Improved bar colors. Ticks on y axis in float on bars. Legend positions in bars. Moved asceefigs repo into lasp.tools.

lasp/lasp_common.py

@@ -7,7 +7,16 @@ Common definitions used throughout the code.
 """
 
 __all__ = ['P_REF', 'FreqWeighting', 'TimeWeighting', 'getTime', 'calfile',
-           'W_REF']
+           'W_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']
+PLOT_NOCOLORS_LIST = ['k', '0.5', 'k', '0.5', '0.5', '0.5', '0.5', 'k']
+
+DEFAULT_FIGSIZE_W = 8
+GOLDEN = (np.sqrt(5.)+1)/2
+DEFAULT_FIGSIZE_H = DEFAULT_FIGSIZE_W/GOLDEN
+
 
 # Reference sound pressure level
 P_REF = 2e-5

lasp/lasp_measurement.py

@@ -42,6 +42,7 @@ import numpy as np
 from .lasp_config import LASP_NUMPY_FLOAT_TYPE
 import wave
 import os
+import numbers
 
 
 class BlockIter:
@@ -106,8 +107,11 @@ def scaleBlockSens(block, sens):
     """
     assert sens.ndim == 1
     assert sens.size == block.shape[1]
+    if isinstance(block.dtype, numbers.Integral):
         sw = getSampWidth(block.dtype)
         fac = 2**(8*sw - 1) - 1
+    else:
+        fac = 1,
     return block.astype(LASP_NUMPY_FLOAT_TYPE)/fac/sens[np.newaxis, :]
 
 

lasp/plot/bar.py

@@ -8,7 +8,7 @@ Description:
 Class for plotting bars on a QGraphicsScene.
 
 """
-from ..lasp_gui_tools import ASCEEColors
+from ..lasp_gui_tools import ASCEEColors, Branding
 from PySide.QtGui import (
     QGraphicsScene, QPen, QBrush, QGraphicsRectItem,
     QGraphicsTextItem, QPainter, QImage, QPrinter
@@ -33,7 +33,9 @@ ticklength = 10
 # Distance between two bar groups in units of bar thicknesses
 dxbars = 2
 
-DEFAULT_COLORS = [ASCEEColors.blue, ASCEEColors.green, Qt.red, Qt.yellow]
+DEFAULT_COLORS = [ASCEEColors.blue, ASCEEColors.green, Qt.red, Qt.cyan,
+                  Qt.darkYellow,
+                  Qt.darkMagenta]
 
 
 class BarScene(QGraphicsScene):
@@ -109,7 +111,7 @@ class BarScene(QGraphicsScene):
 
             range_ = ylim[1]-ylim[0]
             ytickval = i/(nyticks-1)*range_ + ylim[0]
-            yticklabel = f'{ytickval:3.3}'
+            yticklabel = f'{ytickval:.0f}'
             txt = QGraphicsTextItem(yticklabel)
             txtwidth = txt.boundingRect().width()
             txtmaxwidth = max(txtmaxwidth, txtwidth)
@@ -172,8 +174,7 @@ class BarScene(QGraphicsScene):
 
         if legend is not None:
             maxlegtxtwidth = 0
-            legposx = 0 if legendpos is None else legendpos[0]
-            legposy = 0 if legendpos is None else legendpos[1]
+            legposx, legposy = (0,0) if legendpos is None else legendpos
 
             legpos = (xsize-rightoffset-300+legposx,
                       ysize-topoffset-30+legposy)

lasp/tools/__init__.py

@@ -0,0 +1,7 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+from .config import report_quality
+from .report_tools import *
+from lasp.lasp_common import FreqWeighting, TimeWeighting
+__all__ = ['report_quality', 'PSPlot', 'LevelBars', 'Levels', 'close',
+           'FreqWeighting', 'TimeWeighting']

