Searched refs:dfr (Results 1 – 17 of 17) sorted by relevance
36 dfr = trappy.FTrace().sched_load_avg_sg.data_frame38 self.assertTrue(len(dfr) == 1)39 self.assertEquals(dfr["cpus"].iloc[0], "00000002")40 self.assertEquals(dfr["load"].iloc[0], 0)41 self.assertEquals(dfr["utilization"].iloc[0], 0)47 dfr = trappy.FTrace().sched_load_avg_task.data_frame49 self.assertTrue(len(dfr) == 1)50 self.assertEquals(dfr["comm"].iloc[0], "sshd")51 self.assertEquals(dfr["pid"].iloc[0], 2962)52 self.assertEquals(dfr["load"].iloc[0], 0)[all …]
62 dfr = trace.tracing_mark_write.data_frame63 self.assertEquals(dfr['__pid'].iloc[2], 7591)64 self.assertEquals(dfr['__comm'].iloc[2], 'RenderThread')65 self.assertEquals(dfr['pid'].iloc[2], 7459)66 self.assertEquals(dfr['event'].iloc[2], 'B')67 self.assertEquals(dfr['func'].iloc[2], 'notifyFramePending')68 self.assertEquals(dfr['data'].iloc[2], None)71 self.assertEquals(dfr['__pid'].iloc[-2], 612)72 self.assertEquals(dfr['__comm'].iloc[-2], 'HwBinder:594_1')73 self.assertEquals(dfr['pid'].iloc[-2], 594)[all …]
95 dfr = trace.cpu_in_power.data_frame97 self.assertEquals(set(dfr.columns), expected_columns)98 self.assertEquals(dfr["power"].iloc[0], 61)141 dfr = trace.event0.data_frame143 self.assertEquals(set(dfr.columns), expected_columns)148 self.assertEquals(dfr["__comm"].loc[timestamp], event['task'])149 self.assertEquals(dfr["__pid"].loc[timestamp], event['pid'])150 self.assertEquals(dfr["__cpu"].loc[timestamp], event['cpu'])168 dfr = trace.sched_stat_runtime.data_frame170 self.assertEquals(set(dfr.columns), expected_columns)[all …]
32 self.dfr = [dfr0, dfr1]44 trace.add_parsed_event("pmu_counters", self.dfr[0])49 trace.add_parsed_event("pivoted_counters", self.dfr[0], pivot="cpu")56 trace.add_parsed_event("pmu_counter", self.dfr[0])57 trace.add_parsed_event("load_event", self.dfr[1])59 self.assertEquals(trace.get_duration(), self.dfr[1].index[-1] - self.dfr[0].index[0])65 trace.add_parsed_event("pmu_counter", self.dfr[0].copy())66 trace.add_parsed_event("load_event", self.dfr[1].copy())68 basetime = self.dfr[0].index[0]71 expected_duration = self.dfr[1].index[-1] - basetime[all …]
48 dfr = th_data.data_frame49 ct_series = pd.Series([57, 57], index=(dfr.index[0], dfr.index[-1]))77 dfr = trappy.FTrace().thermal_governor.data_frame79 self.assertTrue(len(dfr) > 0)80 self.assertEquals(dfr["current_temperature"].iloc[0], 68775)81 self.assertTrue("total_granted_power" in dfr.columns)82 self.assertFalse("time" in dfr.columns)174 dfr = trappy.FTrace(normalize_time=False).thermal_governor.data_frame175 self.assertEquals(len(dfr), 0)
62 dfr = trappy.FTrace().cpu_out_power.get_all_freqs(self.map_label)64 self.assertEquals(dfr["A57"].iloc[0], 1100)65 self.assertEquals(dfr["A53"].iloc[1], 850)113 dfr = trappy.FTrace().cpu_in_power.get_all_freqs(self.map_label)115 self.assertEquals(dfr["A57"].iloc[0], 1100)116 self.assertEquals(dfr["A53"].iloc[1], 850)117 self.assertEquals(dfr["A57"].iloc[5], 1100)
