Matplotlib使用OO API显示寄生轴

Question

如何使用OOAPI使用寄生虫轴（嵌入PyQt4中的图），我完全被难住了。我想根据下面的代码绘制与绘图的轴偏移。但是，在PyQt4中html" target="_blank">嵌入matplotlib时，不能使用pyplot或host_子Plot。

from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
import matplotlib.pyplot as plt

host = host_subplot(111, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)

par1 = host.twinx()
par2 = host.twinx()

offset = 60
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
                                axes=par2,
                                offset=(offset, 0))

par2.axis["right"].toggle(all=True)

host.set_xlim(0, 2)
host.set_ylim(0, 2)

par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")

p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")

par1.set_ylim(0, 4)
par2.set_ylim(1, 65)

plt.draw()
plt.show()

我确实设法通过创建两个图形来绘制偏移轴，并根据这里的问题链接它们的轴：

matplotlib显示一个轴，没有数据

这是我的首选方法，因为它允许我在图形之间放一个QSplitter，但是我不能让上面的图形只显示X轴——一些图形图形和它的数据总是显示，不管我把y轴设置得有多小是。

然后，我尝试在一个单独的QWidget中绘制我自己的偏移轴，通过获得绘图轴几何形状：

ax = foo.figure.add_subplot(1,1,1)
lineGeometry = [ax.bbox.x0, etc.]

然后使用轴几何形状绘制Qt线。QPainter（）相同的开始/结束位置，但在单独的QWidget中偏离了情节。这有点笨拙，我更喜欢更简单的方法。

任何使用嵌入Qt4的寄生轴的帮助都将不胜感激。

Answer 1

感谢我在上面提到的上一篇文章中的评论，我设法解决了你可以在PyQt4中使用matplotlib.pyplot，但是使用qt4后端进行显示。下面是一个冗长的（道歉）例子。代码有一个错误，尽管两个图似乎都在互相绘制，不确定发生了什么：

import sys
from PyQt4 import QtGui, QtCore
import numpy as np
import matplotlib
from matplotlib.patches import Circle
from matplotlib.collections import PatchCollection
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as     FigureCanvas
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
from matplotlib.figure import Figure

class ApplicationWindow(QtGui.QMainWindow):
    def __init__(self):
        QtGui.QMainWindow.__init__(self)
        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
        self.main_widget = QtGui.QWidget(self)
        l = QtGui.QVBoxLayout(self.main_widget)
        dc = PyPlotCanvas(self.main_widget, width=5, height=4, dpi=100)
        ac = AxisArtistOO(self.main_widget, width=5, height=4, dpi=100)
        l.addWidget(dc)
        l.addWidget(ac)
        self.main_widget.setFocus()
        self.setCentralWidget(self.main_widget)

class PyPlotCanvas(FigureCanvas):
    """Matplotlib pyplot as FigureCanvas"""
    def __init__(self, parent=None, width=5, height=4, dpi=100):
        self.fig = Figure(figsize=(width, height), dpi=dpi)
        self.axes = self.fig.add_subplot(111)
        self.compute_initial_figure()
        FigureCanvas.__init__(self, self.fig)
        self.setParent(parent)
        FigureCanvas.setSizePolicy(self,
                               QtGui.QSizePolicy.Expanding,
                               QtGui.QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

    def compute_initial_figure(self):
        fig, ax = plt.subplots()
        N = 3
        x       = np.random.rand(N)
        y       = np.random.rand(N)
        radii   = 0.1*np.random.rand(N)
        patches = []
        for x1,y1,r in zip(x, y, radii):
            circle = Circle((x1,y1), r)
            patches.append(circle)
        colors = 100*np.random.rand(len(patches))
        p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
        p.set_array(np.array(colors))
        ax.add_collection(p)
        plt.colorbar(p)
        self.fig = fig

class AxisArtistOO(FigureCanvas):
    def __init__(self, parent=None, width=5, height=4, dpi=100):
        self.fig = Figure(figsize=(width, height), dpi=dpi)
        self.axes = self.fig.add_subplot(111)
        self.compute_initial_figure()
        FigureCanvas.__init__(self, self.fig)
        self.setParent(parent)
        FigureCanvas.setSizePolicy(self,
                               QtGui.QSizePolicy.Expanding,
                               QtGui.QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

    def compute_initial_figure(self):
        host = host_subplot(111, axes_class=AA.Axes)
        plt.subplots_adjust(right=0.75)
        par1 = host.twinx()
        par2 = host.twinx()
        offset = 60
        new_fixed_axis = par2.get_grid_helper().new_fixed_axis
        par2.axis["right"] = new_fixed_axis(loc="right",
                                    axes=par2,
                                    offset=(offset, 0))
        par2.axis["right"].toggle(all=True)
        host.set_xlim(0, 2)
        host.set_ylim(0, 2)
        par1.set_ylabel("Temperature")
        par2.set_ylabel("Velocity")
        p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
        p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
        par1.set_ylim(0, 4)
        par2.set_ylim(1, 65)
        fig, ax = plt.subplots()
        self.fig = fig

qApp = QtGui.QApplication(sys.argv)
aw = ApplicationWindow()
aw.show()
sys.exit(qApp.exec_())