示例#1
0
    def __init__(self, **kwargs):

        Notice.title()
        Notice.hr_header("Initializing")

        params = kwargs.get('params')
        layers = kwargs.get('layers')
        potfields = kwargs.get('potfields')
        data = kwargs.get('data')
        velocity = kwargs.get('velocity')

        super(TransectContainer, self).__init__(params)

        print "Starting {}, id {}, file {}".format(self.title,
                                                   self.id,
                                                   self.config_file)

        # Set up 'data' — the transect line — from shapefile.
        self.data = None
        with fiona.open(data['transect_file']) as c:
            for line in c:
                if line['properties']['id'] == self.id:
                    self.data = shape(line['geometry'])
        if not self.data:
            Notice.fail("No transect with ID "+self.id)

        # self.data.length holds the length of the transect in metres
        # But often we want ints, and sometimes the number of samples.
        # This will give us a nice linspace. Put them in params.
        params['length'] = self.length = int(np.floor(self.data.length))
        params['nsamples'] = self.nsamples = self.length + 1
        params['linspace'] = self.linspace = np.linspace(0, self.length,
                                                         self.nsamples)

        self.time = time.strftime("%Y/%m/%d %H:%M", time.localtime())
        self.tops_file = data['tops_file']
        self.log = LogContainer(data['well_dir'], params)
        self.velocity = self.__velocity_factory(velocity, params)
        self.seismic = SeismicContainer(data['seismic_dir'],
                                        self.velocity,
                                        params)
        self.horizons = HorizonContainer(data['horizon_dir'],
                                         self.velocity,
                                         params)
        self.elevation = ElevationContainer(data['elevation_file'], params)
        self.bedrock = BedrockContainer(data['bedrock_dir'], params)
        self.potfield = PotfieldContainer(potfields, params)
        self.locmap = LocmapContainer(layers, params)
示例#2
0
    def __init__(self, **kwargs):

        Notice.title()
        Notice.hr_header("Initializing")

        params = kwargs.get('params')
        layers = kwargs.get('layers')
        potfields = kwargs.get('potfields')
        data = kwargs.get('data')
        velocity = kwargs.get('velocity')

        super(TransectContainer, self).__init__(params)

        print "Starting {}, id {}, file {}".format(self.title, self.id,
                                                   self.config_file)

        # Set up 'data' — the transect line — from shapefile.
        self.data = None
        with fiona.open(data['transect_file']) as c:
            for line in c:
                if line['properties']['id'] == self.id:
                    self.data = shape(line['geometry'])
        if not self.data:
            Notice.fail("No transect with ID " + self.id)

        # self.data.length holds the length of the transect in metres
        # But often we want ints, and sometimes the number of samples.
        # This will give us a nice linspace. Put them in params.
        params['length'] = self.length = int(np.floor(self.data.length))
        params['nsamples'] = self.nsamples = self.length + 1
        params['linspace'] = self.linspace = np.linspace(
            0, self.length, self.nsamples)

        self.time = time.strftime("%Y/%m/%d %H:%M", time.localtime())
        self.tops_file = data['tops_file']
        self.log = LogContainer(data['well_dir'], params)
        self.velocity = self.__velocity_factory(velocity, params)
        self.seismic = SeismicContainer(data['seismic_dir'], self.velocity,
                                        params)
        self.horizons = HorizonContainer(data['horizon_dir'], self.velocity,
                                         params)
        self.elevation = ElevationContainer(data['elevation_file'], params)
        self.bedrock = BedrockContainer(data['bedrock_dir'], params)
        self.potfield = PotfieldContainer(potfields, params)
        self.locmap = LocmapContainer(layers, params)
示例#3
0
def main(target, cfg):
    """
    Puts everything together.
    """
    t0 = time.time()

    #####################################################################
    #
    # READ SEGY
    #
    #####################################################################
    if cfg['segy_library'].lower() == 'obspy':
        s = Seismic.from_segy_with_obspy(target, params={'ndim': cfg['ndim']})
    else:
        s = Seismic.from_segy(target, params={'ndim': cfg['ndim']})

