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206 def save(self, name): 207 self.fig.savefig(''.join((name, '.png')), dpi=300)
49 def save_on_disk(plot): 50 plot.savefig("image.png")
344 def save(self, filepath, **kwargs): 345 """Saves the plot to a file. 346 347 Parameters 348 ---------- 349 filepath : str 350 Full path of the file. 351 352 Notes 353 ----- 354 For an overview of all configuration options, see [1]_. 355 356 References 357 ---------- 358 .. [1] https://matplotlib.org/2.0.2/api/pyplot_api.html#matplotlib.pyplot.savefig 359 360 """ 361 self.axes.autoscale() 362 plt.savefig(filepath, **kwargs)
112 def save(self, name="geodesic.png"): 113 """ 114 Method to save plots locally. 115 116 Parameters 117 ---------- 118 name : str, optional 119 Name of the file with extension. 120 """ 121 basename, ext = os.path.splitext(name) 122 saveplot(self.fig, image=ext[1:], image_filename=basename, show_link=False)
135 def save_plot(self, filename, img_format="eps", **kwargs): 136 """ 137 Save matplotlib plot to a file. 138 139 Args: 140 filename: Filename to write to. 141 img_format: Image format to use. Defaults to EPS. 142 """ 143 plt = self.get_plot(**kwargs) 144 plt.savefig(filename, format=img_format)
4 def ggsave(plot, filename, width=None, height=None): 5 plot.make() 6 w, h = plot.fig.get_size_inches() 7 if width: 8 w = width 9 if height: 10 h = height 11 plot.fig.set_size_inches(w, h) 12 plot.fig.savefig(filename)
796 def save_plot(self, filename: str, **kwargs): 797 """Save the image plot to file.""" 798 self.plot(show=False) 799 plt.savefig(filename, **kwargs)
106 def save_state(self, save_data=False): 107 """Return a serialized representation of the PlotData for saving to disk""" 108 pds = {} 109 pds['data_source'] = [self._parent.hostname, self._parent.port, self._parent.ssh_tunnel] 110 if(save_data): 111 pds['x'] = self.x.save_state() 112 pds['y'] = self.y.save_state() 113 pds['l'] = self.l.save_state() 114 pds['title'] = self.title 115 pds['group'] = self.group 116 pds['maxlen'] = self.maxlen 117 pds['recordhistory'] = self.recordhistory 118 return pds
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
254 def save_plot(test,predicted, file_name): 255 plt.plot(test, color='red',label='Real Stock Price') 256 plt.plot(predicted, color='blue',label='Predicted Stock Price') 257 plt.title('Stock Price Prediction') 258 plt.xlabel('Time') 259 plt.ylabel('Stock Price') 260 plt.legend() 261 plt.savefig(file_name + '.jpg')