lasp/tools/config.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""!
+Author: J.A. de Jong - ASCEE
+
+Description:
+"""
+__all__ = ['report_quality', 'getReportQuality']
+
+_report_quality = False
+
+
+def getReportQuality():
+    global _report_quality
+    return _report_quality
+
+
+def report_quality():
+    import matplotlib as mpl
+    # mpl.use('Qt5Agg')
+    global _report_quality
+    # mpl.use("pgf")
+    # rc('font',**{'family':'serif','serif':['Libertine']})
+    # for Palatino and other serif fonts use:
+    # rc('font',**{'family':'serif','serif':['Palatino']})
+    # rc('text', usetex=True)
+    # TeX preamble
+    preamble = [
+          r'\usepackage{libertine-type1}'
+          r'\usepackage[libertine]{newtxmath}'
+          # r'\usepackage{fontspec}',
+          # r'\setmainfont{Libertine}',
+    ]
+    params = {
+        'font.family': 'serif',
+        'text.usetex': True,
+        'text.latex.unicode': True,
+        'pgf.rcfonts': False,
+        'pgf.texsystem': 'pdflatex',
+        'pgf.preamble': preamble,
+    }
+    mpl.rcParams.update(params)
+
+    _report_quality = True

lasp/tools/plot.py

@@ -0,0 +1,214 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""!
+Author: J.A. de Jong - ASCEE
+
+Description:
+"""
+__all__ = ['close', 'Figure', 'Bode', 'PS', 'PSD']
+
+from .config import getReportQuality
+import matplotlib.pyplot as plt
+import numpy as np
+from cycler import cycler
+from lasp.lasp_common import (PLOT_COLORS_LIST, PLOT_NOCOLORS_LIST,
+                              DEFAULT_FIGSIZE_H, DEFAULT_FIGSIZE_W)
+
+
+def close():
+    plt.close('all')
+
+
+class Figure:
+    def __init__(self, **kwargs):
+        ncols = kwargs.pop('ncols', 1)
+        nrows = kwargs.pop('nrows', 1)
+        color = kwargs.pop('color', (PLOT_NOCOLORS_LIST if getReportQuality()
+                                     else PLOT_COLORS_LIST))
+        if isinstance(color, bool):
+            if color:
+                color = PLOT_COLORS_LIST
+            else:
+                color = PLOT_NOCOLORS_LIST
+        colors = cycler('color', color)
+
+        figsize = kwargs.pop('figsize', (DEFAULT_FIGSIZE_W, DEFAULT_FIGSIZE_H))
+        self._f = plt.figure(figsize=figsize)
+
+        marker = kwargs.pop('marker', False)
+        if marker:
+            markers = cycler(marker=['o', 's', 'D', 'X', 'v', '^', '<', '>'])
+        else:
+            markers = cycler(marker=[None]*8)
+
+        linewidths = cycler(linewidth=[1, 2, 1, 2, 2, 3, 2, 1])
+
+        linestyles = cycler(linestyle=['-', '-', '--', ':', '-', '--', ':', '-.', ])
+
+        self._ax = []
+        self._legend = {}
+        for row in range(nrows):
+            self._legend[row] = {}
+            for col in range(ncols):
+                self._legend[row][col] = []
+                ax = self._f.add_subplot(100*nrows
+                                         + 10*ncols
+                                         + (row*ncols + col)+1)
+                ax.set_prop_cycle(
+                    colors+linestyles+markers+linewidths)
+                self._ax.append(ax)
+        self._ncols = ncols
+        self._cur_ax = self._ax[0]
+        self._cur_col = 0
+        self._cur_row = 0
+
+        self._zorder = -1
+
+    def setAx(self, row, col):
+        self._cur_ax = self._ax[row*self._ncols+col]
+
+    @property
+    def fig(self):
+        return self._f
+
+    def markup(self):
+        for ax in self._ax:
+            ax.grid(True, 'both')
+        self._zorder -= 1
+        if not getReportQuality():
+            self._f.show()
+
+    def vline(self, x):
+        self._ax[0].axvline(x)
+
+    def plot(self, *args, **kwargs):
+        line = self._cur_ax.plot(*args, **kwargs, zorder=self._zorder)
+        self.markup()
+        return line
+
+    def loglog(self, *args, **kwargs):
+        line = self._cur_ax.loglog(*args, **kwargs, zorder=self._zorder)
+        self.markup()
