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oscopeplot.py
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oscopeplot.py
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#!/usr/bin/env python
# Copyright (c) 2018,2019,2020,2021, Stephen Goadhouse <sgoadhouse@virginia.edu>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of the Neotion nor the names of its contributors may
# be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL NEOTION BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
# OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#-------------------------------------------------------------------------------
# Plot NPZ waveform output file from oscope.py
#-------------------------------------------------------------------------------
# For future Python3 compatibility:
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import sys
try:
import matplotlib.pyplot as plt
except:
print('matplotlib.pyplot is needed for plotting waveform data to screen')
print('Please install it with "pip install matplotlib".\n')
sys.exit(-1)
filename = sys.argv[1]
header=None
meta=None
with np.load(filename) as data:
x = data['x']
y = data['y']
if 'header' in data.files:
header = data['header']
if 'meta' in data.files:
meta = data['meta']
if (meta is not None):
print('\nMeta:\n',meta)
if (len(x) == len(y)):
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.plot(x, y) # plot the data
ax1.axvline(x=0.0, color='r', linestyle='--')
ax1.axhline(y=0.0, color='r', linestyle='--')
ax1.set_title('Waveform Data')
if header is not None:
ax1.set_xlabel(header[0])
ax1.set_ylabel(header[1])
# plot a histogram of the data
num_bins = 250
n, bins, patches = ax2.hist(y, num_bins)
ax2.set_title('Histogram of Waveform Data')
fig.tight_layout()
plt.show()