    # Set the line and/or xline number.
    try:
        n, xl = cfg['number']
    except:
        n, xl = cfg['number'], 0.5

    # Set the direction.
    if (s.ndim) == 2:
        direction = ['inline']
    elif cfg['direction'].lower()[0] == 'i':
        direction = ['inline']
    elif cfg['direction'].lower()[0] in ['x', 'c']:  # Allow 'crossline' too.
        direction = ['xline']
    elif cfg['direction'].lower()[0] == 't':
        direction = ['tslice']
    else:
        direction = ['xline', 'inline']

    # Get the data.
    try:
        ss = [
            Seismic.from_seismic(s, n=n, direction=d)
            for n, d in zip((n, xl), direction)
        ]
    except IndexError:
        # Perhaps misinterpreted 2D as 3D
        s = Seismic.from_segy(target, params={'ndim': 2})
        direction = ['inline']
        ss = [
            Seismic.from_seismic(s, n=n, direction=d)
            for n, d in zip((n, xl), direction)
        ]

    clip_val = np.percentile(s.data, cfg['percentile'])

    if clip_val < 10:
        fstr = '{:.3f}'
    elif clip_val < 100:
        fstr = '{:.2f}'
    elif clip_val < 1000:
        fstr = '{:.1f}'
    else:
        fstr = '{:.0f}'

    # Notify user of parameters.
    Notice.info("n_traces   {}".format(s.ntraces))
    Notice.info("n_samples  {}".format(s.nsamples))
    Notice.info("dt         {}".format(s.dt))
    Notice.info("t_start    {}".format(s.tstart))
    Notice.info("t_end      {}".format(s.tend))
    Notice.info("max_val    " + fstr.format(np.amax(s.data)))
    Notice.info("min_val    " + fstr.format(np.amin(s.data)))
    Notice.info("clip_val   " + fstr.format(clip_val))

    t1 = time.time()
    Notice.ok("Read data in {:.1f} s".format(t1 - t0))

    #####################################################################
    #
    # MAKE PLOT
    #
    #####################################################################
    Notice.hr_header("Plotting")

    # Plot size parameters.
    wsl = 6  # Width of sidelabel, inches
    mih = 11  # Minimum plot height, inches
    fhh = 5  # File header box height, inches
    m = 0.75  # basic unit of margins, inches

    # Margins, CSS like: top, right, bottom, left.
    mt, mr, mb, ml = m, 1.5 * m, m, 1.5 * m
    mm = 2 * m  # padded margin between seismic and label

    # Determine plot dimensions. Kind of laborious and repetitive (see below).
    if cfg['plot_width']:
        seismic_width = cfg['plot_width'] - wsl - mm - ml - mr
        tpi = max([s.ntraces for s in ss]) / seismic_width
    else:
        tpi = cfg['tpi']

    if cfg['plot_height']:
        seismic_height = max(
            mih, cfg['plot_height']) - mb - 0.75 * (len(ss) - 1) - mt
        seismic_height_raw = seismic_height / len(ss)
        ips = seismic_height_raw / (s.tbasis[-1] - s.tbasis[0])
    else:
        ips = cfg['ips']

    # Width is determined by seismic width, plus sidelabel, plus margins.
    # Height is given by ips, but with a minimum of mih inches.
    if 'tslice' in direction:
        seismic_width = [s.ntraces / tpi for s in ss]
        seismic_height_raw = max([s.nxlines for s in ss]) / tpi
    else:
        seismic_width = [s.ntraces / tpi for s in ss]
        seismic_height_raw = ips * (s.tbasis[-1] - s.tbasis[0])

    w = ml + max(seismic_width) + mm + wsl + mr  # inches
    seismic_height = len(ss) * seismic_height_raw
    h_reqd = mb + seismic_height + 0.75 * (len(ss) - 1) + mt  # inches
    h = max(mih, h_reqd)

