtGui.QLabel("")
self.imageWin.currLabel.setAlignment(QtCore.Qt.AlignHCenter)
imageCurrContLayout = QtGui.QHBoxLayout()
imageCurrContLayout.addWidget(self.imageWin.currLabel)
self.imageCurrCont.setLayout(imageCurrContLayout)
# Create buttons to select images
self.imageWin.buttCont = QtGui.QWidget()
self.imageWin.buttPrev = QtGui.QPushButton(self.icons['imagePrevIcon'],"")
self.imageWin.buttNext = QtGui.QPushButton(self.icons['imageNextIcon'],"")
self.buttLayout = QtGui.QHBoxLayout()
self.buttLayout.addStretch(1)
self.buttLayout.addWidget(self.imageWin.buttPrev)
self.buttLayout.addWidget(self.imageCurrCont)
self.buttLayout.addWidget(self.imageWin.buttNext)
self.buttLayout.addStretch(1)
self.imageWin.buttCont.setLayout(self.buttLayout)
self.imageWin.buttPrev.setMinimumSize(self.buttMinimumSize)
self.imageWin.buttNext.setMinimumSize(self.buttMinimumSize)
self.imageWin.buttPrev.setIconSize(self.iconSize)
self.imageWin.buttNext.setIconSize(self.iconSize)
self.buttLayout.setContentsMargins(0,5,0,5)
self.imageWin.buttPrev.clicked.connect(self.prevImage)
self.imageWin.buttNext.clicked.connect(self.nextImage)
# Create slider
self.imageWin.sliderCon = QtGui.QWidget()
self.imageWin.slider = QtGui.QSlider(self)
self.imageWin.slider.setOrientation(QtCore.Qt.Horizontal)
self.imageWin.slider.setMinimum(1)
self.imageWin.slider.setMaximum(100)
self.imageWin.slider.setMinimumWidth(100)
self.imageWin.slider.valueChanged.connect(self.sliderValueChanged)
self.imageWin.sliderLabel = QtGui.QLabel('1')
self.imageWin.sliderLabel.setMinimumWidth(120)
self.sliderLayout = QtGui.QHBoxLayout()
self.sliderLayout.addStretch(1)
self.sliderLayout.addWidget(self.imageWin.sliderLabel)
self.sliderLayout.addWidget(self.imageWin.slider)
self.sliderLayout.addStretch(1)
self.imageWin.sliderCon.setLayout(self.sliderLayout)
self.sliderLayout.setContentsMargins(0,0,0,5)
# Format image window
self.imageWinLayout = QtGui.QVBoxLayout()
self.imageWinLayout.addWidget(self.imageWin.glw)
self.imageWinLayout.addWidget(self.imageWin.buttCont)
self.imageWinLayout.addWidget(self.imageWin.sliderCon)
self.imageWin.setLayout(self.imageWinLayout)
self.imageWin.imagesRGB = None
# Show
self.imageWin.show()
self.imageWin.slider.setValue(10)
self.sliderValueChanged(10)
self.imageWinIndex = 0
def prevImage(self):
#numImages = len(self.imageFiles)
minIndex = 0
currIndex = self.imageWinIndex
prevIndex = currIndex - 1
self.imageWinIndex = max(prevIndex,minIndex)
self.updateImageWin()
def nextImage(self):
numImages = len(self.imageFiles)
maxIndex = numImages - 1
currIndex = self.imageWinIndex
nextIndex = currIndex + 1
self.imageWinIndex = min(nextIndex,maxIndex)
self.updateImageWin()
def updateImageWin(self):
imageFilenames = self.sidePanel.getListOfImages()
imageName = imageFilenames[self.imageWinIndex]
self.imageWin.vb.img1.setImage(self.imageFiles[str(imageName.text())],autoLevels=False)
self.imageWin.vb.img2.setImage(self.imageWin.imagesRGB[self.imageWinIndex],autoLevels=False)
self.imageWin.currLabel.setText("%i / %i" % (self.imageWinIndex+1,len(imageFilenames)))
def showImageWin(self):
self.createImageWin()
#if self.imageWin.imagesRGB == None: self.imagesBMDpercentChange()
self.imagesBMDpercentChange()
self.updateImageWin()
def imagesBMDpercentChange(self):
# Get image arrays and convert to an array of floats
imageFilenames = self.sidePanel.getListOfImages()
images = [ self.imageFiles[str(name.text())] for name in imageFilenames ]
imagesConv = []
for img in images:
image = img.copy()
image[np.where(image==0)] = 1
image = image.astype(np.float)
imagesConv.append(image)
# Calculate percentage change and set with limits -100% to +100%
imagesPercCh = []
imageInitial = imagesConv[0]
for image in imagesConv:
imagePercCh = (image-imageInitial)/imageInitial*100.
imagePercCh[np.where(imagePercCh> 100.)] = 100.
imagePercCh[np.where(imagePercCh<-100.)] = -100.
imagesPercCh.append(imagePercCh)
numImages = len(imagesPercCh)
self.imageWin.imagesRGB = []
for i in xrange(numImages):
image = imagesPercCh[i]
sx,sy = image.shape
#imageCh = np.zeros((sx,sy),dtype=np.float)
imageRGB = image*(255/200.)+(255/2.)