+        return line
+
+    def semilogx(self, *args, **kwargs):
+        line = self._cur_ax.semilogx(*args, **kwargs, zorder=self._zorder)
+        self.markup()
+        return line
+
+    def xlabel(self, *args, **kwargs):
+        all_ax = kwargs.pop('all_ax', False)
+        if all_ax:
+            for ax in self._ax:
+                ax.set_xlabel(*args, **kwargs)
+        else:
+            self._cur_ax.set_xlabel(*args, **kwargs)
+
+    def ylabel(self, *args, **kwargs):
+        all_ax = kwargs.pop('all_ax', False)
+        if all_ax:
+            for ax in self._ax:
+                ax.set_ylabel(*args, **kwargs)
+        else:
+            self._cur_ax.set_ylabel(*args, **kwargs)
+
+    def legend(self, leg, *args, **kwargs):
+        # all_ax = kwargs.pop('all_ax', False)
+        if isinstance(leg, list) or isinstance(leg, tuple):
+            self._legend[self._cur_col][self._cur_col] = list(leg)
+        else:
+            self._legend[self._cur_col][self._cur_col].append(leg)
+        self._cur_ax.legend(self._legend[self._cur_col][self._cur_col])
+
+    def savefig(self, *args, **kwargs):
+        self._f.savefig(*args, **kwargs)
+
+    def xlim(self, *args, **kwargs):
+        all_ax = kwargs.pop('all_ax', False)
+        if all_ax:
+            for ax in self._ax:
+                ax.set_xlim(*args, **kwargs)
+        else:
+            self._cur_ax.set_xlim(*args, **kwargs)
+
+    def ylim(self, *args, **kwargs):
+        all_ax = kwargs.pop('all_ax', False)
+        if all_ax:
+            for ax in self._ax:
+                ax.set_ylim(*args, **kwargs)
+        else:
+            self._cur_ax.set_ylim(*args, **kwargs)
+
+    def title(self, *args, **kwargs):
+        self._cur_ax.set_title(*args, **kwargs)
+
+    def xticks(self, ticks):
+        for ax in self._ax:
+            ax.set_xticks(ticks)
+
+    def close(self):
+        plt.close(self._f)
+
+    def xscale(self, scale):
+        for ax in self._ax:
+            ax.set_xscale(scale)
+
+
+class Bode(Figure):
+    def __init__(self, *args, **kwargs):
+        super().__init__(naxes=2, *args, **kwargs)
+
+    def add(self, freq, phasor, qtyname='G', **kwargs):
+        L = 20*np.log10(np.abs(phasor))
+        phase = np.angle(phasor)*180/np.pi
+        self.semilogx(freq, L, axno=0, **kwargs)
+        self.semilogx(freq, phase, axno=1, **kwargs)
+        self.ylabel('$L$ [%s] [dB]' % qtyname, axno=0)
+        self.ylabel(fr'$\angle$ {qtyname} [$^\circ$]', axno=1)
+        self.xlabel('Frequency [Hz]', axno=1)
+
+
+class PS(Figure):
+    def __init__(self, ref, *args, **kwargs):
+        super().__init__(naxes=1, *args, **kwargs)
+        self.ref = ref
+
+    def add(self, fs, freq, ps, qtyname='C', **kwargs):
+
+        overall = np.sum(ps)
+        print(overall)
+        overall_db = 10*np.log10(overall/self.ref**2)
+        L = 10*np.log10(np.abs(ps)/self.ref**2)
+
+        self.semilogx(freq, L, **kwargs)
+        # self.plot(freq,L,**kwargs)
+        self.ylabel('Level [dB re 20$\\mu$Pa]')
+        self.xlabel('Frequency [Hz]')
+        self.legend('%s. Overall SPL = %0.1f dB SPL' % (qtyname, overall_db))
+
+
+class PSD(PS):
+    def __init__(self, ref, *args, **kwargs):
+        """
+        Initialize a PSD plot
+
+        Args:
+            ref: Reference value for level in dB's
+
+        """
+        super().__init__(ref, *args, **kwargs)
+
+    def add(self, fs, freq, ps, qtyname='C', **kwargs):
+        df = freq[1]-freq[0]
+        nfft = fs/df
+        df = fs/nfft
+        psd = ps / df
+
+        overall = np.sum(np.abs(ps), axis=0)
+        overall_db = 10*np.log10(overall/self.ref**2)
+        L = 10*np.log10(abs(psd)/self.ref**2)
+
+        self.semilogx(freq, L, **kwargs)
+        self.ylabel('$L$ [%s] [dB re %0.0e]' % (qtyname, self.ref))
+        self.xlabel('Frequency [Hz]')
+        self.legend('%s. Overall SPL = %0.1f dB SPL' % (qtyname, overall_db))

