postprocess_plot.py (dec49e003c07f830a5d3309c81d36f4ed9b22071) postprocess_plot.py (981e58aebb73292f1076ced8fa5c6df3e309fe8e)
1#!/usr/bin/env python3
2# Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC.
3# Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707.
4# All Rights reserved. See files LICENSE and NOTICE for details.
5#
6# This file is part of CEED, a collection of benchmarks, miniapps, software
7# libraries and APIs for efficient high-order finite element and spectral
8# element discretizations for exascale applications. For more information and

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71sel_runs = sel_runs.loc[sel_runs['case'] == case]
72
73# Plot same 'code'
74codes = list(sel_runs.code.unique())
75code = codes[0]
76sel_runs = sel_runs.loc[sel_runs['code'] == code]
77
78# Group plots by backend and number of processes
1#!/usr/bin/env python3
2# Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC.
3# Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707.
4# All Rights reserved. See files LICENSE and NOTICE for details.
5#
6# This file is part of CEED, a collection of benchmarks, miniapps, software
7# libraries and APIs for efficient high-order finite element and spectral
8# element discretizations for exascale applications. For more information and

--- 62 unchanged lines hidden (view full) ---

71sel_runs = sel_runs.loc[sel_runs['case'] == case]
72
73# Plot same 'code'
74codes = list(sel_runs.code.unique())
75code = codes[0]
76sel_runs = sel_runs.loc[sel_runs['code'] == code]
77
78# Group plots by backend and number of processes
79pl_set = sel_runs[['backend', 'backend_memtype', 'num_procs', 'num_procs_node']]
79pl_set = sel_runs[['backend',
80 'backend_memtype',
81 'num_procs',
82 'num_procs_node']]
80pl_set = pl_set.drop_duplicates()
81
82# Plotting
83for index, row in pl_set.iterrows():
84 backend = row['backend']
85 backend_memtype = row['backend_memtype']
86 num_procs = float(row['num_procs'])
87 num_procs_node = float(row['num_procs_node'])

--- 107 unchanged lines hidden --- 		83pl_set = pl_set.drop_duplicates()
84
85# Plotting
86for index, row in pl_set.iterrows():
87 backend = row['backend']
88 backend_memtype = row['backend_memtype']
89 num_procs = float(row['num_procs'])
90 num_procs_node = float(row['num_procs_node'])

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