self.imageWin.imagesRGB.append(imageRGB)
def BMDtoCSVfile(self):
""" Write BMD change to csv file """
fileName = QtGui.QFileDialog.getSaveFileName(None,self.tr("Export to CSV"),QtCore.QDir.currentPath(),self.tr("CSV (*.csv)"))
# Fix for PyQt/PySide compatibility. PyQt returns a QString, whereas PySide returns a tuple (first entry is filename as string)
if isinstance(fileName,types.TupleType): fileName = fileName[0]
if hasattr(QtCore,'QString') and isinstance(fileName, QtCore.QString): fileName = str(fileName)
if not fileName=='':
#if not fileName.isEmpty():
textFile = open(fileName,'w')
numFrames, numROIs = self.BMDchange.shape
roiNames = self.roiNames
header = "%10s," % 'Time'
header += ((numROIs-1)*'%10s,'+'%10s\n') % tuple(roiNames)
textFile.write(header)
for i in xrange(numFrames):
textFile.write('%10.1f,' % self.timeData[i])
for j in xrange(numROIs):
if j<numROIs-1: fmt = '%10.3f,'
else: fmt = '%10.3f\n'
textFile.write(fmt % self.BMDchange[i,j])
textFile.close()
def showResults(self,):
""" Plots BMD change using matplotlib """
# Create plot window
if self.plotWin==None:
self.plotWin = QtGui.QDialog(self, QtCore.Qt.WindowSystemMenuHint | QtCore.Qt.WindowTitleHint | \
QtCore.Qt.WindowMinimizeButtonHint | QtCore.Qt.WindowMaximizeButtonHint)
self.plotWin.setWindowTitle('BMDanalyse')
self.plotWin.setWindowIcon(self.icons['BMDanalyseIcon'])
self.plotWin.setMinimumSize(600,500)
self.plotWin.resize(self.minimumSize())
# Create Matplotlib widget
self.mplw = MatplotlibWidget(size=(5,6))
self.fig = self.mplw.getFigure()
self.editDataButton = QtGui.QPushButton('Edit plot')
self.exportCSVButton = QtGui.QPushButton('Export data')
self.mplw.toolbar.addWidget(self.editDataButton)
self.mplw.toolbar.addWidget(self.exportCSVButton)
self.editDataButton.clicked.connect(self.showEditBox)
self.exportCSVButton.clicked.connect(self.BMDtoCSVfile)
# Format plot window
self.plotWinLayout = QtGui.QVBoxLayout()
self.plotWinLayout.addWidget(self.mplw)
self.plotWin.setLayout(self.plotWinLayout)
self.createFigure()
self.plotWin.show()
self.mplw.draw()
def createFigure(self):
""" Creates plot of results """
self.ax1 = self.fig.add_subplot(111)
self.ax1.clear()
self.fig.subplots_adjust(bottom=0.15,top=0.85,left=0.15,right=0.925)
numFrames, numROIs = self.BMDchange.shape
t = self.timeData
# Plot data
for i in xrange(numROIs):
roiname = self.roiNames[i]
self.ax1.plot(t,self.BMDchange[:,i],'-o',label=roiname,linewidth=2.0)
kwargs = dict(y=1.05) # Or kwargs = {'y':1.05}
self.ax1.set_title('Change in Bone Mineral Density over time',fontsize=14,fontweight='roman',**kwargs)
self.ax1.set_xlabel('Time',fontsize=10)
self.ax1.set_ylabel('Change in BMD (%)',fontsize=10)
self.ax1.legend(loc=0)
matplotlib.pyplot.setp(self.ax1.get_xmajorticklabels(), fontsize=10)
matplotlib.pyplot.setp(self.ax1.get_ymajorticklabels(), fontsize=10)
matplotlib.pyplot.setp(self.ax1.get_legend().get_texts(),fontsize=10)
self.ax1.grid()
def fillEditBox(self):
rows,cols = self.BMDchange.shape
for i in xrange(rows):
itmValue = '%.2f' % self.timeData[i]
itm = QtGui.QTableWidgetItem(itmValue)
self.tableResults.setItem(i,0,itm)
for j in xrange(cols):
itmValue = '%.2f' % self.BMDchange[i,j]
itm = QtGui.QTableWidgetItem(itmValue)
self.tableResults.setItem(i,j+1,itm)
def showEditBox(self):
self.plotWin.editBox = QtGui.QDialog(self.plotWin, QtCore.Qt.WindowSystemMenuHint | QtCore.Qt.WindowTitleHint)
self.plotWin.editBox.setWindowIcon(self.icons['BMDanalyseIcon'])
self.plotWin.editBox.setWindowTitle('BMDanalyse')
self.plotWin.editBox.setModal(True)
# Add table
layout = QtGui.QVBoxLayout()
layout.setContentsMargins(10,10,10,10)
layout.setSpacing(20)
rows,cols = self.BMDchange.shape
self.tableResults = MyTableWidget(rows,cols+1,self.plotWin.editBox)
self.tableResults.verticalHeader().setVisible(True)
# Set headers
self.tableResults.setHorizontalHeaderItem(0,QtGui.QTableWidgetItem('Time'))
for i in xrange(cols):
header = QtGui.QTableWidgetItem(self.roiNames[i])
self.tableResults.setHorizontalHeaderItem(i+1,header)
# Add values to table
self.fillEditBox()
# Set layout
layout.addWidget(self.tableResults)
self.buttonsFrame = QtGui.QFrame()
self.buttonsLayout = QtGui.QHBoxLayout()
self.buttonReset = QtGui.QPushButton('Reset')
self.buttonSave = QtGui.QPushButton('Save')
self.buttonClose = QtGui.QPushButton('Cancel')
self.buttonReset.setFixedWidth(50)
self.buttonSave.setFixedWidth(50)
self.buttonClose.setFixedWidth(50)
self.buttonClose.clicked.connect(self.plotWin.editBox.close)
self.buttonSave.clicked.connect(self.updateTableValues)
self.buttonReset.clicked.connect(self.fillEditBox)
self.buttonsLayout.addStretch(1)
self.buttonsLayout.addWidget(self.buttonReset)
self.buttonsLayout.addWidget(self.buttonSave)
self.buttonsLayout.addWidget(self.buttonClose)
self.buttonsLayout.setContentsMargins(0,0,0,0)
self.buttonsFrame.setLayout(self.buttonsLayout)
layout.addWidget(self.buttonsFrame)
self.plotWin.editBox.setLayout(layout)
self.plotWin.editBox.setMaximumSize(layout.sizeHint())
self.plotWin.editBox.show()
def updateTableValues(self):
# Create temporary arrays
timeData = self.timeData.copy()
BMDchange = self.BMDchange.copy()
# Put the values from the tables into the temporary arrays
rows = self.tableResults.rowCount()
cols = self.tableResults.columnCount()
for r in xrange(rows):
for c in xrange(cols):
item = self.tableResults.item(r,c)
itemValue = float(item.text())
if c==0:
timeData[r] = itemValue
else:
BMDchange[r,c-1] = itemValue
# Check that time values are in increasing order. If so, then update arrays
if any(np.diff(timeData)<=0):
