Searched defs:pd (Results 26 - 50 of 229) sorted by relevance

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/external/lisa/libs/utils/analysis/
H A Didle_analysis.py22 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)
/external/lisa/tools/scripts/
H A Dcompare_janbench.py20 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)
H A Dframestats_analysis.py42 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
/external/puffin/src/
H A Dpuff_io_unittest.cc17 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 Dpuff_writer.cc27 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
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/external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/
H A Dpandas_io.py26 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
/external/tensorflow/tensorflow/examples/tutorials/input_fn/
H A Dboston.py22 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,
/external/trappy/tests/
H A Dtest_duplicates.py19 import pandas as pd namespace
H A Dtest_constraint.py17 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]})
H A Dtest_cpu_power.py18 import pandas as pd namespace
32 dfr_in = pd.DataFrame({'cpus': ["000000f0", "0000000f", "000000f0", "0000000f"],
/external/trappy/tests/trappy/
H A Dcpu_power.py19 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})
/external/trappy/tests/trappy/plotter/
H A D__init__.py19 import pandas as pd namespace
/external/trappy/tests/trappy/stats/
H A DIndexer.py21 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))
/external/trappy/tests/trappy/wa/
H A Dresults.py23 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())
/external/trappy/trappy/
H A Dcpu_power.py19 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})
/external/trappy/trappy/plotter/
H A D__init__.py19 import pandas as pd namespace
/external/trappy/trappy/stats/
H A DIndexer.py21 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))
/external/trappy/trappy/wa/
H A Dresults.py23 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())
/external/lisa/experiments/
H A Drun_binder_transaction_tracing.py23 import pandas as pd namespace
83 df = pd.DataFrame(data={"alloc": procs[proc]["alloc"],
/external/lisa/libs/utils/android/workloads/
H A Dsysapp.py26 import pandas as pd namespace
198 return pd.DataFrame([vals], columns=cols)
H A Dsystemui.py27 import pandas as pd namespace
210 return pd.DataFrame([values], columns=columns)
H A Duibench.py26 import pandas as pd namespace
209 return pd.DataFrame([values], columns=columns)
/external/tensorflow/tensorflow/contrib/learn/python/learn/preprocessing/tests/
H A Dcategorical_test.py41 import pandas as pd # pylint: disable=g-import-not-at-top namespace
43 data = pd.DataFrame({"Gender": ["Male", "Female", "Male"]})
/external/tensorflow/tensorflow/contrib/training/python/training/
H A Dfeeding_queue_runner_test.py32 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))
/external/tensorflow/tensorflow/python/estimator/inputs/queues/
H A Dfeeding_queue_runner_test.py32 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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