lasp/tools/report_tools.py

@@ -0,0 +1,163 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Author: J.A. de Jong - ASCEE
+
+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_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_figure import Plotable, PlotOptions
+from lasp.lasp_slm import SLM
+import numpy as np
+import sys
+
+
+
+def close():
+    import matplotlib.pyplot as plt
+    plt.close('all')
+
+
+def PSPlot(fn_list, **kwargs):
+    """
+    Create a power spectral density plot, ASCEE style
+
+    Args:
+        fn_list: list of measurement filenames to plot PSD for
+        fw:
+        fs:
+        nfft:
+        xscale:
+        yscale:
+    """
+
+    fw = kwargs.pop('fw', FreqWeighting.A)
+    nfft = kwargs.pop('nfft', 2048)
+    xscale = kwargs.pop('xscale', 'log')
+    yscale = kwargs.pop('yscale', 'PSD')
+    ylim = kwargs.pop('ylim', (0, 100))
+    xlim = kwargs.pop('xlim', (100, 10000))
+    f = Figure(**kwargs)
+
+    print(kwargs)
+    if xscale == 'log':
+        pltfun = f.semilogx
+    else:
+        pltfun = f.plot
+
+    for fn in fn_list:
+        meas = Measurement(fn)
+        fs = meas.samplerate
+        data = meas.praw()
+        aps = AvPowerSpectra(nfft, 1, 50.)
+        weighcal = WeighCal(fw, nchannels=1,
+                            fs=fs)
+        weighted = weighcal.filter_(data)
+        ps = aps.addTimeData(weighted)
+        freq = getFreq(fs, nfft)
+        if yscale == 'PSD':
+            df = fs/nfft
+            type_str = '/$\\sqrt{\\mathrm{Hz}}$'
+        elif yscale == 'PS':
+            df = 1.
+            type_str = ''
+        else:
+            raise ValueError("'type' should be either 'PS' or 'PSD'")
+
+        psd_log = 10*np.log10(ps[:, 0, 0].real/df/2e-5**2)
+
+        pltfun(freq, psd_log)
+
+    f.xlabel('Frequency [Hz]')
+    f.ylabel(f'Level [dB({fw[0]}) re (20$\\mu$ Pa){type_str}')
+    f.ylim(ylim)
+    f.xlim(xlim)
+    return f
+
+
+def Levels(fn_list, **kwargs):
+
+    bank = kwargs.pop('bank', 'third')
+    fw = kwargs.pop('fw', FreqWeighting.A)
+    tw = kwargs.pop('tw', TimeWeighting.fast)
+    xmin_txt = kwargs.pop('xmin', '100')
+    xmax_txt = kwargs.pop('xmax', '16k')
+
+    levels = []
+    leveltype = 'eq'
+
+    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)
+        if bank == 'third':
+            filt = ThirdOctaveFilterBank(fs)
+            xmin = filt.nominal_txt_tox(xmin_txt)
+            xmax = filt.nominal_txt_tox(xmax_txt)
+
+        elif bank == 'overall':
+            slm = SLM(meas.samplerate, tw)
+            slm.addData(weighted)
+            levels.append(
+                Plotable(' ', slm.Lmax if leveltype == 'max' else slm.Leq,
+                         name=meas.name))
+            continue
+        else:
+            raise NotImplementedError()
+
+        # Octave bands
+        # filt = OctaveFilterBank(fs)
+        filtered_out = filt.filter_(weighted)
+        level = np.empty((xmax - xmin + 1))
+        xlabels = []
+        for i, x in enumerate(range(xmin, xmax+1)):
+            nom = filt.nominal_txt(x)
+            xlabels.append(nom)
+            filt_x = filtered_out[nom]['data']
+            slm = SLM(filt.fs, tw)
+            slm.addData(filt_x)
+            leveli = slm.Lmax if leveltype == 'max' else slm.Leq
+            level[i] = leveli
+        levels.append(Plotable(xlabels, level, name=meas.name))
+    return levels
+
+
+def LevelBars(levels, show=True, **kwargs):
+    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()
+    opts.ylim = kwargs.pop('ylim', (0, 100))
+    opts.ylabel = kwargs.pop('ylabel', 'LAeq [dB(A)]')
+    opts.xlabel = kwargs.pop('xlabel', None)
+    opts.legend = kwargs.pop('legend', [level.name for level in levels])
+    opts.legendpos = kwargs.pop('legendpos', None)
+    opts.title = kwargs.pop('title', None)
+
+    def BarPlotter(ptas, pto):
+        fig = BarFigure(None, pto)
+        fig.resize(1200, 300)
+        for pta in ptas:
+            fig.add(pta)
+        return fig
+
+    fig = BarPlotter(levels, opts)
+    if show:
+        fig.show()
+    fig.resize(*size)
+    if show:
+        app.exec_()
+    return fig