    # Calculate where to start sidelabel and seismic data.
    # Depends on whether sidelabel is on the left or right.
    if cfg['sidelabel'] == 'right':
        ssl = (ml + max(seismic_width) + mm) / w  # Start of side label (ratio)
        seismic_left = ml / w
    else:
        ssl = ml / w
        seismic_left = (ml + wsl + mm) / w

    adj = max(0, h - h_reqd) / 2
    seismic_bottom = (mb / h) + adj / h
    seismic_width_fraction = [sw / w for sw in seismic_width]
    seismic_height_fraction = seismic_height_raw / h

    # Publish some notices so user knows plot size.
    Notice.info("plot width   {:.2f} in".format(w))
    Notice.info("plot height  {:.2f} in".format(h))

    # Make the figure.
    fig = plt.figure(figsize=(w, h), facecolor='w')

    # Set the tickformat.
    tickfmt = mtick.FormatStrFormatter('%.0f')

    # Could definitely do better for default fontsize than 10.
    # Ideally would be adaptive to plot size.
    cfg['fontsize'] = cfg['fontsize'] or 10

    # Plot title.
    if cfg['title']:
        # Deal with Windows paths: \1 gets interpreted as a group by regex.
        newt = re.sub(r'\\', '@@@@@', target)
        temp = re.sub(r'_filename', newt, cfg['title'])
        title = re.sub(r'@@@', r'\\', temp)
        title_ax = fig.add_axes([ssl, 1 - mt / h, wsl / w, mt / h])
        title_ax = plotter.plot_title(title_ax,
                                      title,
                                      fs=1.4 * cfg['fontsize'],
                                      cfg=cfg)

    # Plot title.
    if cfg['subtitle']:
        date = str(datetime.date.today())
        subtitle = re.sub(r'_date', date, cfg['subtitle'])
        subtitle_ax = fig.add_axes([ssl, 1 - mt / h, wsl / w, mt / h],
                                   label='subtitle')
        title_ax = plotter.plot_subtitle(subtitle_ax,
                                         subtitle,
                                         fs=0.75 * cfg['fontsize'],
                                         cfg=cfg)

    # Plot text header.
    start = (h - 1.5 * mt - fhh) / h
    head_ax = fig.add_axes([ssl, start, wsl / w, fhh / h])
    head_ax = plotter.plot_header(head_ax,
                                  s.header,
                                  fs=9,
                                  cfg=cfg,
                                  version=__version__)

    # Plot histogram.
    # Params for histogram plot.
    pady = 0.75 / h  # 0.75 inch
    padx = 0.75 / w  # 0.75 inch
    cstrip = 0.3 / h  # color_strip height = 0.3 in
    charth = 1.25 / h  # height of charts = 1.25 in
    chartw = wsl / w - mr / w - padx  # or ml/w for left-hand sidelabel; same thing
    chartx = (ssl + padx)
    histy = 1.5 * mb / h + charth + pady
    # Plot colourbar under histogram.
    clrbar_ax = fig.add_axes([chartx, histy - cstrip, chartw, cstrip])
    clrbar_ax = plotter.plot_colourbar(clrbar_ax, cmap=cfg['cmap'])
    # Plot histogram itself.
    hist_ax = fig.add_axes([chartx, histy, chartw, charth])
    hist_ax = plotter.plot_histogram(hist_ax, s.data, tickfmt, cfg)

    # Plot spectrum.
    specy = 1.5 * mb / h
    spec_ax = fig.add_axes([chartx, specy, chartw, charth])

    try:
        colour = utils.rgb_to_hex(cfg['highlight_colour'])
        spec_ax = s.plot_spectrum(
            ax=spec_ax,
            tickfmt=tickfmt,
            ntraces=20,
            fontsize=cfg['fontsize'],
            colour=colour,
        )
    except:
        pass  # No spectrum, oh well.

    for i, line in enumerate(ss):
        # Add the seismic axis.
        ax = fig.add_axes([
            seismic_left,
            seismic_bottom + i * seismic_height_fraction + i * pady,
            seismic_width_fraction[i], seismic_height_fraction
        ])