self.errorMessage = QtGui.QMessageBox()
self.errorMessage.setWindowIcon(self.icons['BMDanalyseIcon'])
self.errorMessage.setWindowTitle('BMDanalyse')
self.errorMessage.setText('Input error: Time values should be in order of increasing value')
self.errorMessage.setIcon(QtGui.QMessageBox.Warning)
self.errorMessage.open()
else:
self.timeData = timeData
self.BMDchange = BMDchange
self.createFigure()
self.mplw.draw()
self.plotWin.editBox.close()
class MainWindow(QtGui.QMainWindow):
def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self, parent)
self.loadIcons()
self.setupUserInterface()
self.setupSignals()
self.__version__ = __version__
# Initialise variables
self.imageFiles = {}
self.timeData = None
self.plotWin = None
self.imageWin = None
self.BMDchange = None
self.roiNames = None
def loadIcons(self):
""" Load icons """
self.icons = dict([
('BMDanalyseIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "logo.png"))),
('imageAddIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "file_add.png"))),
('imageRemIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons",
"file_delete2.png"))),
('imageDownIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "arrow-up-2.png"))),
('imageUpIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons",
"arrow-down-2.png"))),
('imagePrevIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "arrow-left.png"))),
('imageNextIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons",
"arrow-right.png"))),
('roiAddIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "green-add3.png"))),
('roiRectIcon',
QtGui.QIcon(
os.path.join(absDirPath, "icons", "rectangularIcon.png"))),
('roiPolyIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons",
"polygonIcon.png"))),
('roiRemIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "red_delete.png"))),
('roiSaveIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "filesave.png"))),
('roiCopyIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons", "file_copy.png"))),
('roiLoadIcon',
QtGui.QIcon(os.path.join(absDirPath, "icons",
"opened-folder.png")))
])
def setupUserInterface(self):
""" Initialise the User Interface """
# Left frame
leftFrame = QtGui.QFrame()
leftFrameLayout = QtGui.QHBoxLayout()
leftFrame.setLayout(leftFrameLayout)
leftFrame.setLineWidth(0)
leftFrame.setFrameStyle(QtGui.QFrame.Panel)
leftFrameLayout.setContentsMargins(0, 0, 5, 0)
# Left frame contents
self.viewMain = GraphicsLayoutWidget(
) # A GraphicsLayout within a GraphicsView
leftFrameLayout.addWidget(self.viewMain)
self.viewMain.setMinimumSize(200, 200)
self.vb = MultiRoiViewBox(lockAspect=True, enableMenu=True)
self.viewMain.addItem(self.vb)
self.vb.disableAutoRange()
# Right frame
self.sidePanel = SidePanel(self)
# UI window (containing left and right frames)
UIwindow = QtGui.QWidget(self)
UIwindowLayout = QtGui.QHBoxLayout()
UIwindowSplitter = QtGui.QSplitter(QtCore.Qt.Horizontal)
UIwindowLayout.addWidget(UIwindowSplitter)
UIwindow.setLayout(UIwindowLayout)
self.setCentralWidget(UIwindow)
UIwindowSplitter.addWidget(leftFrame)
UIwindowSplitter.addWidget(self.sidePanel)
# Application window
self.setWindowTitle('BMDanalyse')
self.setWindowIcon(self.icons['BMDanalyseIcon'])
self.setMinimumSize(600, 500)
self.resize(self.minimumSize())
# Window menus
self.createMenus()
self.createActions()
def createMenus(self):
# Menus
menubar = self.menuBar()
self.fileMenu = menubar.addMenu('&File')
self.roiMenu = menubar.addMenu('&ROIs')
self.submenu = self.roiMenu.addMenu(self.icons['roiAddIcon'],
"Add ROI")
self.analyseMenu = menubar.addMenu('&Analyse')
self.aboutMenu = menubar.addMenu('A&bout')
def createActions(self):
# Actions for File menu
self.loadImageAct = QtGui.QAction(self.icons['imageAddIcon'],
"&Load image(s)",
self,
shortcut="Ctrl+L")
self.removeImageAct = QtGui.QAction(self.icons['imageRemIcon'],
"&Remove current image",
self,
shortcut="Ctrl+X")
self.exitAct = QtGui.QAction("&Quit",
self,
shortcut="Ctrl+Q",
statusTip="Exit the application")
fileMenuActions = [
self.loadImageAct, self.removeImageAct, self.exitAct
]
fileMenuActFuncs = [self.loadImages, self.removeImage, self.close]
for i in xrange(len(fileMenuActions)):
action = fileMenuActions[i]
function = fileMenuActFuncs[i]
action.triggered[()].connect(function)
self.fileMenu.addAction(self.loadImageAct)
self.fileMenu.addAction(self.removeImageAct)
self.fileMenu.addSeparator()
self.fileMenu.addAction(self.exitAct)
# Actions for ROI menu
# Submenu to add ROIs
#self.addROIRectAct = QActionCustom("Rectangular",self.submenu)
#self.addROIPolyAct = QActionCustom("Polygon",self.submenu)
self.addROIRectAct = QtGui.QAction("Rectangular", self.submenu)
self.addROIPolyAct = QtGui.QAction("Polygon", self.submenu)
#self.addROIRectAct.clickEvent.connect(self.vb.addROI)
#self.addROIPolyAct.clickEvent.connect(self.vb.addPolyRoiRequest)
self.addROIRectAct.triggered[()].connect(self.vb.addROI)
self.addROIPolyAct.triggered[()].connect(self.vb.addPolyRoiRequest)
self.submenu.addAction(self.addROIRectAct)
self.submenu.addAction(self.addROIPolyAct)
self.addROIRectAct.setIcon(self.icons['roiRectIcon'])
self.addROIPolyAct.setIcon(self.icons['roiPolyIcon'])
self.addROIRectAct.setShortcut("Ctrl+Shift+R")
self.addROIPolyAct.setShortcut("Ctrl+Shift+P")
self.loadRoiAct = QtGui.QAction(self.icons['roiLoadIcon'],
"L&oad ROI",
self,
shortcut="Ctrl+O")
self.copyRoiAct = QtGui.QAction(self.icons['roiCopyIcon'],
"&Copy ROI",
self,
shortcut="Ctrl+C")
self.saveRoiAct = QtGui.QAction(self.icons['roiSaveIcon'],
"&Save ROI",
self,
shortcut="Ctrl+S")
self.remRoiAct = QtGui.QAction(self.icons['roiRemIcon'],