scripts/lasp_postprocess.py

@@ -0,0 +1,200 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""!
+Author: J.A. de Jong - ASCEE
+
+Description:
+"""
+import matplotlib as mpl
+mpl.use('Qt5Agg')
+preamble = [
+      r'\usepackage{libertine-type1}'
+      r'\usepackage[libertine]{newtxmath}'
+#          r'\usepackage{fontspec}',
+      #r'\setmainfont{Libertine}',
+]
+params = {
+    'font.family': 'serif',
+    'text.usetex': True,
+    'text.latex.unicode': True,
+    'pgf.rcfonts': False,
+    'pgf.texsystem': 'pdflatex',
+    'pgf.preamble': preamble,
+}
+mpl.rcParams.update(params)
+
+from asceefigs.config import report_quality
+# report_quality()
+
+from lasp.lasp_measurement import Measurement
+from lasp.lasp_weighcal import WeighCal, FreqWeighting
+from lasp.lasp_slm import SLM, TimeWeighting, P_REF
+from lasp.wrappers import AvPowerSpectra
+from lasp.lasp_common import getFreq
+import os
+import sys
+import numpy as np
+from asceefigs.plot import Figure, PS, close
+import matplotlib.pyplot as pl
+import time
+
+#close('all')
+
+
+def select_file():
+    measfiles = []
+    for path, name, filenames in os.walk(os.getcwd()):
+        for filename in filenames:
+            if '.h5' in filename:
+                measfiles.append(os.path.join(path, filename))
+
+    if len(measfiles) == 0:
+        raise ValueError('No measurement files in current directory')
+
+    for i, mfile in enumerate(measfiles):
+        print('- %20s: %i' % (mfile, i))
+    no = input('Please select a file (%i - %i):' % (0, len(measfiles)))
+    1
+    no = int(no)
+    return measfiles[no]
+
+
+fn = sys.argv[2]
+# type_ : spec, sp
+type_ = sys.argv[1]
+
+#else:
+#    fn = select_file()
+
+##
+#fn = 'Cees_1'
+#fn = 'holland_1'
+fs = 48000
+
+meas = Measurement(fn)
+
+ts = meas.time
+print('Measurement time: ', time.ctime(ts))
+
+praw = meas.praw()[:, [0]]
+N = praw.shape[0]
+
+
+if type_ == 'spec':
+    weighcal_slmA = WeighCal(FreqWeighting.A)
+    weighcal_slmC = WeighCal(FreqWeighting.C)
+
+    filtered_A = weighcal_slmA.filter_(praw)
+    filtered_C = weighcal_slmC.filter_(praw)
+    # %% Sound level meter
+    tw = TimeWeighting.fast
+
+    slm_A = SLM(fs, tw=tw)
+    slm_C = SLM(fs, tw=tw)
+
+    LAF = slm_A.addData(filtered_A)
+    LCF = slm_C.addData(filtered_C)
+
+    # Strip off filter initialization part
+    LAF = LAF[int(tw[0]*fs):, :]
+    LCF = LCF[int(tw[0]*fs):, :]
+    N = LAF.shape[0]
+
+    t = np.linspace(0, N/fs, N, False)
+    Lfig = pl.figure(figsize=(8, 8))
+
+#    from matplotlib import gridspec
+    #gs = gridspec.GridSpec(2, 2, height_ratios=(3, 1), width_ratios=(9, 1))
+    #Lax = pl.subplot(gs[0,0])
+    ax = Lfig.add_subplot(211)
+    pl.title('')
+    pl.plot(t, LAF[:, 0])
+    pl.plot(t, LCF[:, 0])
+    pl.ylabel('Level [dB]')
+    pl.legend(['LAF', 'LCF'])
+    pl.ylim(40, 80)
+    pl.xlim(0, meas.T)
+    pl.grid('on', 'both')
+
+    print('Maximum A-level:', slm_A.Lmax)
+    print('Maximum C-level:', slm_C.Lmax)
+
+    from scipy.signal import spectrogram
+    nfft = 8192