        # Plot seismic data.
        if cfg['display'].lower() in ['vd', 'varden', 'variable', 'both']:
            im = ax.imshow(line.data.T,
                           cmap=cfg['cmap'],
                           clim=[-clip_val, clip_val],
                           extent=[
                               line.olineidx[0], line.olineidx[-1],
                               1000 * line.tbasis[-1], line.tbasis[0]
                           ],
                           aspect='auto',
                           interpolation=cfg['interpolation'])

            if np.argmin(seismic_width) == i:
                cax = utils.add_subplot_axes(ax, [1.01, 0.02, 0.01, 0.2])
                _ = plt.colorbar(im, cax=cax)

        if cfg['display'].lower() in ['wiggle', 'both']:
            ax = line.wiggle_plot(
                cfg['number'],
                direction,
                ax=ax,
                skip=cfg['skip'],
                gain=cfg['gain'],
                rgb=cfg['colour'],
                alpha=cfg['opacity'],
                lw=cfg['lineweight'],
            )

        valid = ['vd', 'varden', 'variable', 'wiggle', 'both']
        if cfg['display'].lower() not in valid:
            Notice.fail("You must specify the display: wiggle, vd, both.")
            return

        # Seismic axis annotations.
        ax.set_ylabel(utils.LABELS[line.ylabel], fontsize=cfg['fontsize'])
        ax.set_xlabel(utils.LABELS[line.xlabel],
                      fontsize=cfg['fontsize'],
                      ha='center')
        ax.tick_params(axis='both', labelsize=cfg['fontsize'] - 2)

        ax.xaxis.set_major_formatter(tickfmt)
        ax.yaxis.set_major_formatter(tickfmt)
        if ('tslice' not in direction):
            ax.set_ylim(1000 * cfg['trange'][1] or 1000 * line.tbasis[-1],
                        1000 * cfg['trange'][0])

        # Crossing point. Will only work for non-arb lines.
        try:
            ax.axvline(ss[i - 1].slineidx[0],
                       c=utils.rgb_to_hex(cfg['highlight_colour']),
                       alpha=0.5)
        except IndexError:
            pass  # Nevermind.

        # Grid, optional.
        if cfg['grid_time'] or cfg['grid_traces']:
            ax.grid()
            for l in ax.get_xgridlines():
                l.set_color(utils.rgb_to_hex(cfg['grid_colour']))
                l.set_linestyle('-')
                if cfg['grid_traces']:
                    l.set_linewidth(1)
                else:
                    l.set_linewidth(0)
                l.set_alpha(min(1, cfg['grid_alpha']))
            for l in ax.get_ygridlines():
                l.set_color(utils.rgb_to_hex(cfg['grid_colour']))
                l.set_linestyle('-')
                if cfg['grid_time']:
                    if 'tslice' in direction:
                        l.set_linewidth(1)
                    else:
                        l.set_linewidth(1.4)
                else:
                    l.set_linewidth(0)
                l.set_alpha(min(1, 2 * cfg['grid_alpha']))

        # Watermark.
        if cfg['watermark_text']:
            ax = plotter.watermark_seismic(ax, cfg)

        # Make parasitic (top) axis for labeling CDP number.
        if (s.data.ndim > 2) and ('tslice' not in direction):
            ylim = ax.get_ylim()
            par1 = ax.twiny()
            par1.spines["top"].set_position(("axes", 1.0))
            par1.plot(line.slineidx, np.zeros_like(line.slineidx), alpha=0)
            par1.set_xlabel(utils.LABELS[line.slabel],
                            fontsize=cfg['fontsize'])
            par1.set_ylim(ylim)

            # Adjust ticks
            tx = par1.get_xticks()
            newtx = [
                line.slineidx[len(line.slineidx) * (i // len(tx))]
                for i, _ in enumerate(tx)
            ]
            par1.set_xticklabels(newtx, fontsize=cfg['fontsize'] - 2)

    t2 = time.time()
    Notice.ok("Built plot in {:.1f} s".format(t2 - t1))

