Added PowerSpectra function to report_tools, plotting level differences.

This commit is contained in:
Anne de Jong 2018-12-28 13:55:09 +01:00 committed by J.A. de Jong - ASCEE
parent f5e98088ed
commit c830891f66
3 changed files with 48 additions and 12 deletions

View File

@ -7,7 +7,7 @@ Common definitions used throughout the code.
"""
__all__ = ['P_REF', 'FreqWeighting', 'TimeWeighting', 'getTime', 'calfile',
'W_REF', 'DEFAULT_FIGSIZE_H', 'DEFAULT_FIGSIZE_W',
'W_REF', 'U_REF', 'I_REF', 'DEFAULT_FIGSIZE_H', 'DEFAULT_FIGSIZE_W',
'GOLDEN', 'PLOT_COLORS_LIST', 'PLOT_NOCOLORS_LIST']
PLOT_COLORS_LIST = ['b', 'g', 'r', 'c', 'm', 'y', 'k', '#BE6500']

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@ -8,11 +8,11 @@ Description: backend tools for easy postprocessing of measurements
from .plot import Figure
from lasp.wrappers import AvPowerSpectra
from lasp.lasp_measurement import Measurement
from lasp.lasp_common import FreqWeighting, TimeWeighting, getFreq, getTime
from lasp.lasp_common import (FreqWeighting, TimeWeighting,
getFreq, getTime, Window, P_REF)
from lasp.lasp_weighcal import WeighCal
from lasp.lasp_octavefilter import OctaveFilterBank, ThirdOctaveFilterBank
from lasp.lasp_barfigure import BarFigure
from lasp.lasp_figure import Plotable
from lasp.lasp_figuredialog import FigureDialog
from lasp.lasp_figure import Plotable, PlotOptions
from lasp.lasp_slm import SLM
import numpy as np
@ -81,6 +81,31 @@ def PSPlot(fn_list, **kwargs):
return f
def PowerSpectra(fn_list, **kwargs):
nfft = kwargs.pop('nfft', 2048)
window = kwargs.pop('window', Window.hann)
fw = kwargs.pop('fw', FreqWeighting.A)
overlap = kwargs.pop('overlap', 50.)
ptas = []
for fn in fn_list:
meas = Measurement(fn)
fs = meas.samplerate
weighcal = WeighCal(fw, nchannels=1,
fs=fs, calfile=None)
praw = meas.praw()
weighted = weighcal.filter_(praw)
aps = AvPowerSpectra(nfft, 1, overlap, window[0])
result = aps.addTimeData(weighted)[:, 0, 0].real
pwr = 10*np.log10(result/P_REF**2)
freq = getFreq(fs, nfft)
ptas.append(Plotable(freq, pwr))
pto = PlotOptions.forPower()
pto.ylabel = f'L{fw[0]} [dB({fw[0]})]'
return ptas
def Levels(fn_list, **kwargs):
bank = kwargs.pop('bank', 'third')
@ -131,14 +156,26 @@ def Levels(fn_list, **kwargs):
return levels
def LevelBars(levels, show=True, **kwargs):
def LevelDifference(levels):
assert len(levels) == 2
return Plotable(name='Difference', x=levels[0].x,
y=levels[1].y-levels[0].y)
def LevelFigure(levels, show=True, **kwargs):
figtype = kwargs.pop('figtype', 'bar')
from PySide.QtGui import QApplication, QFont
app = QApplication.instance()
if not app:
app = QApplication(sys.argv)
app.setFont(QFont('Linux Libertine'))
size = kwargs.pop('size', (1200, 600))
opts = PlotOptions.forLevelBars()
if figtype == 'bar':
opts = PlotOptions.forLevelBars()
elif figtype == 'line':
opts = PlotOptions.forPower()
else:
raise RuntimeError('figtype should be either line or bar')
opts.ylim = kwargs.pop('ylim', (0, 100))
opts.ylabel = kwargs.pop('ylabel', 'LAeq [dB(A)]')
opts.xlabel = kwargs.pop('xlabel', None)
@ -146,14 +183,13 @@ def LevelBars(levels, show=True, **kwargs):
opts.legendpos = kwargs.pop('legendpos', None)
opts.title = kwargs.pop('title', None)
def BarPlotter(ptas, pto):
fig = BarFigure(None, pto)
fig.resize(1200, 300)
def Plotter(ptas, pto):
fig = FigureDialog(None, None, pto, figtype)
for pta in ptas:
fig.add(pta)
fig.fig.add(pta)
return fig
fig = BarPlotter(levels, opts)
fig = Plotter(levels, opts)
if show:
fig.show()
fig.resize(*size)

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@ -15,7 +15,7 @@ parser.add_argument('--comment', '-c', type=str,
help='Add a measurement comment, optionally')
device_help = 'DAQ Device to record from'
parser.add_argument('--input-daq','-i', help=device_help, type=str,
parser.add_argument('--input-daq', '-i', help=device_help, type=str,
choices=['roga', 'umik', 'default'], default='roga')
args = parser.parse_args()