"&Remove ROI",
self,
shortcut="Ctrl+D")
roiMenuActions = [
self.loadRoiAct, self.copyRoiAct, self.saveRoiAct, self.remRoiAct
]
roiMenuActFuncs = [
self.vb.loadROI, self.vb.copyROI, self.vb.saveROI,
self.vb.removeROI
]
for i in xrange(len(roiMenuActions)):
action = roiMenuActions[i]
function = roiMenuActFuncs[i]
action.triggered[()].connect(function)
self.roiMenu.addAction(action)
# Actions for Analyse menu
self.roiAnalysisAct = QtGui.QAction("&ROI analysis",
self.viewMain,
shortcut="Ctrl+R",
triggered=self.getBMD)
self.imgAnalysisAct = QtGui.QAction("&Image analysis",
self.viewMain,
shortcut="Ctrl+I",
triggered=self.imageAnalysis)
self.analyseMenu.addAction(self.roiAnalysisAct)
self.analyseMenu.addAction(self.imgAnalysisAct)
# Actions for
self.aboutAct = QtGui.QAction("&About",
self.viewMain,
shortcut='F1',
triggered=self.onAbout)
self.aboutMenu.addAction(self.aboutAct)
def setupSignals(self):
""" Setup signals """
self.sidePanel.imageFileList.itemSelectionChanged.connect(
self.getImageToDisplay)
self.sidePanel.buttImageAdd.clicked.connect(self.loadImages)
self.sidePanel.buttImageRem.clicked.connect(self.removeImage)
self.sidePanel.buttImageUp.clicked.connect(self.sidePanel.moveImageUp)
self.sidePanel.buttImageDown.clicked.connect(
self.sidePanel.moveImageDown)
self.sidePanel.roiMenu.button1.clicked[()].connect(self.vb.addROI)
self.sidePanel.roiMenu.button2.clicked[()].connect(
self.vb.addPolyRoiRequest)
self.sidePanel.buttRoiCopy.clicked[()].connect(self.vb.copyROI)
self.sidePanel.buttRoiRem.clicked.connect(self.vb.removeROI)
self.sidePanel.buttRoiLoad.clicked.connect(self.vb.loadROI)
self.sidePanel.buttRoiSave.clicked.connect(self.vb.saveROI)
#self.vb.sigROIchanged.connect(self.updateROItools)
def onAbout(self):
""" About BMDanalyse message"""
author = 'Michael Hogg'
date = '2012 - 2013'
version = self.__version__
QtGui.QMessageBox.about(
self, 'About BMDanalyse', """
<b>BMDanalyse</b>
<p>A simple program for the analysis of a time series of Bone Mineral Density (BMD) images.</p>
<p>Used to evaluate the bone gain / loss in a number of regions of interest (ROIs) over time,
typically due to bone remodelling as a result of stress shielding around an orthopaedic implant.</p>
<p><table border="0" width="150">
<tr>
<td>Author:</td>
<td>%s</td>
</tr>
<tr>
<td>Version:</td>
<td>%s</td>
</tr>
<tr>
<td>Date:</td>
<td>%s</td>
</tr>
</table></p>
""" % (author, version, date))
def updateROItools(self, roi=None):
""" Update ROI info box in side panel """
if roi == None:
self.sidePanel.updateRoiInfoBox()
else:
roiState = roi.getState()
posx, posy = roiState['pos']
sizex, sizey = roiState['size']
angle = roiState['angle']
name = roi.name
pos = '(%.3f, %.3f)' % (posx, posy)
size = '(%.3f, %.3f)' % (sizex, sizey)
angle = '%.3f' % angle
self.sidePanel.updateRoiInfoBox(name, pos, size, angle)
def loadImages(self):
""" Load an image to be analysed """
newImages = {}
fileNames = QtGui.QFileDialog.getOpenFileNames(
self, self.tr("Load images"), QtCore.QDir.currentPath())
# Fix for PySide. PySide doesn't support QStringList types. PyQt4 getOpenFileNames returns a QStringList, whereas PySide
# returns a type (the first entry being the list of filenames).
if isinstance(fileNames, types.TupleType): fileNames = fileNames[0]
if hasattr(QtCore, 'QStringList') and isinstance(
fileNames, QtCore.QStringList):
fileNames = [str(i) for i in fileNames]
if len(fileNames) > 0:
for fileName in fileNames:
if fileName != '':
imgarr = np.array(Image.open(str(fileName)))
imgarr = imgarr.swapaxes(0, 1)
if imgarr.ndim == 2: imgarr = imgarr[:, ::-1]
elif imgarr.ndim == 3: imgarr = imgarr[:, ::-1, :]
newImages[fileName] = imgarr
# Add filenames to list widget. Only add new filenames. If filename exists aready, then
# it will not be added, but data will be updated
for fileName in sorted(newImages.keys()):
if not self.imageFiles.has_key(fileName):
self.sidePanel.addImageToList(fileName)
self.imageFiles[fileName] = newImages[fileName]
# Show image in Main window
self.vb.enableAutoRange()
if self.sidePanel.imageFileList.currentRow() == -1:
self.sidePanel.imageFileList.setCurrentRow(0)
self.showImage(
str(self.sidePanel.imageFileList.currentItem().text()))
self.vb.disableAutoRange()
def removeImage(self):
""" Remove image from sidePanel imageFileList """
# Return if there is no image to remove
if self.vb.img == None: return
# Get current image in sidePanel imageFileList and remove from list
currentRow = self.sidePanel.imageFileList.currentRow()
image = self.sidePanel.imageFileList.takeItem(currentRow)
imageName = str(image.text())
# Delete key and value from dictionary
if imageName != '': del self.imageFiles[imageName]
#self.imageFiles.pop(imageName,None)
# Get image item in imageFileList to replace deleted image
if self.sidePanel.imageFileList.count() == 0:
self.vb.enableAutoRange()
self.vb.removeItem(self.vb.img)
self.vb.showImage(None)
#self.vb.img = None
self.vb.disableAutoRange()
else:
currentRow = self.sidePanel.imageFileList.currentRow()
imageName = str(
self.sidePanel.imageFileList.item(currentRow).text())
self.showImage(imageName)
def showImage(self, imageFilename):
""" Shows image in main view """
self.arr = self.imageFiles[imageFilename]
self.vb.showImage(self.arr)
def getImageToDisplay(self):
""" Get current item in file list and display in main view"""
try:
imageFilename = str(
self.sidePanel.imageFileList.currentItem().text())
except:
pass
else:
self.showImage(imageFilename)
def getBMD(self):
""" Get change in BMD over time (e.g. for each image) for all ROIs.