    #####################################################################
    #
    # SAVE FILE
    #
    #####################################################################
    Notice.hr_header("Saving")

    dname, fname, ext = utils.path_bits(target)
    outfile = cfg['outfile'] or ''
    if not os.path.splitext(outfile)[1]:
        outfile = os.path.join(cfg['outfile'] or dname, fname + '.png')

    fig.savefig(outfile)

    t3 = time.time()
    Notice.info("output file {}".format(outfile))
    Notice.ok("Saved output in {:.1f} s".format(t3 - t2))

    if cfg['stain_paper'] or cfg['coffee_rings'] or cfg['distort'] or cfg[
            'scribble']:
        fname = os.path.splitext(outfile)[0] + ".stupid.png"
        fig.savefig(fname)
    else:
        return

    #####################################################################
    #
    # SAVE STUPID FILE
    #
    #####################################################################
    Notice.hr_header("Applying the stupidity")

    stupid_image = Image.open(fname)
    if cfg['stain_paper']:
        utils.stain_paper(stupid_image)
    utils.add_rings(stupid_image, cfg['coffee_rings'])
    if cfg['scribble']:
        utils.add_scribble(stupid_image)

    # Trick to remove remaining semi-transparent pixels.
    result = Image.new("RGB", stupid_image.size, (255, 255, 255))
    result.paste(stupid_image)

    result.save(fname)

    t4 = time.time()
    Notice.info("output file {}".format(fname))
    Notice.ok("Saved stupidity in {:.1f} s".format(t4 - t3))

    return
示例#4
0
def plot_feature_well(tc, gs):
    """
    Plotting function for the feature well.

    Args:
        tc (TransectContainer): The container for the main plot.
        log (axis): A matplotlib axis.
        gs (GridSpec): A matplotlib gridspec.
    """
    fname = tc.settings['curve_display']

    logs = tc.log.get(tc.feature_well)

    if not logs:
        # There was no data for this well, so there won't be a feature plot.
        Notice.fail("There's no well data for feature well " + tc.feature_well)
        return gs

    Z = logs.data['DEPT']

    curves = ['GR', 'DT',
              'DPHI_SAN',
              'NPHI_SAN',
              'DTS',
              'RT_HRLT',
              'RHOB',
              'DRHO']

    window = tc.settings.get('curve_smooth_window') or 51
    ntracks = 5
    lw = 1.0
    smooth = True
    naxes = 0
    ncurv_per_track = np.zeros(ntracks)

    if getattr(tc.log, 'striplog', None):
        ncurv_per_track[0] = 1

    for curve in curves:
        naxes += 1
        params = get_curve_params(curve, fname)
        ncurv_per_track[params['track']] += 1

    axss = plt.subplot(gs[2:, -5])
    axs0 = [axss, axss.twiny()]
    axs1 = [plt.subplot(gs[2:, -4])]
    axs2 = [plt.subplot(gs[2:, -3])]
    axs3 = [plt.subplot(gs[2:, -2])]
    axs4 = [plt.subplot(gs[2:, -1])]

    axs = [axs0, axs1, axs2, axs3, axs4]

    if getattr(tc.log, 'striplog', None):
        legend = Legend.default()
        try:
            logs.striplog[tc.log.striplog].plot_axis(axs0[0], legend=legend)
        except KeyError:
            # In fact, this striplog doesn't exist.
            Notice.fail("There is no such striplog" + tc.log.striplog)
            # And move on...

    axs0[0].set_ylim([Z[-1], 0])
    label_shift = np.zeros(len(axs))

    for curve in curves:
        try:
            values = logs.data[curve]
        except ValueError:
            Notice.warning("Curve not present: "+curve)
            values = np.empty_like(Z)
            values[:] = np.nan

        params = get_curve_params(curve, fname)
        i = params['track']

        j = 0

        label_shift[i] += 1

        linOrlog = params['logarithmic']

        sxticks = np.array(params['xticks'])
        xticks = np.array(sxticks, dtype=float)
        whichticks = 'major'

        if linOrlog == 'log':
            midline = np.log(np.mean(xticks))
            xpos = midline
            whichticks = 'minor'
        else:
            midline = np.mean(xticks)
            xpos = midline

        if smooth:
            values = utils.rolling_median(values, window)

