相关疑难解决方法(0)

我正在尝试根据这个问题的答案创建一个可滚动的多画面: 用python的pylab创建一个可滚动的多画面

使用ax.plot()正确更新的行,但是我无法弄清楚如何更新使用xvlines()和创建的艺术家fill_between().

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.widgets import Slider

#create dataframes
dfs={}
for x in range(100):
    col1=np.random.normal(10,0.5,30)
    col2=(np.repeat([5,8,7],np.round(np.random.dirichlet(np.ones(3),size=1)*31)[0].tolist()))[:30]
    col3=np.random.randint(4,size=30)
    dfs[x]=pd.DataFrame({'col1':col1,'col2':col2,'col3':col3})

#create figure,axis,subplot
fig = plt.figure()
gs = gridspec.GridSpec(1,1,hspace=0,wspace=0,left=0.1,bottom=0.1)
ax = plt.subplot(gs[0])
ax.set_ylim([0,12])

#slider
frame=0
axframe = plt.axes([0.13, 0.02, 0.75, 0.03])
sframe = Slider(axframe, 'frame', 0, 99, valinit=0,valfmt='%d')

#plots
ln1,=ax.plot(dfs[0].index,dfs[0]['col1'])
ln2,=ax.plot(dfs[0].index,dfs[0]['col2'],c='black')

#artists
ax.fill_between(dfs[0].index,y1=dfs[0]['col2']-0.5,y2=dfs[0]['col2']+0.5,where=dfs[0]['col2']==5,facecolor='r',edgecolors='none',alpha=0.5)
ax.fill_between(dfs[0].index,y1=dfs[0]['col2']-0.5,y2=dfs[0]['col2']+0.5,where=dfs[0]['col2']==8,facecolor='b',edgecolors='none',alpha=0.5)
ax.fill_between(dfs[0].index,y1=dfs[0]['col2']-0.5,y2=dfs[0]['col2']+0.5,where=dfs[0]['col2']==7,facecolor='g',edgecolors='none',alpha=0.5)
ax.vlines(x=dfs[0]['col3'].index,ymin=0,ymax=dfs[0]['col3'],color='black')

#update plots
def …

# -*- coding: utf-8 -*-
"""
slider 3D numpy array

"""

import numpy
import pylab
from matplotlib.widgets import Slider

data = numpy.random.rand(100,256,256) #3d-array with 100 frames 256x256

ax = pylab.subplot(111)
pylab.subplots_adjust(left=0.25, bottom=0.25)

frame = 0
l = pylab.imshow(data[frame,:,:]) #shows 256x256 image, i.e. 0th frame

axcolor = 'lightgoldenrodyellow'
axframe = pylab.axes([0.25, 0.1, 0.65, 0.03], axisbg=axcolor)
sframe = Slider(axframe, 'Frame', 0, 100, valinit=0)

def update(val):
    frame = numpy.around(sframe.val)
    pylab.subplot(111)
    pylab.subplots_adjust(left=0.25, bottom=0.25)
    pylab.imshow(data[frame,:,:])

sframe.on_changed(update)

pylab.show()

我有一个3D-numpy数组,实际上包含大小为256x256的图像.现在我想使用滑块显示这些帧.它看起来真的很慢.有没有更好的方法呢？

由于我没有得到这个问题的答案，我尝试用 PyQt 解决它。显然，这并不容易，当涉及 QScrollArea 时......

我写了一个小测试，基本上可以满足我的要求，但它没有像我预期的那样显示滚动区域和其中的图：

from PyQt4 import QtCore, QtGui
import os,sys

#import matplotlib
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg as NavigationToolbar
from matplotlib.figure import Figure

qapp = QtGui.QApplication(sys.argv)
qwidget = QtGui.QWidget()
qwidget.setGeometry(QtCore.QRect(0, 0, 500, 500))
qlayout = QtGui.QHBoxLayout(qwidget)
qwidget.setLayout(qlayout)

qscroll = QtGui.QScrollArea(qwidget)
qscroll.setGeometry(QtCore.QRect(0, 0, 500, 500))
qscroll.setFrameStyle(QtGui.QFrame.NoFrame)
qlayout.addWidget(qscroll)

qscrollContents = QtGui.QWidget()
qscrollLayout = QtGui.QVBoxLayout(qscrollContents)
qscrollLayout.setGeometry(QtCore.QRect(0, 0, 1000, 1000))

qscroll.setWidget(qscrollContents)
qscroll.setWidgetResizable(True)

for i in xrange(5):
  qfigWidget = QtGui.QWidget(qscrollContents)
  fig = Figure((5.0, 4.0), dpi=100) …