Пример #1
0
    def process(self, dgroup, proc_opts=None):
        if not hasattr(dgroup, 'proc_opts'):
            dgroup.proc_opts = {}

        if 'xscale' not in dgroup.proc_opts:
            dgroup.proc_opts.update(self.get_proc_opts(dgroup))

        if proc_opts is not None:
            dgroup.proc_opts.update(proc_opts)

        opts = dgroup.proc_opts
        # scaling
        dgroup.x = opts['xscale']*(dgroup.xdat - opts['xshift'])
        dgroup.y = opts['yscale']*(dgroup.ydat - opts['yshift'])

        # smoothing
        smop = opts['smooth_op'].lower()
        cform = str(opts['smooth_conv'].lower())
        if smop.startswith('box'):
            dgroup.y = boxcar(dgroup.y, opts['smooth_c0'])
        elif smop.startswith('savit'):
            winsize = 2*opts['smooth_c0'] + 1
            dgroup.y = savitzky_golay(dgroup.y, winsize, opts['smooth_c1'])
        elif smop.startswith('conv'):
            dgroup.y = smooth(dgroup.x, dgroup.y,
                              sigma=opts['smooth_sig'], form=cform)

        # xas
        if dgroup.datatype.startswith('xas'):

            dgroup.energy = dgroup.x
            dgroup.mu = dgroup.y

            preopts = {'e0': None, 'step': None, 'make_flat':False,
                      '_larch':self.larch}

            if not opts['auto_e0']:
                _e0 = opts['e0']
                if _e0 < max(dgroup.energy) and _e0 > min(dgroup.energy):
                    preopts['e0'] = float(_e0)

            if not opts['auto_step']:
                preopts['step'] = opts['step']

            for attr in ('pre1', 'pre2', 'nvict', 'nnorm', 'norm1', 'norm2'):
                preopts[attr]  = opts[attr]

            pre_edge(dgroup, **preopts)

            for attr in  ('e0', 'edge_step'):
                opts[attr] = getattr(dgroup, attr)

            for attr in  ('pre1', 'pre2', 'norm1', 'norm2'):
                opts[attr] = getattr(dgroup.pre_edge_details, attr)

            dgroup.proc_opts.update(opts)
Пример #2
0
    def onUpdate(self, value=None, evt=None):
        """column selections changed calc xdat and ydat"""
        # dtcorr = self.dtcorr.IsChecked()
        dtcorr = False
        use_deriv = self.use_deriv.IsChecked()
        rawgroup = self.rawgroup
        outgroup = self.outgroup

        ix  = self.xarr.GetSelection()
        xname = self.xarr.GetStringSelection()
        if xname == '<index>':
            xname = self.rawgroup.array_labels[0]
            outgroup._index = 1.0*np.arange(len(getattr(rawgroup, xname)))
            xname = '_index'

        outgroup.datatype = self.datatype.GetStringSelection().strip().lower()
        outgroup.xdat = getattr(rawgroup, xname)

        def pre_op(opwid, arr):
            opstr = opwid.GetStringSelection().strip()
            suf = ''
            if opstr in ('-log(', 'log('):
                suf = ')'
                if opstr == 'log(':
                    arr = np.log(arr)
                elif opstr == '-log(':
                    arr = -np.log(arr)
            return suf, opstr, arr

        try:
            xsuf, xpop, outgroup.xdat = pre_op(self.xpop, outgroup.xdat)
            self.xsuf.SetLabel(xsuf)
        except:
            return
        try:
            xunits = rawgroup.array_units[ix].strip()
            xlabel = '%s (%s)' % (xname, xunits)
        except:
            xlabel = xname


        def get_data(grp, arrayname, correct=False):
            if hasattr(grp, 'get_data'):
                return grp.get_data(arrayname, correct=correct)
            return getattr(grp, arrayname, None)

        yname1  = self.yarr1.GetStringSelection().strip()
        yname2  = self.yarr2.GetStringSelection().strip()
        yop = self.yop.GetStringSelection().strip()