+    noverlap = 4*nfft//5
+    freq_sp, t_sp, Sxx = spectrogram(filtered_C[:, 0], fs, scaling='spectrum',
+                                     window=(
+        'hann'), nperseg=nfft, noverlap=noverlap)
+    # Chop off higher frequencies
+    
+    nfreq = freq_sp.shape[0]
+    nf_start = 5
+    nf_end = int(nfreq/40)
+    freq_sp = freq_sp[nf_start:nf_end]
+    Sxx = Sxx[nf_start:nf_end, :]
+    Sxxpow = 10*np.log10(Sxx/P_REF**2)
+    maxSxx = np.max(Sxxpow)
+    minSxx = np.min(Sxxpow)
+    
+    print(f'max Sxx: {maxSxx:.1f} dB')
+    print(f'min Sxx: {minSxx:.1f} dB')
+ 
+    #SPax = pl.subplot(gs[1,0])
+
+    ax1 = Lfig.add_subplot(212)
+    pl.title('C-weighted spectrogram')
+    colormesh = pl.pcolormesh(t_sp, freq_sp, Sxxpow,
+                              cmap='rainbow', vmin=30, vmax=60)
+    pl.xlabel('Time [s]')
+    pl.ylabel('Frequency [Hz]')
+    pl.xlim(0, meas.T)
+    pl.yscale('linear')
+
+    # %% Colorbar
+    from mpl_toolkits.axes_grid1.inset_locator import inset_axes
+
+    axins = inset_axes(ax1,
+                       width="5%",  # width = 10% of parent_bbox width
+                       height="100%",  # height : 50%
+                       loc=6,
+                       bbox_to_anchor=(1.02, 0., 1, 1),
+                       bbox_transform=ax1.transAxes,
+                       borderpad=0,
+                       )
+    #pl.colorbar(orientation='horizontal')
+    #cax = pl.subplot(gs[1,1])
+    cb = pl.colorbar(colormesh, cax=axins)
+    fn_base = os.path.splitext(fn)[0]
+#    pl.savefig('%s.eps' %fn,dpi=600)
+    pl.show(block=False)
+
+#pl.subplot2grid((2,2),(1,1))
+
+#pl.tight_layout()
+
+#l1 = pl.axvline(2,color='k')
+#pl.axvline(3,color='k')
+#del l1
+# %%
+else:
+    # %%
+    weighcal_A = WeighCal(FreqWeighting.A,
+                          calfile='/home/anne/wip/UMIK-1/cal/7027430_90deg.txt',
+                          sens=0.053690387255872614)
+
+    filtered_A = weighcal_A.filter_(praw)
+    nfft = 8192
+    aps = AvPowerSpectra(nfft, 1, 50.)
+    ps = aps.addTimeData(filtered_A)
+    psplot = PS(P_REF)
+    freq = getFreq(fs, nfft)
+    psplot.add(fs, freq, ps[:, 0, 0], 'A-gewogen')
+    psplot.xlim(10, 10000)
+    psplot.ylim(20, 80)
+    psplot.savefig('%s_sp.eps' % fn)
+    pl.show()
+    # %%
+
+input('Press any key to close')
+pl.savefig(f'{fn_base}_spectrogram.png', dpi=600)
+pl.savefig(f'{fn_base}_spectrogram.eps')

scripts/lasp_towav

@@ -0,0 +1,13 @@
+#!/usr/bin/python
+from lasp.lasp_measurement import Measurement
+import argparse, os
+
+parser = argparse.ArgumentParser(
+    description='Playback recorded measurement'
+)
+parser.add_argument('filename', help='Filename of measurement', type=str)
+args = parser.parse_args()
+
+meas = Measurement(args.filename)
+fnwav = os.path.splitext(args.filename)[0]
+meas.exportAsWave(fnwav, force=True)

tools/__init__.py

@@ -0,0 +1,6 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+from .config import report_quality
+from .report_tools import *
+
+__all__ = ['report_quality']