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28 def oplot(*args, **kwargs): 29 global _plt 30 _plt.kwargs.update(kwargs) 31 _plt.args += _plot_args(args) 32 _plot_data(kind='line')
16 def plot_using_plotly(title,traces,filename): 17 data = Data(traces) 18 layout = { 19 "autosize": True, 20 "height": 1000, 21 "showlegend": True, 22 "title": title, 23 "width": 2000, 24 "xaxis": { 25 "autorange": True, 26 "title": "Time (days)", 27 }, 28 "yaxis": { 29 "autorange": True, 30 "title": "Token Amount" 31 }, 32 "yaxis2":{ 33 "title":'Price(USD)', 34 "overlaying":'y', 35 "side":'right' 36 } 37 } 38 fig = Figure(data=data, layout=layout) 39 plot_url = plot_helper(fig,filename) 40 41 print(title + " --- " + plot_url) 42 return plot_url
857 def plot(self, showlnl=False, **kwargs): 858 return SEDPlotter.plot_sed(self.sed, showlnl, **kwargs)
50 def plot_(x, y): 51 52 plt.xlabel('# Probe Items', fontsize=fontsize) 53 plt.ylabel('Recall', fontsize=fontsize) 54 plt.xticks(fontsize=ticksize) 55 plt.yticks(fontsize=ticksize) 56 57 plot_one('rq_irregular', 'red', x, y, ':', 's') 58 plot_one('rq', 'black', x, y, '-', 'o') 59 60 plt.legend(loc='lower right', fontsize=ticksize) 61 plt.show()
66 def plotter(): 67 global values,scale1,scale2 68 NumberSamples=min(len(values),scale1.get()) 69 CurrentXAxis=pylab.arange(len(values)-NumberSamples,len(values),1) 70 line1[0].set_data(CurrentXAxis,pylab.array(values[-NumberSamples:])) 71 ax.axis([CurrentXAxis.min(),CurrentXAxis.max(),0,3.5]) 72 drawing.draw() 73 root.after(25,plotter)
42 def plot(self, name, y): 43 ''' 44 self.plot('loss',1.00) 45 ''' 46 x = self.index.get(name, 0) 47 self.vis.line(Y=np.array([y]), X=np.array([x]), 48 win=unicode(name), 49 opts=dict(title=name), 50 update=None if x == 0 else 'append' 51 ) 52 self.index[name] = x + 1
232 def plots(data, model, nameuser=lambda x: x): 233 agg.FigureCanvasAgg(plot_dates(model)).print_figure("dates.pdf") 234 agg.FigureCanvasAgg(plot_users(model, nameuser=nameuser)).print_figure("users.pdf") 235 agg.FigureCanvasAgg(plot_rdates(model)).print_figure("res-dates.pdf") 236 agg.FigureCanvasAgg(plot_rnth(data, model)).print_figure("res-nth.pdf")
217 def plot(f,g,c,s=None,u=None,clip=None): 218 n,nlag = len(c[0]),len(c) 219 s1 = Sampling(n,1.0,0.0) 220 slag = Sampling(nlag,1.0,-(nlag-1)/2) 221 panel = PlotPanel(2,1,PlotPanel.Orientation.X1RIGHT_X2UP) 222 panel.mosaic.setHeightElastic(0,25) 223 panel.mosaic.setHeightElastic(1,100) 224 panel.setVLimits(1,slag.first,slag.last) 225 fv = panel.addPoints(0,0,s1,f) 226 gv = panel.addPoints(0,0,s1,g) 227 gv.setLineColor(Color.RED) 228 cv = panel.addPixels(1,0,s1,slag,c) 229 cv.setInterpolation(PixelsView.Interpolation.NEAREST) 230 if clip: 231 cv.setClips(0.0,clip) 232 cv.setColorModel(ColorMap.JET) 233 if s: 234 sv = panel.addPoints(1,0,s) 235 sv.setLineColor(Color.WHITE) 236 sv.setLineStyle(PointsView.Line.DOT) 237 sv.setLineWidth(3) 238 if u: 239 uv = panel.addPoints(1,0,u) 240 uv.setLineColor(Color.WHITE) 241 uv.setLineWidth(3) 242 panel.setHLabel("sample") 243 panel.setVLabel(0,"f & g") 244 panel.setVLabel(1,"lag") 245 frame = PlotFrame(panel) 246 frame.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE) 247 frame.setFontSize(18) 248 frame.setSize(1000,800) 249 frame.setVisible(True)
28 def plot(x: np.ndarray, y: np.ndarray, show: bool = True, **kwargs) -> None: 29 for yi in np.unique(y): 30 mask = y == yi 31 plt.plot(x[mask, 0], x[mask, 1], "o", label=str(yi), 32 alpha=kwargs.get("alpha", 0.6), ms=kwargs.get("ms", 1)) 33 plt.legend() 34 if show: 35 plt.show()
41 def filterplot(self, x, y, xf, yf): 42 plt.plot(x, y, '.', color='blue', alpha=0.5) 43 plt.plot(xf, yf, '-', color='red')