本文整理汇总了Python中matplotlib.backends.backend_qt5agg.NavigationToolbar2QT.edit_parameters方法的典型用法代码示例。如果您正苦于以下问题：Python NavigationToolbar2QT.edit_parameters方法的具体用法？Python NavigationToolbar2QT.edit_parameters怎么用？Python NavigationToolbar2QT.edit_parameters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_qt5agg.NavigationToolbar2QT的用法示例。
在下文中一共展示了NavigationToolbar2QT.edit_parameters方法的1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: Widgetmain
# 需要导入模块: from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.NavigationToolbar2QT import edit_parameters [as 别名]
class Widgetmain(QtWidgets.QWidget):
def __init__(self, parent=None):
super(Widgetmain, self).__init__(parent)
self.figure = Figure()
# plt.subplots_adjust(left=0.031, right=0.999, top=0.99, bottom=0.03)
# plt.subplots_adjust(left=0.001, right=0.999, top=0.999, bottom=0.001)
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
# uncomment for disabling plot toolbar, not recommended
self.toolbar.hide()
# set the layout
self.layout = QtWidgets.QVBoxLayout()
self.layout.addWidget(self.toolbar)
self.layout.addWidget(self.canvas)
self.setLayout(self.layout)
# set the plot class handlers
self.wzoom = plot_tools.WheellZoom()
self.adapt = plot_tools.WindowResize() # keep tight layout
self.cursor = plot_tools.SnaptoCursor()
self.selector = plot_tools.Select()
self.selection = plot_tools.Selection()
self.dataplot = None
def setStatus(self, stat):
self.statusbar = stat
def save_plot(self):
self.toolbar.save_figure()
def axis_configure(self):
self.toolbar.edit_parameters()
def plot(self, xaxis=None, real=None, imag=None, magn=None, hxlimit=None, lxlimit=None, datas=None):
# self.dataplot.clear()
# if self.dataplot:
# self.figure.delaxes(self.dataplot)
if self.dataplot is None:
self.dataplot = self.figure.add_subplot(111)
self.figure.patch.set_facecolor("white")
self.selector.setAx(self.dataplot, hxlimit, lxlimit, xaxis.size, datas, self.selection)
# self.dataplot = self.figure.add_subplot(111)
# self.selector.setAx(self.dataplot, hxlimit, lxlimit, xaxis.size, datas, self.selection)
self.statusbar.showMessage("Plot updated")
self.dataplot.hold(False)
self.dataplot.plot(xaxis, real, "r-", xaxis, imag, "g-", xaxis, magn, "-")
# uncomment for matlibplot standard cursor
# cursor = Cursor(dataplot, useblit=True, color='black', linewidth=1 )
self.wzoom.setAx(self.dataplot, self.selection, datas)
self.cursor.setAx(datas, self.dataplot, xaxis, real, self.statusbar)
self.adapt.setAx(self.dataplot, self.figure)
self.selection.setAx(self.dataplot, datas)
self.figure.tight_layout()
# dataplot.set_autoscaley_on(False) for auto x scale
# setting background color
# self.figure.patch.set_visible(False)
# self.figure.patch.set_facecolor('white')
self.dataplot.set_xlim([lxlimit, hxlimit])
# uncomment the following line for raw axis label inside plot
# self.dataplot.tick_params(direction='in', pad=-19)
# uncomment the following lines to disable plot toolbar mouse coordinates
# def format_coord(x, y):
# return ' '
# self.dataplot.format_coord = format_coord
self.canvas.draw()