        if curve == 'GR':
            j = 1  # second axis in first track
            label_shift[i] = 1
            if params['fill_left_cond']:
                # do the fill for the lithology track
                axs[i][j].fill_betweenx(Z, params['xleft'], values,
                                        facecolor=params['fill_left'],
                                        alpha=1.0, zorder=11)

        if (curve == 'DPHI_SAN') and params['fill_left_cond']:
            # do the fill for the neutron porosity track
            try:
                nphi = utils.rolling_median(logs.data['NPHI_SAN'], window)
            except ValueError:
                Notice.warning("No NPHI in this well")
                nphi = np.empty_like(Z)
                nphi[:] = np.nan
            axs[i][j].fill_betweenx(Z,
                                    nphi,
                                    values,
                                    where=nphi >= values,
                                    facecolor=params['fill_left'],
                                    alpha=1.0,
                                    zorder=11)

            axs[i][j].fill_betweenx(Z,
                                    nphi,
                                    values,
                                    where=nphi <= values,
                                    facecolor='#8C1717',
                                    alpha=0.5,
                                    zorder=12)

        if curve == 'DRHO':
            blk_drho = 3.2
            values += blk_drho   # this is a hack to get DRHO on RHOB scale
            axs[i][j].fill_betweenx(Z,
                                    blk_drho,
                                    values,
                                    where=nphi <= values,
                                    facecolor='#CCCCCC',
                                    alpha=0.5,
                                    zorder=12)

        # fill right
        if params['fill_right_cond']:

            axs[i][j].fill_betweenx(Z, values, params['xright'],
                                    facecolor=params['fill_right'],
                                    alpha=1.0, zorder=12)

        # plot curve
        axs[i][j].plot(values, Z, color=params['hexcolor'],
                       lw=lw, zorder=13)

        # set scale of curve
        axs[i][j].set_xlim([params['xleft'], params['xright']])

        # ------------------------------------------------- #
        # curve labels
        # ------------------------------------------------- #

        trans = transforms.blended_transform_factory(axs[i][j].transData,
                                                     axs[i][j].transData)

        magic = -Z[-1] / 12.
        axs[i][j].text(xpos, magic - (magic/4)*(label_shift[i]-1),
                       curve,
                       horizontalalignment='center',
                       verticalalignment='bottom',
                       fontsize=12, color=params['hexcolor'],
                       transform=trans)
        # curve units
        units = '${}$'.format(params['units'])
        if label_shift[i] <= 1:
            axs[i][j].text(xpos, magic*0.5,
                           units,
                           horizontalalignment='center',
                           verticalalignment='top',
                           fontsize=12, color='k',
                           transform=trans)

        # ------------------------------------------------- #
        # scales and tickmarks
        # ------------------------------------------------- #

        axs[i][j].set_xscale(linOrlog)
        axs[i][j].set_ylim([Z[-1], 0])
        axs[i][j].axes.xaxis.set_ticks(xticks)
        axs[i][j].axes.xaxis.set_ticklabels(sxticks, fontsize=8)
        for label in axs[i][j].axes.xaxis.get_ticklabels():
            label.set_rotation(90)
        axs[i][j].tick_params(axis='x', direction='out')
        axs[i][j].xaxis.tick_top()
        axs[i][j].xaxis.set_label_position('top')
        axs[i][j].xaxis.grid(True, which=whichticks,
                             linewidth=0.25, linestyle='-',
                             color='0.75', zorder=100)

        axs[i][j].yaxis.grid(True, which=whichticks,
                             linewidth=0.25, linestyle='-',
                             color='0.75', zorder=100)
        axs[i][j].yaxis.set_ticks(np.arange(0, max(Z), 100))
        if i != 0:
                axs[i][j].set_yticklabels("")

    # ------------------------------------------------- #
    # End of curve loop
    # ------------------------------------------------- #