Revised function that converts the list of images into a 3D array
and then uses the relative position of the ROIs to the current
image, self.vb.img, to get the average BMD value e.g. it doesn't use
setImage to change the image in the view. This requires that all
images are the same size and in the same position.
"""
# Return if there is no image or rois in view
if self.vb.img == None or len(self.vb.rois) == 0: return
# Collect all images into a 3D array
imageFilenames = self.sidePanel.getListOfImages()
images = [self.imageFiles[str(name.text())] for name in imageFilenames]
imageData = np.dstack(images)
numImages = len(images)
# Get BMD across image stack for each ROI
numROIs = len(self.vb.rois)
BMD = np.zeros((numImages, numROIs), dtype=float)
self.roiNames = []
for i in xrange(numROIs):
roi = self.vb.rois[i]
self.roiNames.append(roi.name)
arrRegion = roi.getArrayRegion(imageData, self.vb.img, axes=(0, 1))
avgROIvalue = arrRegion.mean(axis=0).mean(axis=0)
BMD[:, i] = avgROIvalue
# Calculate the BMD change (percentage of original)
tol = 1.0e-06
for i in xrange(numROIs):
if abs(BMD[0, i]) < tol:
BMD[:, i] = 100.
else:
BMD[:, i] = BMD[:, i] / BMD[0, i] * 100.
self.BMDchange = BMD - 100.
if self.timeData == None or self.timeData.size != numImages:
self.timeData = np.arange(numImages, dtype=float)
# Plot results
self.showResults()
def imageAnalysis(self):
# Generate images of BMD change
if self.vb.img == None: return
self.showImageWin()
def sliderValueChanged(self, value):
self.imageWin.sliderLabel.setText('BMD change: >= %d %s' %
(value, '%'))
self.setLookupTable(value)
self.imageWin.vb.img2.setLookupTable(self.lut)
def setLookupTable(self, val):
lut = []
for i in range(256):
if i > 127 + val:
lut.append(matplotlib.cm.jet(255))
elif i < 127 - val:
lut.append(matplotlib.cm.jet(0))
else:
lut.append((0.0, 0.0, 0.0, 0.0))
lut = np.array(lut) * 255
self.lut = np.array(lut, dtype=np.ubyte)
def createImageWin(self):
self.buttMinimumSize = QtCore.QSize(70, 36)
self.iconSize = QtCore.QSize(24, 24)
if self.imageWin == None:
self.imageWin = QtGui.QDialog(self, QtCore.Qt.WindowSystemMenuHint | QtCore.Qt.WindowTitleHint | \
QtCore.Qt.WindowMinimizeButtonHint | QtCore.Qt.WindowMaximizeButtonHint)
self.imageWin.setWindowTitle('BMDanalyse')
self.imageWin.setWindowIcon(self.icons['BMDanalyseIcon'])
self.imageWin.setMinimumSize(250, 500)
self.imageWin.resize(self.imageWin.minimumSize())
# Create viewBox
self.imageWin.glw = GraphicsLayoutWidget(
) # A GraphicsLayout within a GraphicsView
self.imageWin.vb = ImageAnalysisViewBox(lockAspect=True,
enableMenu=True)
self.imageWin.vb.disableAutoRange()
self.imageWin.glw.addItem(self.imageWin.vb)
arr = self.imageFiles.values()[0]
self.imageWin.vb.img1 = pg.ImageItem(arr,
autoRange=False,
autoLevels=False)
self.imageWin.vb.addItem(self.imageWin.vb.img1)
self.imageWin.vb.img2 = pg.ImageItem(None,
autoRange=False,
autoLevels=False)
self.imageWin.vb.addItem(self.imageWin.vb.img2)
self.imageWin.vb.autoRange()
lut = [[int(255 * val) for val in matplotlib.cm.gray(i)[:3]]
for i in xrange(256)]
lut = np.array(lut, dtype=np.ubyte)
self.imageWin.vb.img1.setLookupTable(lut)
# Label to show index of current image label
self.imageCurrCont = QtGui.QFrame()
self.imageCurrCont.setLineWidth(2)
self.imageCurrCont.setFrameStyle(QtGui.QFrame.Panel
| QtGui.QFrame.Raised)
self.imageCurrCont.setMinimumWidth(70)
self.imageWin.currLabel = QtGui.QLabel("")
self.imageWin.currLabel.setAlignment(QtCore.Qt.AlignHCenter)
imageCurrContLayout = QtGui.QHBoxLayout()
imageCurrContLayout.addWidget(self.imageWin.currLabel)
self.imageCurrCont.setLayout(imageCurrContLayout)
# Create buttons to select images
self.imageWin.buttCont = QtGui.QWidget()
self.imageWin.buttPrev = QtGui.QPushButton(
self.icons['imagePrevIcon'], "")
self.imageWin.buttNext = QtGui.QPushButton(
self.icons['imageNextIcon'], "")
self.buttLayout = QtGui.QHBoxLayout()
self.buttLayout.addStretch(1)
self.buttLayout.addWidget(self.imageWin.buttPrev)
self.buttLayout.addWidget(self.imageCurrCont)
self.buttLayout.addWidget(self.imageWin.buttNext)
self.buttLayout.addStretch(1)
self.imageWin.buttCont.setLayout(self.buttLayout)
self.imageWin.buttPrev.setMinimumSize(self.buttMinimumSize)
self.imageWin.buttNext.setMinimumSize(self.buttMinimumSize)
self.imageWin.buttPrev.setIconSize(self.iconSize)
self.imageWin.buttNext.setIconSize(self.iconSize)
self.buttLayout.setContentsMargins(0, 5, 0, 5)
self.imageWin.buttPrev.clicked.connect(self.prevImage)
self.imageWin.buttNext.clicked.connect(self.nextImage)
# Create slider
self.imageWin.sliderCon = QtGui.QWidget()
self.imageWin.slider = QtGui.QSlider(self)
self.imageWin.slider.setOrientation(QtCore.Qt.Horizontal)
self.imageWin.slider.setMinimum(1)
self.imageWin.slider.setMaximum(100)