41 dfr = self.dfrs[0]43 c_mgr = ConstraintManager(dfr, "load", None, AttrConf.PIVOT, {})50 dfr["load"].to_dict().values())84 expected_series = [dfr[col] for dfr in self.dfrs for col in self.cols]191 dfr = pd.DataFrame({12: [1, 2, 3], 13: [3, 4, 5]})193 constraint = Constraint(dfr, AttrConf.PIVOT, 12, template=None,
236 dfr = pd.DataFrame(data, columns=["tick", "tock"]).cumsum()237 trappy.LinePlot(dfr, column=["tick"]).view(test=True)344 dfr = pd.DataFrame([0, 1, 2, 3], columns=["a"])345 iplot = trappy.ILinePlot(dfr, column=["a"])367 self.dfr = pd.DataFrame({"foo": [1, 2, 3],373 trappy.BarPlot(self.dfr, column=["foo", "bar"]).view(test=True)378 trace.add_parsed_event("event", self.dfr)
97 dfr = pd.DataFrame({"temp": [45000, 46724, 45520]},101 trace.add_parsed_event("sched_switch", dfr)123 dfr = trappy.FTrace(self.out_dir).thermal.data_frame125 self.assertTrue(len(dfr) > 0)133 dfr = trappy.FTrace(arbitrary_trace_name).thermal.data_frame135 self.assertTrue(len(dfr) > 0)522 dfr = trappy.FTrace(arbitrary_trace_name).thermal.data_frame525 self.assertTrue(len(dfr) > 0)
209 dfr = pandas.DataFrame({"l1_misses": [24, 535, 41],213 trace.add_parsed_event("pmu_counters", dfr)
24 def pivot_with_labels(dfr, data_col_name, new_col_name, mapping_label): argument71 col_set = set(dfr[new_col_name])82 data = dfr[dfr[new_col_name] == col][data_col_name]119 dfr = self.data_frame121 return pivot_with_labels(dfr, "freq", "cpus", mapping_label) / 1000142 dfr = self.data_frame143 load_cols = [s for s in dfr.columns if s.startswith("load")]145 load_series = dfr[load_cols[0]].copy()147 load_series += dfr[col]158 dfr = self.data_frame[all …]
139 dfr = self.data_frame140 curr_temp = dfr["current_temperature"]141 control_temp_series = (curr_temp + dfr["delta_temperature"]) / 1000187 dfr = self.data_frame188 in_cols = [s for s in dfr.columns if re.match("req_power[0-9]+", s)]190 plot_dfr = dfr[in_cols]229 dfr = self.data_frame230 in_cols = [s for s in dfr.columns if re.match(r"req_power\d+", s)]234 plot_dfr_dict[name] = dfr[in_col] * weight / 1024297 dfr = self.data_frame[all …]
38 dfr = self.data_frame[self._cpu_mask_column].apply('{:0>8}'.format)39 self.data_frame[self._cpu_mask_column] = dfr55 dfr = self.data_frame.drop_duplicates(subset=['comm', 'pid'])56 dfr = dfr.ix[:, ['comm', 'pid']]58 return dfr[dfr['comm'].str.contains(key)].values.tolist()
85 def add_parsed_event(self, name, dfr, pivot=None): argument128 event.data_frame = dfr
400 dfr = pd.DataFrame(cpu_inout_freq_dict).fillna(method="pad")401 ret.append((label, dfr))413 dfr = pd.DataFrame(inout_freq_dict).fillna(method="pad")414 ret.append(("GPU", dfr))580 for this_ax, (label, dfr) in zip(ax, all_freqs):588 dfr.plot(ax=this_ax)
91 dfr = pd.DataFrame.from_items(params_items, orient="index",93 display(HTML(dfr.to_html(header=False)))
28 "dfr = pd.DataFrame({\"foo\": [1, 2, 3], \"bar\": [2, 3, 1], \"baz\":[3, 2, 1]})"47 "trappy.BarPlot(dfr, column=\"foo\").view()"75 "trappy.BarPlot(dfr, column=[\"foo\", \"bar\"], title=\"Multiple columns\").view()"103 "trappy.BarPlot(dfr, column=[\"foo\", \"bar\", \"baz\"], stacked=True).view()"139 "trace.add_parsed_event(\"my_event\", dfr)"