我们从Python开源项目中，提取了以下10个代码示例，用于说明如何使用matplotlib.pylab.draw()。
def onehist(x,xlabel='',fontsize=12): """ Script that plots the histogram of x with the corresponding xlabel. """ pylab.clf() pylab.rcParams.update({'font.size': fontsize}) pylab.hist(x,histtype='stepfilled') pylab.legend() #### Change the X-axis appropriately #### pylab.xlabel(xlabel) pylab.ylabel('Number') pylab.draw() pylab.show()
def threehistsx(x1,x2,x3,x1leg='$x_1$',x2leg='$x_2$',x3leg='$x_3$',fig=1,fontsize=12,bins1=10,bins2=10,bins3=10): """ Script that pretty-plots three histograms of quantities x1, x2 and x3. Arguments: :param x1,x2,x3: arrays with data to be plotted :param x1leg, x2leg, x3leg: legends for each histogram :param fig: which plot window should I use? Example: x1=Lbol(AD), x2=Lbol(JD), x3=Lbol(EHF10) >>> threehists(x1,x2,x3,38,44,'AD','JD','EHF10','$\log L_{\\rm bol}$ (erg s$^{-1}$)') Inspired by http://www.scipy.org/Cookbook/Matplotlib/Multiple_Subplots_with_One_Axis_Label. """ pylab.rcParams.update({'font.size': fontsize}) pylab.figure(fig) pylab.clf() pylab.subplot(3,1,1) pylab.hist(x1,label=x1leg,color='b',bins=bins1) pylab.legend(loc='best',frameon=False) pylab.subplot(3,1,2) pylab.hist(x2,label=x2leg,color='r',bins=bins2) pylab.legend(loc='best',frameon=False) pylab.subplot(3,1,3) pylab.hist(x3,label=x3leg,color='y',bins=bins3) pylab.legend(loc='best',frameon=False) pylab.minorticks_on() pylab.subplots_adjust(hspace=0.15) pylab.draw() pylab.show()
def show_tf(self): if self._pylab is None: import pylab self._pylab = pylab if self._tf_figure is None: self._tf_figure = self._pylab.figure(2) self.transfer_function.show(ax=self._tf_figure.axes) self._pylab.draw()
def draw(self): self._pylab.draw()
def snapshot(self, fn = None, clip_ratio = None): import matplotlib.pylab as pylab pylab.figure(2) self.transfer_function.show() pylab.draw() im = Camera.snapshot(self, fn, clip_ratio) pylab.figure(1) pylab.imshow(im / im.max()) pylab.draw() self.frames.append(im)
def _viz_Gauss_before_after( curModel=None, propModel=None, curSS=None, propSS=None, Plan=None, propLscore=None, curLscore=None, Data_b=None, Data_t=None, **kwargs): pylab.subplots( nrows=1, ncols=2, figsize=(8, 4), num=1) h1 = pylab.subplot(1, 2, 1) h1.clear() GaussViz.plotGauss2DFromHModel( curModel, compsToHighlight=Plan['btargetCompID'], figH=h1) if curLscore is not None: pylab.title('%.4f' % (curLscore)) h2 = pylab.subplot(1, 2, 2, sharex=h1, sharey=h1) h2.clear() newCompIDs = np.arange(curModel.obsModel.K, propModel.obsModel.K) GaussViz.plotGauss2DFromHModel( propModel, compsToHighlight=newCompIDs, figH=h2, Data=Data_t) if propLscore is not None: pylab.title('%.4f' % (propLscore)) Lgain = propLscore - curLscore if Lgain > 0: pylab.xlabel('ACCEPT +%.2f' % (Lgain)) else: pylab.xlabel('REJECT %.2f' % (Lgain)) pylab.draw() pylab.subplots_adjust(hspace=0.1, top=0.9, bottom=0.15, left=0.15, right=0.95)
def mpl_runner(safe_execfile): """Factory to return a matplotlib-enabled runner for %run. Parameters ---------- safe_execfile : function This must be a function with the same interface as the :meth:`safe_execfile` method of IPython. Returns ------- A function suitable for use as the ``runner`` argument of the %run magic function. """ def mpl_execfile(fname,*where,**kw): """matplotlib-aware wrapper around safe_execfile. Its interface is identical to that of the :func:`execfile` builtin. This is ultimately a call to execfile(), but wrapped in safeties to properly handle interactive rendering.""" import matplotlib import matplotlib.pylab as pylab #print '*** Matplotlib runner ***' # dbg # turn off rendering until end of script is_interactive = matplotlib.rcParams['interactive'] matplotlib.interactive(False) safe_execfile(fname,*where,**kw) matplotlib.interactive(is_interactive) # make rendering call now, if the user tried to do it if pylab.draw_if_interactive.called: pylab.draw() pylab.draw_if_interactive.called = False return mpl_execfile
