postprocess_plot.py (25878d731ec1d76dfcb265836bbb0ff82e7138ef) postprocess_plot.py (5aed82e4fa97acf4ba24a7f10a35f5303a6798e0)
1#!/usr/bin/env python3
2
1#!/usr/bin/env python3
2
3# Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC.
4# Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707.
5# All Rights reserved. See files LICENSE and NOTICE for details.
3# Copyright (c) 2017-2024, Lawrence Livermore National Security, LLC and other CEED contributors.
4# All Rights Reserved. See the top-level LICENSE and NOTICE files for details.
6#
5#
7# This file is part of CEED, a collection of benchmarks, miniapps, software
8# libraries and APIs for efficient high-order finite element and spectral
9# element discretizations for exascale applications. For more information and
10# source code availability see http://github.com/ceed
6# SPDX-License-Identifier: BSD-2-Clause
11#
7#
12# The CEED research is supported by the Exascale Computing Project 17-SC-20-SC,
13# a collaborative effort of two U.S. Department of Energy organizations (Office
14# of Science and the National Nuclear Security Administration) responsible for
15# the planning and preparation of a capable exascale ecosystem, including
16# software, applications, hardware, advanced system engineering and early
17# testbed platforms, in support of the nation's exascale computing imperative.
8# This file is part of CEED: http://github.com/ceed
18
19from pylab import *
20from matplotlib import use
21from postprocess_base import read_logs
22import pandas as pd
23
24# Adjustable plot parameters
25log_y = 0 # use log scale on the y-axis?

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10from pylab import *
11from matplotlib import use
12from postprocess_base import read_logs
13import pandas as pd
14
15# Adjustable plot parameters
16log_y = 0 # use log scale on the y-axis?

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