/external/lisa/libs/utils/analysis/ |
H A D | idle_analysis.py | 22 import pandas as pd namespace 79 final_entry = pd.DataFrame([cpu_idle.iloc[-1]], index=[self._trace.x_max]) 91 idle_time_df = pd.DataFrame({'time' : idle_time}, index=available_idles) 129 cl_idle = pd.DataFrame(cl_idle.min(axis=1), columns=['state']) 158 idle_time_df = pd.DataFrame({'time' : idle_time}, index=available_idles)
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/external/lisa/tools/scripts/ |
H A D | compare_janbench.py | 20 import pandas as pd namespace 58 return pd.DataFrame(data, columns=columns) 71 fdf = pd.concat(stats_dfs, axis = 1).T 102 final_df = pd.concat([compare_df, diff], axis=1)
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H A D | framestats_analysis.py | 42 import pandas as pd namespace 66 df[test_name] = pd.DataFrame() 74 :type df: pd.DataFrame 86 :type df: pd.DataFrame 96 pd.set_option('precision', 2) 103 ave_base = pd.DataFrame(base[name][averages].mean()).T 104 ave_test = pd.DataFrame(test[name][averages].mean()).T
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/external/puffin/src/ |
H A D | puff_io_unittest.cc | 17 PuffData pd; local 22 pd.type = PuffData::Type::kBlockMetadata; 23 pd.length = 1; 24 ASSERT_TRUE(pw.Insert(pd, &error)); 27 ASSERT_TRUE(pr.GetNext(&pd, &error)); 28 ASSERT_EQ(pd.type, PuffData::Type::kBlockMetadata); 29 ASSERT_EQ(pd.length, 1); 32 pd.type = PuffData::Type::kLiterals; 33 pd.length = length; 34 pd 73 PuffData pd; local 84 PuffData pd; local 92 PuffData pd; local 112 PuffData pd; local 125 PuffData pd; local 133 PuffData pd; local 138 PuffData pd; local 150 PuffData pd; local 160 PuffData pd; local 181 PuffData pd; local 192 PuffData pd; local 201 PuffData pd; local 210 PuffData pd; local 218 PuffData pd; local 229 PuffData pd; local 251 PuffData pd; local 296 PuffData pd; local 334 PuffData pd; local [all...] |
H A D | puff_writer.cc | 27 bool BufferPuffWriter::Insert(const PuffData& pd, Error* error) { argument 28 switch (pd.type) { 30 if (pd.length == 0) { 35 DVLOG(2) << "Write literals length: " << pd.length; 36 size_t length = pd.type == PuffData::Type::kLiteral ? 1 : pd.length; 62 if (pd.type == PuffData::Type::kLiteral) { 63 puff_buf_out_[index_] = pd.byte; 66 pd.read_fn(&puff_buf_out_[index_], length), 69 } else if (pd [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
H A D | pandas_io.py | 26 import pandas as pd namespace 84 if not isinstance(data, pd.DataFrame): 108 if not isinstance(data, pd.DataFrame): 129 pd.DataFrame): # pandas.Series also belongs to DataFrame
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/external/tensorflow/tensorflow/examples/tutorials/input_fn/ |
H A D | boston.py | 22 import pandas as pd namespace 36 x=pd.DataFrame({k: data_set[k].values for k in FEATURES}), 37 y=pd.Series(data_set[LABEL].values), 44 training_set = pd.read_csv("boston_train.csv", skipinitialspace=True, 46 test_set = pd.read_csv("boston_test.csv", skipinitialspace=True, 50 prediction_set = pd.read_csv("boston_predict.csv", skipinitialspace=True,
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/external/trappy/tests/ |
H A D | test_duplicates.py | 19 import pandas as pd namespace
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H A D | test_constraint.py | 17 import pandas as pd namespace 29 self.dfrs = [pd.DataFrame({"load": [1, 2, 2, 3], 32 pd.DataFrame({"load": [2, 3, 2, 1], 191 dfr = pd.DataFrame({12: [1, 2, 3], 13: [3, 4, 5]})
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H A D | test_cpu_power.py | 18 import pandas as pd namespace 32 dfr_in = pd.DataFrame({'cpus': ["000000f0", "0000000f", "000000f0", "0000000f"],
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/external/trappy/tests/trappy/ |
H A D | cpu_power.py | 19 import pandas as pd namespace 46 >>> dfr_in = pd.DataFrame({'cpus': ["000000f0", 86 return pd.DataFrame(ret_series).fillna(method="pad") 160 load_dfr = pd.DataFrame({"cpus": dfr["cpus"], "load": load_series}) 182 load_dfr = pd.DataFrame({"cpus": dfr["cpus"], "load": load_series})
