带有可单击和可选点的PyQt4散点图
作者:互联网
我正在尝试以一种方式创建一个散点图,该散点图具有大约1000个数据点,以便可以通过使用鼠标单击来选择每个数据点,这将导致弹出一个上下文菜单,该菜单将允许用户删除或更改数据点的颜色.我一直在关注matplotlib的教程,并查看可拖动的矩形练习,但是我遇到了困难.我正在使用matplotlib.patches.Circle类来表示每个数据点,但无法使“包含”方法与“ button_press_event”一起正常工作.主要是,似乎没有与每个Circle对象相关联的“画布”对象.我在第16行收到以下错误:
AttributeError: 'NoneType' object has no attribute 'canvas'
这是代码:
#!/usr/bin/python -tt
import sys
import numpy
#import matplotlib.pyplot
from PyQt4 import QtGui, QtCore
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.patches import Circle
class SelectablePoint:
def __init__(self, xy, label):
self.point = Circle( (xy[0], xy[0]), .005 )
self.label = label
self.point.figure
self.cidpress = self.point.figure.canvas.mpl_connect('button_press_event', self.onClick)
def onClick(self, e):
print e.xdata, e.ydata
#print(dir(self.point))
print self.point.center
print self.point.contains(e)[0]
#if self.point.contains(e)[0]:
# print self.label
class ScatterPlot(FigureCanvas):
'''
classdocs
'''
def __init__(self, parent=None):
'''
Constructor
'''
self.fig = Figure()
FigureCanvas.__init__(self, self.fig)
self.axes = self.fig.add_subplot(111)
#x = numpy.arange(0.0, 3.0, 0.1)
#y = numpy.cos(2*numpy.pi*x)
x = [.5]
y = [.5]
#scatterplot = self.axes.scatter(x,y)
for i in range(len(x)):
c = Circle( (x[i], y[i]), .05 )
self.axes.add_patch(c)
#SelectablePoint( (x[i],y[i]), 'label for: ' + str(i), self.figure.canvas )
SelectablePoint( (x[i],y[i]), 'label for: ' + str(i) )
#self.axes.add_artist(c)
class MainContainer(QtGui.QMainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
self.resize(900,600)
self.setWindowTitle('Scatter Plot')
sp = ScatterPlot(self)
self.setCentralWidget(sp)
self.center()
def center(self):
# Get the resolution of the screen
screen = QtGui.QDesktopWidget().screenGeometry()
# Get the size of widget
size = self.geometry()
self.move( (screen.width() - size.width())/2, (screen.height() - size.height())/2 )
if __name__ == '__main__':
app = QtGui.QApplication(sys.argv)
b = MainContainer()
b.show()
sys.exit(app.exec_())
我不确定是否要采用正确的方法,还是应该查看其他图形模块,但是我已经看过gnuplot和chaco,我觉得matplotlib更适合我的问题.还有其他建议吗?非常感谢你.
**我的解决方案**
到目前为止,这是我的工作.单击散点图中的点时,它仅将每个数据点的标签输出到标准输出.
#!/usr/bin/python -tt
import sys
import numpy
from PyQt4 import QtGui, QtCore
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.patches import Circle
class SelectablePoint:
def __init__(self, xy, label, fig):
self.point = Circle( (xy[0], xy[1]), .25, figure=fig)
self.label = label
self.cidpress = self.point.figure.canvas.mpl_connect('button_press_event', self.onClick)
def onClick(self, e):
if self.point.contains(e)[0]:
print self.label
class ScatterPlot(FigureCanvas):
'''
classdocs
'''
def __init__(self, parent=None):
'''
Constructor
'''
self.fig = Figure()
FigureCanvas.__init__(self, self.fig)
self.axes = self.fig.add_subplot(111)
xlim = [0,7]
ylim = [0,7]
self.axes.set_xlim(xlim)
self.axes.set_ylim(ylim)
self.axes.set_aspect( 1 )
x = [1, 1.2, 3, 4, 5, 6]
y = [1, 1.2, 3, 4, 5, 6]
labels = ['1', '2', '3', '4', '5', '6']
for i in range(len(x)):
sp = SelectablePoint( (x[i],y[i]), labels[i], self.fig)
self.axes.add_artist(sp.point)
class MainContainer(QtGui.QMainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
self.resize(900,600)
self.setWindowTitle('Scatter Plot')
sp = ScatterPlot(self)
self.setCentralWidget(sp)
self.center()
def center(self):
# Get the resolution of the screen
screen = QtGui.QDesktopWidget().screenGeometry()
# Get the size of widget
size = self.geometry()
self.move( (screen.width() - size.width())/2, (screen.height() - size.height())/2 )
if __name__ == '__main__':
app = QtGui.QApplication(sys.argv)
b = MainContainer()
b.show()
sys.exit(app.exec_())
解决方法:
糟糕,我正在创建两个patch实例.为每个数据点绘制圆圈.在将第一个实例传递给我的SelectablePoint类之后,一切正常.
标签:scatter-plot,clickable,matplotlib,pyqt4,python 来源: https://codeday.me/bug/20191208/2093388.html