        ylabel = yname1
        if len(yname2) == 0:
            yname2 = '1.0'
        else:
            ylabel = "%s%s%s" % (ylabel, yop, yname2)

        yarr1 = get_data(rawgroup, yname1, correct=dtcorr)

        if yname2 in ('0.0', '1.0'):
            yarr2 = float(yname2)
            if yop == '/': yarr2 = 1.0
        else:
            yarr2 = get_data(rawgroup, yname2, correct=dtcorr)

        outgroup.ydat = yarr1
        if yop == '+':
            outgroup.ydat = yarr1.__add__(yarr2)
        elif yop == '-':
            outgroup.ydat = yarr1.__sub__(yarr2)
        elif yop == '*':
            outgroup.ydat = yarr1.__mul__(yarr2)
        elif yop == '/':
            outgroup.ydat = yarr1.__truediv__(yarr2)

        yerr_op = self.yerr_op.GetStringSelection().lower()
        if yerr_op.startswith('const'):
            yerr = self.yerr_const.GetValue()
        elif yerr_op.startswith('array'):
            yerr = self.yerr_arr.GetStringSelection().strip()
            yerr = get_data(rawgroup, yerr)
        elif yerr_op.startswith('sqrt'):
            yerr = np.sqrt(outgroup.ydat)


        ysuf, ypop, outgroup.ydat = pre_op(self.ypop, outgroup.ydat)
        self.ysuf.SetLabel(ysuf)

        if use_deriv:
            try:
                outgroup.ydat = (np.gradient(outgroup.ydat) /
                                 np.gradient(outgroup.xdat))
            except:
                pass

        # apply smoothhing here
        if self.with_smooth:
            smoother = self.smooth_op.GetStringSelection().lower()
            if smoother.startswith('box'):
                n = int(self.smooth_c0.GetValue())
                outgroup.ydat = boxcar(outgroup.ydat, n)
            elif smoother.startswith('savit'):
                n = int(self.smooth_c0.GetValue())
                win_size = 2*n + 1
                order = int(self.smooth_c1.GetValue())
                outgroup.ydat = savitzky_golay(outgroup.ydat, win_size, order)
            elif smoother.startswith('conv'):
                sigma = float(self.smooth_sig.GetValue())
                form  = str(self.smooth_conv.GetStringSelection()).lower()
                outgroup.ydat = smooth(outgroup.xdat, outgroup.ydat,
                                       sigma=sigma, form=form)

        self.array_sel = {'xpop': xpop, 'xarr': xname,
                     'ypop': ypop, 'yop': yop,
                     'yarr1': yname1, 'yarr2': yname2,
                     'use_deriv': use_deriv}

        try:
            npts = min(len(outgroup.xdat), len(outgroup.ydat))
        except AttributeError:
            return

        outgroup.filename    = rawgroup.filename
        outgroup.npts        = npts
        outgroup.plot_xlabel = xlabel
        outgroup.plot_ylabel = ylabel
        outgroup.xdat        = np.array(outgroup.xdat[:npts])
        outgroup.ydat        = np.array(outgroup.ydat[:npts])
        outgroup.y           = outgroup.ydat
        outgroup.yerr        = yerr
        if isinstance(yerr, np.ndarray):
            outgroup.yerr    = np.array(yerr[:npts])

        if outgroup.datatype == 'xas':
            outgroup.energy = outgroup.xdat
            outgroup.mu     = outgroup.ydat

        popts = {}
        path, fname = os.path.split(outgroup.filename)
        popts['label'] = "%s: %s" % (fname, outgroup.plot_ylabel)
        popts['title']  = fname
        popts['ylabel'] = outgroup.plot_ylabel
        popts['xlabel'] = outgroup.plot_xlabel

        self.plotpanel.plot(outgroup.xdat, outgroup.ydat, **popts)

        for i in range(self.nb.GetPageCount()):
            if 'plot' in self.nb.GetPageText(i).lower():
                self.nb.SetSelection(i)