    # Add Depth label
    axs[0][0].text(0, 1.05, 'MD\n$m$', fontsize='10',
                   horizontalalignment='center',
                   verticalalignment='center',
                   transform=axs[0][0].transAxes)

    axs[0][0].axes.yaxis.get_ticklabels()
    axs[0][0].axes.xaxis.set_ticklabels('')

    for label in axs[0][0].axes.yaxis.get_ticklabels():
            label.set_rotation(90)
            label.set_fontsize(10)

    for label in axs[1][0].axes.xaxis.get_ticklabels():
        label.set_rotation(90)
        label.set_fontsize(10)

    # Add Tops
    try:
        if os.path.exists(tc.tops_file):
            tops = utils.get_tops(tc.tops_file)
            topx = get_curve_params('DT', fname)
            topmidpt = np.amax((topx)['xright'])

            # plot tops
            for i in range(ntracks):

                for mkr, depth in tops.iteritems():

                    # draw horizontal bars at the top position
                    axs[i][-1].axhline(y=depth,
                                       xmin=0.01, xmax=.99,
                                       color='b', lw=2,
                                       alpha=0.5,
                                       zorder=100)

                    # draw text box at the right edge of the last track
                    axs[-1][-1].text(x=topmidpt, y=depth, s=mkr,
                                     alpha=0.5, color='k',
                                     fontsize='8',
                                     horizontalalignment='center',
                                     verticalalignment='center',
                                     zorder=10000,
                                     bbox=dict(facecolor='white',
                                               edgecolor='k',
                                               alpha=0.25,
                                               lw=0.25),
                                     weight='light')

    except AttributeError:
        Notice.warning("No tops for this well")
    except TypeError:
        # We didn't get a tops file so move along.
        print "No tops for this well"

    return gs
示例#5
0
def main(target, cfg):
    """
    Puts everything together.
    """
    t0 = time.time()

    # Read the file.
    section = readSEGY(target, unpack_headers=True)

    # Calculate some things.
    # NB Getting nsamples and dt from the first trace assumes that all
    # traces are the same length, which is not a safe assumption in SEGY v2.
    ninlines = section.traces[-1].header.trace_sequence_number_within_line
    last_tr = section.traces[-1].header.trace_sequence_number_within_segy_file
    nxlines = last_tr / ninlines

    nsamples = section.traces[0].header.number_of_samples_in_this_trace
    dt = section.traces[0].header.sample_interval_in_ms_for_this_trace
    ntraces = len(section.traces)
    tbase = 0.001 * np.arange(0, nsamples * dt, dt)
    tstart = 0
    tend = np.amax(tbase)

    # Make the data array.
    data = np.vstack([t.data for t in section.traces]).T

    threed = False
    if nxlines > 1:  # Then it's a 3D and `data` is an ensemble.
        threed = True
        cube = np.reshape(data.T, (ninlines, nxlines, nsamples))
        l = cfg['number']
        if cfg['direction'].lower()[0] == 'i':
            direction = 'inline'
            ntraces = nxlines
            l *= ninlines if (l < 1) else 1
            data = cube[l, :, :].T
        else:
            direction = 'xline'
            ntraces = ninlines
            l *= nxlines if (l < 1) else 1
            data = cube[:, l, :].T

    # Collect some other data. Use a for loop because there are several.
    elev, esp, ens, tsq = [], [], [], []
    for i, trace in enumerate(section.traces):
        elev.append(trace.header.receiver_group_elevation)
        esp.append(trace.header.energy_source_point_number)
        tsq.append(trace.header.trace_sequence_number_within_line)

        if threed:
            trs = []
            if direction == 'inline':
                cdp_label_text = 'Crossline number'
                trace_label_text = 'Trace number'
                ens.append(trace.header.for_3d_poststack_data_this_field_is_for_cross_line_number)
                trs.append(trace.header.for_3d_poststack_data_this_field_is_for_in_line_number)
            else:
                cdp_label_text = 'Inline number'
                trace_label_text = 'Trace number'
                ens.append(trace.header.for_3d_poststack_data_this_field_is_for_in_line_number)
                trs.append(trace.header.for_3d_poststack_data_this_field_is_for_cross_line_number)
            line_no = min(trs)
        else:
            cdp_label_text = 'CDP number'
            trace_label_text = 'Trace number'
            ens.append(trace.header.ensemble_number)
        min_tr, max_tr = 0, ntraces

    traces = (min_tr, max_tr)

    clip_val = np.percentile(data, cfg['percentile'])