self.imageWin.slider.setMinimumWidth(100)
self.imageWin.slider.valueChanged.connect(self.sliderValueChanged)
self.imageWin.sliderLabel = QtGui.QLabel('1')
self.imageWin.sliderLabel.setMinimumWidth(120)
self.sliderLayout = QtGui.QHBoxLayout()
self.sliderLayout.addStretch(1)
self.sliderLayout.addWidget(self.imageWin.sliderLabel)
self.sliderLayout.addWidget(self.imageWin.slider)
self.sliderLayout.addStretch(1)
self.imageWin.sliderCon.setLayout(self.sliderLayout)
self.sliderLayout.setContentsMargins(0, 0, 0, 5)
# Format image window
self.imageWinLayout = QtGui.QVBoxLayout()
self.imageWinLayout.addWidget(self.imageWin.glw)
self.imageWinLayout.addWidget(self.imageWin.buttCont)
self.imageWinLayout.addWidget(self.imageWin.sliderCon)
self.imageWin.setLayout(self.imageWinLayout)
self.imageWin.imagesRGB = None
# Show
self.imageWin.show()
self.imageWin.slider.setValue(10)
self.sliderValueChanged(10)
self.imageWinIndex = 0
def prevImage(self):
#numImages = len(self.imageFiles)
minIndex = 0
currIndex = self.imageWinIndex
prevIndex = currIndex - 1
self.imageWinIndex = max(prevIndex, minIndex)
self.updateImageWin()
def nextImage(self):
numImages = len(self.imageFiles)
maxIndex = numImages - 1
currIndex = self.imageWinIndex
nextIndex = currIndex + 1
self.imageWinIndex = min(nextIndex, maxIndex)
self.updateImageWin()
def updateImageWin(self):
imageFilenames = self.sidePanel.getListOfImages()
imageName = imageFilenames[self.imageWinIndex]
self.imageWin.vb.img1.setImage(self.imageFiles[str(imageName.text())],
autoLevels=False)
self.imageWin.vb.img2.setImage(
self.imageWin.imagesRGB[self.imageWinIndex], autoLevels=False)
self.imageWin.currLabel.setText(
"%i / %i" % (self.imageWinIndex + 1, len(imageFilenames)))
def showImageWin(self):
self.createImageWin()
#if self.imageWin.imagesRGB == None: self.imagesBMDpercentChange()
self.imagesBMDpercentChange()
self.updateImageWin()
def imagesBMDpercentChange(self):
# Get image arrays and convert to an array of floats
imageFilenames = self.sidePanel.getListOfImages()
images = [self.imageFiles[str(name.text())] for name in imageFilenames]
imagesConv = []
for img in images:
image = img.copy()
image[np.where(image == 0)] = 1
image = image.astype(np.float)
imagesConv.append(image)
# Calculate percentage change and set with limits -100% to +100%
imagesPercCh = []
imageInitial = imagesConv[0]
for image in imagesConv:
imagePercCh = (image - imageInitial) / imageInitial * 100.
imagePercCh[np.where(imagePercCh > 100.)] = 100.
imagePercCh[np.where(imagePercCh < -100.)] = -100.
imagesPercCh.append(imagePercCh)
numImages = len(imagesPercCh)
self.imageWin.imagesRGB = []
for i in xrange(numImages):
image = imagesPercCh[i]
sx, sy = image.shape
#imageCh = np.zeros((sx,sy),dtype=np.float)
imageRGB = image * (255 / 200.) + (255 / 2.)
self.imageWin.imagesRGB.append(imageRGB)
def BMDtoCSVfile(self):
""" Write BMD change to csv file """
fileName = QtGui.QFileDialog.getSaveFileName(None,
self.tr("Export to CSV"),
QtCore.QDir.currentPath(),
self.tr("CSV (*.csv)"))
# Fix for PyQt/PySide compatibility. PyQt returns a QString, whereas PySide returns a tuple (first entry is filename as string)
if isinstance(fileName, types.TupleType): fileName = fileName[0]
if hasattr(QtCore, 'QString') and isinstance(fileName, QtCore.QString):
fileName = str(fileName)
if not fileName == '':
#if not fileName.isEmpty():
textFile = open(fileName, 'w')
numFrames, numROIs = self.BMDchange.shape
roiNames = self.roiNames
header = "%10s," % 'Time'
header += ((numROIs - 1) * '%10s,' + '%10s\n') % tuple(roiNames)
textFile.write(header)
for i in xrange(numFrames):
textFile.write('%10.1f,' % self.timeData[i])
for j in xrange(numROIs):
if j < numROIs - 1: fmt = '%10.3f,'
else: fmt = '%10.3f\n'
textFile.write(fmt % self.BMDchange[i, j])
textFile.close()
def showResults(self, ):
""" Plots BMD change using matplotlib """
# Create plot window
if self.plotWin == None:
self.plotWin = QtGui.QDialog(self, QtCore.Qt.WindowSystemMenuHint | QtCore.Qt.WindowTitleHint | \
QtCore.Qt.WindowMinimizeButtonHint | QtCore.Qt.WindowMaximizeButtonHint)
self.plotWin.setWindowTitle('BMDanalyse')
self.plotWin.setWindowIcon(self.icons['BMDanalyseIcon'])
self.plotWin.setMinimumSize(600, 500)
self.plotWin.resize(self.minimumSize())
# Create Matplotlib widget
self.mplw = MatplotlibWidget(size=(5, 6))
self.fig = self.mplw.getFigure()
self.editDataButton = QtGui.QPushButton('Edit plot')
self.exportCSVButton = QtGui.QPushButton('Export data')
self.mplw.toolbar.addWidget(self.editDataButton)
self.mplw.toolbar.addWidget(self.exportCSVButton)
self.editDataButton.clicked.connect(self.showEditBox)
self.exportCSVButton.clicked.connect(self.BMDtoCSVfile)
# Format plot window
self.plotWinLayout = QtGui.QVBoxLayout()
self.plotWinLayout.addWidget(self.mplw)