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/external/trappy/tests/trappy/plotter/ |
H A D | __init__.py | 19 import pandas as pd namespace
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/external/trappy/tests/trappy/stats/ |
H A D | Indexer.py | 21 import pandas as pd namespace 45 return pd.Series(np.zeros(len(self.index)), index=self.index) 95 idx = pd.Index([]) 102 return pd.Index(np.unique(idx.values))
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/external/trappy/tests/trappy/wa/ |
H A D | results.py | 23 import pandas as pd namespace 26 class Result(pd.DataFrame): 40 concat_data = pd.concat(data[s] for s in data) 97 """Return a pd.DataFrame with the results 144 bench_dfrs[bench] = pd.DataFrame(run_id_dict) 146 return Result(pd.concat(bench_dfrs.values(), axis=1, 162 res_dict[benchmark] = pd.concat(concat_objs, axis=1) 164 combined = pd.concat(res_dict.values(), axis=1, keys=res_dict.keys())
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/external/trappy/trappy/ |
H A D | cpu_power.py | 19 import pandas as pd namespace 46 >>> dfr_in = pd.DataFrame({'cpus': ["000000f0", 86 return pd.DataFrame(ret_series).fillna(method="pad") 160 load_dfr = pd.DataFrame({"cpus": dfr["cpus"], "load": load_series}) 182 load_dfr = pd.DataFrame({"cpus": dfr["cpus"], "load": load_series})
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/external/trappy/trappy/plotter/ |
H A D | __init__.py | 19 import pandas as pd namespace
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/external/trappy/trappy/stats/ |
H A D | Indexer.py | 21 import pandas as pd namespace 45 return pd.Series(np.zeros(len(self.index)), index=self.index) 95 idx = pd.Index([]) 102 return pd.Index(np.unique(idx.values))
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/external/trappy/trappy/wa/ |
H A D | results.py | 23 import pandas as pd namespace 26 class Result(pd.DataFrame): 40 concat_data = pd.concat(data[s] for s in data) 97 """Return a pd.DataFrame with the results 144 bench_dfrs[bench] = pd.DataFrame(run_id_dict) 146 return Result(pd.concat(bench_dfrs.values(), axis=1, 162 res_dict[benchmark] = pd.concat(concat_objs, axis=1) 164 combined = pd.concat(res_dict.values(), axis=1, keys=res_dict.keys())
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/external/lisa/experiments/ |
H A D | run_binder_transaction_tracing.py | 23 import pandas as pd namespace 83 df = pd.DataFrame(data={"alloc": procs[proc]["alloc"],
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/external/lisa/libs/utils/android/workloads/ |
H A D | sysapp.py | 26 import pandas as pd namespace 198 return pd.DataFrame([vals], columns=cols)
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H A D | systemui.py | 27 import pandas as pd namespace 210 return pd.DataFrame([values], columns=columns)
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H A D | uibench.py | 26 import pandas as pd namespace 209 return pd.DataFrame([values], columns=columns)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/preprocessing/tests/ |
H A D | categorical_test.py | 41 import pandas as pd # pylint: disable=g-import-not-at-top namespace 43 data = pd.DataFrame({"Gender": ["Male", "Female", "Male"]})
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/external/tensorflow/tensorflow/contrib/training/python/training/ |
H A D | feeding_queue_runner_test.py | 32 import pandas as pd namespace 90 df = pd.DataFrame({"a": array1, "b": array2}, index=np.arange(64, 96)) 118 df = pd.DataFrame({"a": array1, "b": array2}, index=np.arange(128))
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/external/tensorflow/tensorflow/python/estimator/inputs/queues/ |
H A D | feeding_queue_runner_test.py | 32 import pandas as pd namespace 93 df = pd.DataFrame({"a": array1, "b": array2}, index=np.arange(64, 96)) 121 df = pd.DataFrame({"a": array1, "b": array2}, index=np.arange(128))
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