How to use _get_graph_title method in Airtest

Best Python code snippet using Airtest

xlsx.py

Source: xlsx.py Github

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...238 self.benchmarks.write_comment(f'{letter}{last_row + 1}', comments[index])239 def _create_graphs(self):240 self._create_avg_latency_graph()241 self._create_mean_latency_by_location_graph()242 def _get_graph_title(self, title: str) -> str:243 if self.graphs_title_prefix:244 return f'{self.graphs_title_prefix} - {title}'245 return title246 def _create_mean_latency_by_location_graph(self):247 workbook = self.workbook248 chart = workbook.add_chart({'type': 'column'})249 sheet = self.mean_latency_by_location250 sheet_name = sheet.name251 chart.add_series({252 'name': f'={sheet_name}!$B$1',253 'categories': f'={sheet_name}!$A$2:$A${sheet.row}',254 'values': f'={sheet_name}!$B$2:$B${sheet.row}'255 })256 chart.set_title({'name': self._get_graph_title('Latency mean (ms)')})257 chart.x_scale = 2.5258 chart.y_scale = 2.5259 self.mean_latency_by_location.insert_chart('E2', chart, {'x_offset': 0, 'y_offset': 0})260 chart.set_style(self.chart_style)261 def _create_avg_latency_graph(self):262 workbook = self.workbook263 chart = workbook.add_chart({'type': 'line'})264 sheet = self.avg_latency265 sheet_name = sheet.name266 chart.add_series({267 'name': f'={sheet_name}!$C$1',268 'categories': f'={sheet_name}!$A$2:$A${sheet.row}',269 'values': f'={sheet_name}!$C$2:$C${sheet.row}'270 })271 chart.set_title({'name': self._get_graph_title('Avg. latency (ms)')})272 chart.x_scale = 2.5273 chart.y_scale = 2.5274 chart.set_x_axis({'text_axis': True})275 self.avg_latency.insert_chart('E2', chart, {'x_offset': 0, 'y_offset': 0})276 chart.set_style(self.chart_style)277 def close(self):278 self._write_avg_latencies_by_location()279 self._write_formulas()280 self._create_graphs()...

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plot.py

Source: plot.py Github

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...82 method_index += 1 # 进行下一个方法时:当前方法的序号+183 continue84 else:85 break86 def _get_graph_title(self):87 """获取图像的title."""88 start_time = datetime.fromtimestamp(int(self.timestamp_list[0]))89 end_time = datetime.fromtimestamp(int(self.timestamp_list[-1]))90 end_time = end_time.strftime('%H:%M:%S')91 title = "Timespan: %s —— %s" % (start_time, end_time)92 return title93 def plot_cpu_mem_keypoints(self):94 """绘制CPU/​Mem/​特征点数量."""95 plt.figure(1)96 # 开始绘制子图:97 plt.subplot(311)98 title = self._get_graph_title()99 plt.title(title, loc="center") # 设置绘图的标题100 mem_ins = plt.plot(self.time_axis, self.mem_axis, "-", label="Mem(MB)", color='deepskyblue', linestyle='-', marker=',')101 # 设置数字标签102 plt.legend(mem_ins, ["Mem(MB)"], loc='upper right') # 说明标签的位置103 plt.grid() # 加网格104 plt.ylabel("Mem(MB)")105 plt.ylim(bottom=0)106 for method_exec in self.method_exec_info:107 start_date = datetime.fromtimestamp(method_exec["start_time"])108 end_date = datetime.fromtimestamp(method_exec["end_time"])109 plt.vlines(start_date, 0, self.max_mem, colors="c", linestyles="dashed") # vlines(x, ymin, ymax)110 plt.vlines(end_date, 0, self.max_mem, colors="c", linestyles="dashed") # vlines(x, ymin, ymax)111 # 绘制mem文字:112 x = datetime.fromtimestamp(method_exec["mem_max_time"])...

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