def twohists(x1,x2,xmin,xmax,range=None,x1leg='$x_1$',x2leg='$x_2$',xlabel='',fig=1,sharey=False,fontsize=12,bins1=10,bins2=10): """ Script that plots two histograms of quantities x1 and x2 sharing the same X-axis. :param x1,x2: arrays with data to be plotted :param xmin,xmax: lower and upper range of plotted values, will be used to set a consistent x-range for both histograms. :param x1leg, x2leg: legends for each histogram :param xlabel: self-explanatory. :param bins1,bins2: number of bins in each histogram :param fig: which plot window should I use? :param range: in the form (xmin,xmax), same as range argument for hist and applied to both histograms. Inspired by `Scipy <http://www.scipy.org/Cookbook/Matplotlib/Multiple_Subplots_with_One_Axis_Label>`_. """ pylab.rcParams.update({'font.size': fontsize}) fig=pylab.figure(fig) pylab.clf() a=fig.add_subplot(2,1,1) if sharey==True: b=fig.add_subplot(2,1,2, sharex=a, sharey=a) else: b=fig.add_subplot(2,1,2, sharex=a) a.hist(x1,bins1,label=x1leg,color='b',histtype='stepfilled',range=range) a.legend(loc='best',frameon=False) a.set_xlim(xmin,xmax) b.hist(x2,bins2,label=x2leg,color='r',histtype='stepfilled',range=range) b.legend(loc='best',frameon=False) pylab.setp(a.get_xticklabels(), visible=False) b.set_xlabel(xlabel) b.set_ylabel('Number',verticalalignment='bottom') pylab.minorticks_on() pylab.subplots_adjust(hspace=0.15) pylab.draw() pylab.show()
def threehists(x1,x2,x3,xmin,xmax,x1leg='$x_1$',x2leg='$x_2$',x3leg='$x_3$',xlabel='',fig=1,sharey=False,fontsize=12): """ Script that plots three histograms of quantities x1, x2 and x3 sharing the same X-axis. Arguments: - x1,x2,x3: arrays with data to be plotted - xmin,xmax: lower and upper range of plotted values, will be used to set a consistent x-range for both histograms. - x1leg, x2leg, x3leg: legends for each histogram - xlabel: self-explanatory. - sharey: sharing the Y-axis among the histograms? - fig: which plot window should I use? Example: x1=Lbol(AD), x2=Lbol(JD), x3=Lbol(EHF10) >>> threehists(x1,x2,x3,38,44,'AD','JD','EHF10','$\log L_{\\rm bol}$ (erg s$^{-1}$)',sharey=True) Inspired by `Scipy <http://www.scipy.org/Cookbook/Matplotlib/Multiple_Subplots_with_One_Axis_Label>`_. """ pylab.rcParams.update({'font.size': fontsize}) fig=pylab.figure(fig) pylab.clf() a=fig.add_subplot(3,1,1) if sharey==True: b=fig.add_subplot(3,1,2, sharex=a, sharey=a) c=fig.add_subplot(3,1,3, sharex=a, sharey=a) else: b=fig.add_subplot(3,1,2, sharex=a) c=fig.add_subplot(3,1,3, sharex=a) a.hist(x1,label=x1leg,color='b',histtype='stepfilled') a.legend(loc='best',frameon=False) a.set_xlim(xmin,xmax) b.hist(x2,label=x2leg,color='r',histtype='stepfilled') b.legend(loc='best',frameon=False) c.hist(x3,label=x3leg,color='y',histtype='stepfilled') c.legend(loc='best',frameon=False) pylab.setp(a.get_xticklabels(), visible=False) pylab.setp(b.get_xticklabels(), visible=False) c.set_xlabel(xlabel) b.set_ylabel('Number') pylab.minorticks_on() pylab.subplots_adjust(hspace=0.15) pylab.draw() pylab.show()
def fourcumplot(x1,x2,x3,x4,xmin,xmax,x1leg='$x_1$',x2leg='$x_2$',x3leg='$x_3$',x4leg='$x_3$',xlabel='',ylabel='$N(x>x\')$',fig=1,sharey=False,fontsize=12,bins1=50,bins2=50,bins3=50,bins4=50): """ Script that plots the cumulative histograms of four variables x1, x2, x3 and x4 sharing the same X-axis. For each bin, Y is the fraction of the sample with values above X. Arguments: - x1,x2,x3,x4: arrays with data to be plotted - xmin,xmax: lower and upper range of plotted values, will be used to set a consistent x-range for both histograms. - x1leg, x2leg, x3leg, x4leg: legends for each histogram - xlabel: self-explanatory. - sharey: sharing the Y-axis among the histograms? - bins1,bins2,...: number of bins in each histogram - fig: which plot window should I use? Inspired by `Scipy <http://www.scipy.org/Cookbook/Matplotlib/Multiple_Subplots_with_One_Axis_Label>`_. v1 Jun. 2012: inherited from fourhists. """ pylab.rcParams.update({'font.size': fontsize}) fig=pylab.figure(fig) pylab.clf() a=fig.add_subplot(4,1,1) if sharey==True: b=fig.add_subplot(4,1,2, sharex=a, sharey=a) c=fig.add_subplot(4,1,3, sharex=a, sharey=a) d=fig.add_subplot(4,1,4, sharex=a, sharey=a) else: b=fig.add_subplot(4,1,2, sharex=a) c=fig.add_subplot(4,1,3, sharex=a) d=fig.add_subplot(4,1,4, sharex=a) a.hist(x1,bins1,label=x1leg,color='b',cumulative=-True,normed=True,histtype='stepfilled') a.legend(loc='best',frameon=False) a.set_xlim(xmin,xmax) b.hist(x2,bins2,label=x2leg,color='r',cumulative=-True,normed=True,histtype='stepfilled') b.legend(loc='best',frameon=False) c.hist(x3,bins3,label=x3leg,color='y',cumulative=-True,normed=True,histtype='stepfilled') c.legend(loc='best',frameon=False) d.hist(x4,bins4,label=x4leg,color='g',cumulative=-True,normed=True,histtype='stepfilled') d.legend(loc='best',frameon=False) pylab.setp(a.get_xticklabels(), visible=False) pylab.setp(b.get_xticklabels(), visible=False) pylab.setp(c.get_xticklabels(), visible=False) d.set_xlabel(xlabel) c.set_ylabel(ylabel) pylab.minorticks_on() pylab.subplots_adjust(hspace=0.15) pylab.draw() pylab.show()