self.plotWin.setLayout(self.plotWinLayout)
self.createFigure()
self.plotWin.show()
self.mplw.draw()
def createFigure(self):
""" Creates plot of results """
self.ax1 = self.fig.add_subplot(111)
self.ax1.clear()
self.fig.subplots_adjust(bottom=0.15, top=0.85, left=0.15, right=0.925)
numFrames, numROIs = self.BMDchange.shape
t = self.timeData
# Plot data
for i in xrange(numROIs):
roiname = self.roiNames[i]
self.ax1.plot(t,
self.BMDchange[:, i],
'-o',
label=roiname,
linewidth=2.0)
kwargs = dict(y=1.05) # Or kwargs = {'y':1.05}
self.ax1.set_title('Change in Bone Mineral Density over time',
fontsize=14,
fontweight='roman',
**kwargs)
self.ax1.set_xlabel('Time', fontsize=10)
self.ax1.set_ylabel('Change in BMD (%)', fontsize=10)
self.ax1.legend(loc=0)
matplotlib.pyplot.setp(self.ax1.get_xmajorticklabels(), fontsize=10)
matplotlib.pyplot.setp(self.ax1.get_ymajorticklabels(), fontsize=10)
matplotlib.pyplot.setp(self.ax1.get_legend().get_texts(), fontsize=10)
self.ax1.grid()
def fillEditBox(self):
rows, cols = self.BMDchange.shape
for i in xrange(rows):
itmValue = '%.2f' % self.timeData[i]
itm = QtGui.QTableWidgetItem(itmValue)
self.tableResults.setItem(i, 0, itm)
for j in xrange(cols):
itmValue = '%.2f' % self.BMDchange[i, j]
itm = QtGui.QTableWidgetItem(itmValue)
self.tableResults.setItem(i, j + 1, itm)
def showEditBox(self):
self.plotWin.editBox = QtGui.QDialog(
self.plotWin,
QtCore.Qt.WindowSystemMenuHint | QtCore.Qt.WindowTitleHint)
self.plotWin.editBox.setWindowIcon(self.icons['BMDanalyseIcon'])
self.plotWin.editBox.setWindowTitle('BMDanalyse')
self.plotWin.editBox.setModal(True)
# Add table
layout = QtGui.QVBoxLayout()
layout.setContentsMargins(10, 10, 10, 10)
layout.setSpacing(20)
rows, cols = self.BMDchange.shape
self.tableResults = MyTableWidget(rows, cols + 1, self.plotWin.editBox)
self.tableResults.verticalHeader().setVisible(True)
# Set headers
self.tableResults.setHorizontalHeaderItem(
0, QtGui.QTableWidgetItem('Time'))
for i in xrange(cols):
header = QtGui.QTableWidgetItem(self.roiNames[i])
self.tableResults.setHorizontalHeaderItem(i + 1, header)
# Add values to table
self.fillEditBox()
# Set layout
layout.addWidget(self.tableResults)
self.buttonsFrame = QtGui.QFrame()
self.buttonsLayout = QtGui.QHBoxLayout()
self.buttonReset = QtGui.QPushButton('Reset')
self.buttonSave = QtGui.QPushButton('Save')
self.buttonClose = QtGui.QPushButton('Cancel')
self.buttonReset.setFixedWidth(50)
self.buttonSave.setFixedWidth(50)
self.buttonClose.setFixedWidth(50)
self.buttonClose.clicked.connect(self.plotWin.editBox.close)
self.buttonSave.clicked.connect(self.updateTableValues)
self.buttonReset.clicked.connect(self.fillEditBox)
self.buttonsLayout.addStretch(1)
self.buttonsLayout.addWidget(self.buttonReset)
self.buttonsLayout.addWidget(self.buttonSave)
self.buttonsLayout.addWidget(self.buttonClose)
self.buttonsLayout.setContentsMargins(0, 0, 0, 0)
self.buttonsFrame.setLayout(self.buttonsLayout)
layout.addWidget(self.buttonsFrame)
self.plotWin.editBox.setLayout(layout)
self.plotWin.editBox.setMaximumSize(layout.sizeHint())
self.plotWin.editBox.show()
def updateTableValues(self):
# Create temporary arrays
timeData = self.timeData.copy()
BMDchange = self.BMDchange.copy()
# Put the values from the tables into the temporary arrays
rows = self.tableResults.rowCount()
cols = self.tableResults.columnCount()
for r in xrange(rows):
for c in xrange(cols):
item = self.tableResults.item(r, c)
itemValue = float(item.text())
if c == 0:
timeData[r] = itemValue
else:
BMDchange[r, c - 1] = itemValue
# Check that time values are in increasing order. If so, then update arrays
if any(np.diff(timeData) <= 0):
self.errorMessage = QtGui.QMessageBox()
self.errorMessage.setWindowIcon(self.icons['BMDanalyseIcon'])
self.errorMessage.setWindowTitle('BMDanalyse')
self.errorMessage.setText(
'Input error: Time values should be in order of increasing value'
)
self.errorMessage.setIcon(QtGui.QMessageBox.Warning)
self.errorMessage.open()
else:
self.timeData = timeData
self.BMDchange = BMDchange
self.createFigure()
self.mplw.draw()
self.plotWin.editBox.close()
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
self.createActions()
self.createMenus()
self.setGeometry(100, 100, 600, 900)
self.centralWidget = QWidget()
# GrphicsWidget()
layout = QHBoxLayout(self.centralWidget)
self.scrollArea = QScrollArea(self)
self.mw = MatplotlibWidget(size=(3.0, 40.0), dpi=100)
lplot = self.mw.getFigure().add_subplot(121)
self.ax = self.mw.getFigure().gca()
l, b, w, h = self.ax.get_position().bounds
# print(l, b, w, h)
# self.ax.invert_yaxis()
self.ax.set_position([0.125, 0.05, 0.5, 0.94])
# l, b, w, h = self.ax.get_position().bounds
# print(l, b, w, h)
self.mw.draw()
# self.plotlayout.addWidget(self.mw)
self.scrollArea.setWidget(self.mw)
layout.addWidget(self.scrollArea)
