本文整理汇总了Python中matplotlib.backends.backend_qt4agg.NavigationToolbar2QT.home方法的典型用法代码示例。如果您正苦于以下问题：Python NavigationToolbar2QT.home方法的具体用法？Python NavigationToolbar2QT.home怎么用？Python NavigationToolbar2QT.home使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.backends.backend_qt4agg.NavigationToolbar2QT的用法示例。
在下文中一共展示了NavigationToolbar2QT.home方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: MainWindow
# 需要导入模块: from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT [as 别名]
# 或者: from matplotlib.backends.backend_qt4agg.NavigationToolbar2QT import home [as 别名]
class MainWindow(QtGui.QMainWindow, mw.Ui_MainWindow):
def __init__(self, parent=None):
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.datalst = []
self.modellst = []
self.lstdatamodel = QtGui.QStandardItemModel(self.listView)
self.listView.setModel(self.lstdatamodel)
self.current_lst_index = -1
self.addButton.clicked.connect(self.add)
self.removeButton.clicked.connect(self.remove)
self.actionCalcLSSParameter.triggered.connect(self.calculatelss)
self.actionAutomaticElutionWindowStretching.triggered.connect(self.calcautelwindowstretch)
self.actionSelectivityMap.triggered.connect(self.pltselectivitymap)
self.actionResolutionMap.triggered.connect(self.pltresolutionmap)
self.actionAbout.triggered.connect(self.about)
self.actionQuit.triggered.connect(self.quit)
self.listView.clicked.connect(self.viewmatrix)
self.toolBox.currentChanged.connect(self.viewmatrix)
self.zoomButton.clicked.connect(self.zoom)
self.panButton.clicked.connect(self.pan)
self.rescaleButton.clicked.connect(self.home)
self.modelBox.currentIndexChanged.connect(self.gradientanalyser)
self.doubleSpinBox_1.valueChanged.connect(self.gradientanalyser)
self.doubleSpinBox_2.valueChanged.connect(self.gradientanalyser)
self.doubleSpinBox_3.valueChanged.connect(self.gradientanalyser)
self.doubleSpinBox_4.valueChanged.connect(self.gradientanalyser)
self.doubleSpinBox_5.valueChanged.connect(self.gradientanalyser)
self.ColumnLenghtSpinBox.valueChanged.connect(self.gradientanalyser)
self.CulumnDiameterSpinBox.valueChanged.connect(self.gradientanalyser)
self.ColumnPorositySpinBox.valueChanged.connect(self.gradientanalyser)
# Add plot
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
# set the layout
layout_chormatogram = QtGui.QVBoxLayout()
layout_chormatogram.addWidget(self.canvas)
self.plotterBox.setLayout(layout_chormatogram)
# Add selectivity map plot
#self.figure_smap = plt.figure()
#self.canvas_smap = FigureCanvas(self.figure_smap)
#self.toolbar_smap = NavigationToolbar(self.canvas_smap, self)
#self.toolbar_smap.hide()
#layout_smap = QtGui.QVBoxLayout()
#layout_smap.addWidget(self.canvas_smap)
#self.plotterBox_2.setLayout(layout_smap)
self.tablemodel = TableModel(self)
self.tableView.setModel(self.tablemodel)
self.tableView.setContextMenuPolicy(QtCore.Qt.CustomContextMenu)
self.tableView.customContextMenuRequested.connect(self.openTableMenu)
# constant parameters
self.crit_resolution = 1.8
self.crit_alpha = 1.1
def openTableMenu(self, position):
""" context menu event """
menu = QtGui.QMenu(self)
exportAction = menu.addAction("Export table as CSV")
action = menu.exec_(self.tableView.viewport().mapToGlobal(position))
if action == exportAction:
fname = QtGui.QFileDialog.getSaveFileName(self, "Save File", "CSV (*.csv)");
#fname = QtGui.getSaveFileName.getOpenFileName(self, tr('Save File'), )
self.tablemodel.SaveTable(fname)
else:
return
return
def keyPressEvent(self, e):
if (e.modifiers() & QtCore.Qt.ControlModifier):
if e.key() == QtCore.Qt.Key_C: #copy
if len(self.tableView.selectionModel().selectedIndexes()) > 0:
previous = self.tableView.selectionModel().selectedIndexes()[0]
columns = []
rows = []
for index in self.tableView.selectionModel().selectedIndexes():
if previous.column() != index.column():
columns.append(rows)
rows = []
rows.append(str(index.data().toPyObject()))
previous = index
columns.append(rows)
# add rows and columns to clipboard
clipboard = ""
nrows = len(columns[0])
ncols = len(columns)
for r in xrange(nrows):
#.........这里部分代码省略.........
示例2: Window
# 需要导入模块: from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT [as 别名]
# 或者: from matplotlib.backends.backend_qt4agg.NavigationToolbar2QT import home [as 别名]
#.........这里部分代码省略.........
self.get_data()
self.plot()
print 'View changed to: ', self.view
def comboActivated(self, text):
self.tag = text
self.data = self.b.getvar(self.tag)
self.plot()
def reset_bifrost_obj(self):
self.b, self.base_name, self.snap_n = get_bifrost_obj(self.fpath,0,self.check_aux.isChecked())
print self.b.snapvars
self.get_data()
def get_data(self):
self.data = self.b.getvar(self.tag)
if self.view == 'X-Y':
self.slide_dimension = 2
elif self.view == 'X-Z':
self.slide_dimension = 1
elif self.view == 'Y-Z':
self.slide_dimension = 0
self.slider.setMinimum(0)
self.slider.setMaximum(self.data.shape[self.slide_dimension]-1)
if self.slider.value() >= self.data.shape[self.slide_dimension]:
self.slider.setValue(self.data.shape[self.slide_dimension]-1)
elif self.slider.value() < 0:
self.slider.setValue(0)
self.setCombo()
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
def pan(self):
self.toolbar.pan()
def plot(self):
plt.clf()
ax = self.figure.add_subplot(111)
slice_str = '[?]'
# extension = []
if self.view == 'X-Y':
image = self.data[:,:,self.slider.value()]
slice_str = 'z = %f ' % self.b.z[self.slider.value()]
ax.set_ylabel('y-direction')
ax.set_xlabel('x-direction')
# extension = [0, self.param['mx'], 0, self.param['my']]
elif self.view == 'X-Z':
image = self.data[:,self.slider.value(),:]
slice_str = 'y = %f ' % self.b.y[self.slider.value()]
ax.set_ylabel('z-direction')
ax.set_xlabel('x-direction')
# extension = [0, self.param['mx'], 0, self.param['mz']]
elif self.view == 'Y-Z':
image = self.data[self.slider.value(),:,:]
slice_str = 'x = %f ' % self.b.x[self.slider.value()]
ax.set_ylabel('z-direction')
ax.set_xlabel('y-direction')
# extension = [0, self.param['my'], 0, self.param['mz']]
# image = np.fliplr(image)
# image = np.rot90(image,k=3)