过去几天我一直试图将matplotlib嵌入到PyQt中，但在你说什么之前，我已经到过每个网站都可以帮助我。
当我运行代码时，它生成一个1乘1的图形，但实际上并没有绘制任何图形
from __future__ import unicode_literals
import sys
import os
import random
from matplotlib.backends import qt4_compat
use_pyside = qt4_compat.QT_API == qt4_compat.QT_API_PYSIDE
if use_pyside:
from PySide import QtGui, QtCore
else:
from PyQt4 import QtGui, QtCore
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import numpy as np
import scipy.io
import os
import pandas as pd
progname = os.path.basename(sys.argv[0])
progversion = "0.1"
class MyMplCanvas(FigureCanvas):
"""Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
def __init__(self, parent=None, width=5, height=4, dpi=100):
fig = Figure(figsize=(width, height), dpi=dpi)
self.axes = fig.add_subplot(111)
# We want the axes cleared every time plot() is called
self.axes.hold(False)
self.compute_initial_figure()
#
FigureCanvas.__init__(self, fig)
self.setParent(parent)
FigureCanvas.setSizePolicy(self,
QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
def compute_initial_figure(self):
pass
class MyStaticMplCanvas(MyMplCanvas):
def extract_data(self, name):
#setting up lists
Stim_trig = []
Stim_order = []
Sch_wav = []
data = scipy.io.loadmat(name)
for k,v in data.items():
#Sends Sch_wav data to a list
if "Sch_wav" in k:
for d in (((v[0])[0])[4]):
Sch_wav.append(d[0])
#Sends StimTrig to a list
if k=="StimTrig":
for g in (((v[0])[0])[4]):
Stim_trig.append(g[0])
Stim_trig.append(Stim_trig[-1]+1)
#Sends Stim order to a list
for w in (((v[0])[0])[5]):
Stim_order.append(w[0])
superdata = []
#Prepares grouping stimuli and trigger
for i in range(len(Stim_trig)-1):
fire = []
for p in Sch_wav:
if p > Stim_trig[i] and p < Stim_trig[i+1]:
fire.append(p - Stim_trig[i])
superdata.append([Stim_order[i],fire])
#sorts all the data
superdata.sort()
alladdedup = [[1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[62]]
count = 0
for d in superdata:
if d[0] == (alladdedup[count])[0]:
for j in d[1]:
((alladdedup)[count]).append(j)
else:
count += 1
#places time stamps of triggers in lists for each trigger
for l in alladdedup:
l.pop(0)
l.sort()
#removes title and sorts data
ffmsb = []
#finds number of firings for each milisecond bin
for v in alladdedup:
fmsb = []
for b in range(100):
msbc = b/100
msb = []
for t in v:
if t > msbc and t < msbc + 0.01:
msb.append(t)
fmsb.append(len(msb))
ffmsb.append(fmsb)
#returns list of stimuli firings per milisecond bin
return ffmsb
#End of Sorting Code
#Start of Graphing Code
def stimuli_graph(self):
#Set file to use and the stimuli wanted. In this case stimuli 1 is being used
filename = ("654508_rec02_all.mat"[1])
self.extract_data(filename)
#Creates parameters for index
numberlist = []
for i in range(100):
numberlist.append(i/100)
#Adjusts the y-axis max according to the y-axis of a graphed stimuli e.g. If plotted graph has y-axis of 10
# then it'll be adjusted by 1.3. So it'll change to 13
x = 0
for i in filename:
if i > x:
x = i*1.3
#Dataframes the data from extract_data
c = pd.Series(filename, index = numberlist)
neurons = pd.DataFrame((c))
#This is where the data gets graphed. I know this is where the problem occurs, I just don't know where
#This code is a mess and for that I am sorry
times = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
ax = neurons.plot(
kind = 'bar',
title = 'Number of neurons firing for stimuli '+str(1),
legend = False,
xlim = (0, 100),
ylim = (0, x),
width = 1,
position = 0,
edgecolor = 'white',
xticks = (np.arange(min(times), max(times), 10)) #Makes the x-axis label in increments of 0.1 instead of 0.01
)
ax.set_xlabel('Time (s)')
ax.set_ylabel('Neurons Firing')
t = arange(0, 100, 1)
self.axes.plot(t, neurons)
class ApplicationWindow(QtGui.QMainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.setWindowTitle("application main window")
self.file_menu = QtGui.QMenu('&File', self)
self.file_menu.addAction('&Quit', self.fileQuit,
QtCore.Qt.CTRL + QtCore.Qt.Key_Q)
self.menuBar().addMenu(self.file_menu)
self.help_menu = QtGui.QMenu('&Help', self)
self.menuBar().addSeparator()
self.menuBar().addMenu(self.help_menu)
self.main_widget = QtGui.QWidget(self)
l = QtGui.QVBoxLayout(self.main_widget)
sc = MyStaticMplCanvas(self.main_widget, width=5, height=4, dpi=100)
l.addWidget(sc)
self.main_widget.setFocus()
self.setCentralWidget(self.main_widget)
self.statusBar().showMessage("All hail matplotlib!", 2000)
def fileQuit(self):
self.close()
def closeEvent(self, ce):
self.fileQuit()
qApp = QtGui.QApplication(sys.argv)
aw = ApplicationWindow()
aw.setWindowTitle("%s" % progname)
aw.show()
sys.exit(qApp.exec_())
#qApp.exec_()
图表中使用的数据是从外部文件中提取的