pylab.get_current_fig_manager().canvas.flush_events() 开发者ID:JoErNanO,项目名称:brian,代码行数:15,代码来源:plotting.py 示例9: __init__ ▲点赞 1▼ def__init__(self):self.win = gtk.Window()#win.connect("destroy", lambda x: gtk.main_quit())self.win.connect("delete-event", self...
(0, 2 * np.pi, 0.01) ax.plot(xx, np.sin(xx)) w = fig.get_figwidth() ax.text(1.5, 0, "Value Return by get_figwidth() : " + str(w), fontweight ="bold") fig.canvas.draw() fig.suptitle('matplotlib.figure.Figure.get_figwidth() \ function Example', fontweight ="bold") ...
Matplotlib是Python中最流行的数据可视化库之一,而pyplot是Matplotlib中的一个重要模块,提供了类似MATLAB的绘图接口。在数据可视化中,图例(legend)是一个非常重要的元素,它帮助读者理解图表中不同数据系列的含义。本文将详细介绍Matplotlib.pyplot中的figlegend()函数,这是一个用于创建图例的强大工具。 1. figlegend()...
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.figure import Figure from mpl_toolkits.axisartist.axislines import Subplot import numpy as np fig = plt.figure() ax = Subplot(fig, 111) fig.add_subplot(ax) fig.set_figheight(7.6) fig.suptitle("""matplotlib...
self.fig.subplots_adjust(left=0,right=1,top=1,bottom=0)#QT canvasself.canvas = FigureCanvas(self.fig) self.canvas.setParent(self) self.canvas.mpl_connect('pick_event', self.on_pick)#used when selectingpyth canvas objectsself.canvas.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy...
self.fig.subplots_adjust(left=0,right=1,top=1,bottom=0)#QT canvasself.canvas = FigureCanvas(self.fig) self.canvas.setParent(self) self.canvas.mpl_connect('pick_event', self.on_pick)#used when selectingpyth canvas objectsself.canvas.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy...
(0, 2 * np.pi, 0.01) ax.plot(xx, np.sin(xx)) w = fig.get_figheight() ax.text(1.5, 0, "Value Return by get_figheight() : " + str(w), fontweight ="bold") fig.canvas.draw() fig.suptitle('matplotlib.figure.Figure.get_figheight()\ function Example', fontweight ="bold")...
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.figure import Figure from mpl_toolkits.axisartist.axislines import Subplot import numpy as np fig = plt.figure() ax = Subplot(fig, 111) fig.add_subplot(ax) fig.set_figwidth(7.6) fig.suptitle("""matplotlib...