self.setCentralWidget(self.centralWidget)
self.lastree = LasTree()
self.logtree = LasTree()
self.wellLoad()
self.logtree.set_files(['GR', 'BS'])
self.logtree.buildTreeWidget()
self.logtree.tree.itemSelectionChanged.connect(self.logPlot)
self.createDockWindows()
# self.logFileList.itemSelectionChanged.connect(self.lasLoad)
# if not self.las_just_selected:
# self.logList.itemSelectionChanged.connect(self.logPlot)
self.setWindowTitle("Loggy")
# self.newLetter()
def wellLoad(self):
self.wellFolder = well_folder
self.files = []
for f in np.array(os.listdir(self.wellFolder)[:]):
if f[-4:].lower() in ['.las', 'dlis']:
self.files.append(f)
self.files = np.array(self.files)
files_w_path = [self.wellFolder + f for f in self.files]
cols = []
# self.files=np.array(os.listdir(self.wellFolder)[:])
self.lastree.set_files(self.files)
self.lastree.buildTreeWidget()
self.lastree.tree.itemSelectionChanged.connect(self.lasLoad)
self.lasLoadThread = LasLoadThread(files=files_w_path)
# def lasBackgroundLoad():
def lasLoad(self):
las_name = self.lastree.tree.selectedItems()[0].text(
0) #self.logFileList.selectedItems()[0].text()
if las_name in ['TVD', 'MD', 'LWD', 'WireLine']:
return
findex = np.where(self.files == las_name)[0][0]
# print(findex)
Loaded = False
while (not Loaded):
if (findex < len(self.lasLoadThread.Lases)):
self.las = self.lasLoadThread.Lases[findex]
Loaded = True
self.logtree.tree.clear()
# print('hi')
else:
# print('hello')
# self.logtree.addItems(['Loading....'])
time.sleep(1)
if len(self.logtree.tree.selectedItems()) > 0:
item = self.logtree.tree.selectedItems()[0]
# print(dir(item))
item.setSelected = False
if not (len(self.las.keys()) < 1):
# self.logtree = LasTree(self.las.keys())
self.logtree.set_files(self.las.keys())
self.logtree.buildTreeWidget()
dcol = self.las.keys()[find_depth_indx(self.las)]
self.depth_col = str_array2floats(self.las[dcol])
# else:
# self.las_just_selected = True
def logPlot(self):
# print(self.mw.getFigure().)
# pass
# if not self.las_just_selected:
if len(self.logtree.tree.selectedItems()) > 0:
keycol = self.logtree.tree.selectedItems()[0].text(0)
try:
self.log_col = str_array2floats(self.las[keycol])
self.ax = LogPlot.basicPlot(self.ax,
self.depth_col,
self.log_col,
lcolor='#800000')
self.ax.set_ylim(500, 3000)
self.ax.invert_yaxis()
except:
print('Unable to convert log to floats')
self.mw.draw()
def set_category(self):
# qt_app = QApplication(sys.argv)
# mnomonicsfile=mnomonicsfile
# print(self.logtree.treeview_dict)
# set_category_app = Categorize(self.logtree.treeview_dict,mnomonicsfile)
print('*************************************************')
print(self.logtree.treeview_dict)
category_window = Categorize(self)
category_window.set_params(self.logtree, mnomonicsfile)
category_window.show()
# self.logtree.tree.clear()
# self.logtree.buildTreeWidget()
# set_category_app.run()
# self.logtree.buildTreeWidget()
def createDockWindows(self):
dock = QDockWidget("Log Files", self)
dock.setAllowedAreas(Qt.LeftDockWidgetArea | Qt.RightDockWidgetArea)
dock.setWidget(self.lastree.tree)
#
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
self.set_category_button = QPushButton('Set Category', self)
# self.layout.addWidget(self.logtree.tree)
dock = QDockWidget("Set", self)
dock.setWidget(self.set_category_button)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
dock = QDockWidget("Logs", self)
dock.setWidget(self.logtree.tree)
self.addDockWidget(Qt.LeftDockWidgetArea, dock)
self.set_category_button.clicked.connect(self.set_category)
def createActions(self):
self.exitAct = QAction("E&xit",
self,
shortcut="Ctrl+Q",
triggered=self.close)
self.openFileAct = QAction("&Open",
self,
shortcut="Ctrl+O",
triggered=self.file_open)
self.aboutAct = QAction("&About", self, triggered=self.about)
def createMenus(self):
self.fileMenu = QMenu("&File", self)
# self.fileMenu.addAction(self.openAct)
# self.fileMenu.addAction(self.printAct)
self.fileMenu.addSeparator()
self.fileMenu.addAction(self.openFileAct)
self.fileMenu.addAction(self.exitAct)
self.helpMenu = QMenu("&Help", self)
self.helpMenu.addAction(self.aboutAct)
# self.helpMenu.addAction(self.aboutQtAct)
self.menuBar().addMenu(self.fileMenu)
# self.menuBar().addMenu(self.viewMenu)
# self.menuBar().addMenu(self.digitizeMenu)
self.menuBar().addMenu(self.helpMenu)
self.file_toolbar = QToolBar("File")
self.file_toolbar.setIconSize(QSize(24, 24))
self.addToolBar(self.file_toolbar)
def about(self):
QMessageBox.about(
self, "About Log splicer",
"<p>The <b>Image Viewer</b> example shows how to combine "
"(QScrollArea.widgetResizable), can be used to implement "
"zooming and scaling features.</p>"
"<p>In addition the example shows how to use QPainter to "
"print an image.</p>")
def file_open(self):
print('Not yet set')
