Searched refs:df (Results 1 – 7 of 7) sorted by relevance
/tools/test/connectivity/acts_tests/tests/google/ble/performance/ |
D | BleRangeTest.py | 129 df = pd.DataFrame({ 138 self.plot_ble_graph(df) 139 df.to_csv(filepath, encoding='utf-8') 142 self.plot_ble_graph(df) 143 df.to_csv(filepath, encoding='utf-8') 185 df = pd.DataFrame({ 197 self.plot_throughput.add_line(df['Pathloss'], 198 df['Throughput'], 202 self.plot_ble_graph(df) 206 df.to_csv(filepath, encoding='utf-8') [all …]
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/tools/test/connectivity/acts_tests/acts_contrib/test_utils/bt/ |
D | BtSarBaseTest.py | 216 def save_sar_plot(self, df): argument 223 df.index, 224 df['expected_tx_power'], 228 df.index, 229 df['measured_tx_power'], 233 df.index, df['delta'], legend='delta', marker='circle') 686 df = pd.read_csv(output_path) 688 return df
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D | ble_performance_test_utils.py | 258 def plot_graph(df, plot_data, bokeh_data, secondary_y_label=None): argument 278 plot.add_line(df[plot_data[data].get('x_column')], 279 df[plot_data[data].get('y_column')],
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/tools/apkzlib/src/test/java/com/android/tools/build/apkzlib/zip/ |
D | FileUseMapTest.java | 112 DecimalFormat df = new DecimalFormat("#,###"); in addPerformanceTest() local 115 + df.format(initialAvg) + "ns per insertion and at the end is " in addPerformanceTest() 116 + df.format(endAvg) + "ns. Average over the total of " + currentRun + " runs " in addPerformanceTest() 117 + "is " + df.format(totalAvg) + "ns."); in addPerformanceTest()
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/tools/test/connectivity/acts_tests/acts_contrib/test_utils/gnss/ |
D | LabTtffTestBase.py | 245 df = DataFrame(glogutils.parse_gpstool_ttfflog_to_df(gps_api_log[0])) 259 df['ttff_sec'] = ttff_time 260 df['ttff_pe'] = ttff_pe 261 df['ttff_haccu'] = ttff_haccu 262 df.to_json(gps_log_path + '/gps_log.json', orient='table')
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/tools/test/connectivity/acts/framework/acts/controllers/bits_lib/ |
D | bits_service.py | 103 df = job.run(['df', '-h'], ignore_status=True) 105 f.write(df.stdout)
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/tools/test/connectivity/acts_tests/tests/google/bt/performance/ |
D | BtA2dpOtaRangeTest.py | 444 df = pd.DataFrame(max_range_all, columns=columns) 445 df.to_csv(self.file_output, index=False)
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