    # Notify user of parameters
    Notice.info("n_traces   {}".format(ntraces))
    Notice.info("n_samples  {}".format(nsamples))
    Notice.info("dt         {}".format(dt))
    Notice.info("t_start    {}".format(tstart))
    Notice.info("t_end      {}".format(tend))
    Notice.info("max_val    {}".format(np.amax(data)))
    Notice.info("min_val    {}".format(np.amin(data)))
    Notice.info("clip_val   {}".format(clip_val))

    t1 = time.time()
    Notice.ok("Read data in {:.1f} s".format(t1-t0))

    #####################################################################
    #
    # MAKE PLOT
    #
    #####################################################################
    Notice.hr_header("Plotting")

    ##################################
    # Plot size parameters
    # Some constants
    fs = cfg['fontsize']
    wsl = 6  # Width of sidelabel, inches
    mih = 12  # Minimum plot height, inches
    fhh = 5  # File header box height, inches
    m = 0.5  # basic unit of margins, inches

    # Margins, CSS like: top, right, bottom, left.
    mt, mr, mb, ml = m,  2 * m, m, 2 * m
    mm = m  # padded margin between seismic and label

    # Width is determined by seismic width, plus sidelabel, plus margins.
    seismic_width = ntraces / cfg['tpi']
    w = ml + seismic_width + mm + wsl + mr  # inches

    # Height is given by ips, but with a minimum of mih inches
    seismic_height = cfg['ips'] * (tbase[-1] - tbase[0]) / 1000
    h_reqd = mb + seismic_height + mt  # inches
    h = max(mih, h_reqd)

    # Calculate where to start sidelabel and seismic data.
    # Depends on whether sidelabel is on the left or right.
    if cfg['sidelabel'] == 'right':
        ssl = (ml + seismic_width + mm) / w  # Start of side label (ratio)
        seismic_left = ml / w
    else:
        ssl = ml / w
        seismic_left = (ml + wsl + mm) / w

    adj = max(0, h - h_reqd) / 2
    seismic_bottom = (mb / h) + adj / h
    seismic_width_fraction = seismic_width / w
    seismic_height_fraction = seismic_height / h

    # Publish some notices so user knows plot size.
    Notice.info("Width of plot   {} in".format(w))
    Notice.info("Height of plot  {} in".format(h))

    ##################################
    # Make the figure.
    fig = plt.figure(figsize=(w, h), facecolor='w')

    # Add the main seismic axis.
    ax = fig.add_axes([seismic_left,
                       seismic_bottom,
                       seismic_width_fraction,
                       seismic_height_fraction
                       ])

    # make parasitic axes for labeling CDP number
    par1 = ax.twiny()
    par1.spines["top"].set_position(("axes", 1.0))
    tickfmt = mtick.FormatStrFormatter('%.0f')
    par1.plot(ens, np.zeros_like(ens))
    par1.set_xlabel(cdp_label_text, fontsize=fs-2)
    par1.set_xticklabels(par1.get_xticks(), fontsize=fs-2)
    par1.xaxis.set_major_formatter(tickfmt)

    # Plot title
    title_ax = fig.add_axes([ssl, 1-mt/h, wsl/w, mt/(h)])
    title_ax = plotter.plot_title(title_ax, target, fs=1.5*fs, cfg=cfg)
    if threed:
        title_ax.text(0.0, 0.0, '{} {}'.format(direction.title(), line_no))

    # Plot text header.
    s = section.textual_file_header.decode()
    start = (h - 1.5*mt - fhh) / h
    head_ax = fig.add_axes([ssl, start, wsl/w, fhh/h])
    head_ax = plotter.plot_header(head_ax, s, fs=fs-1, cfg=cfg)

    # Plot histogram.
    # Params for histogram plot
    pady = 0.75 / h  # 0.75 inch
    padx = 0.75 / w   # 0.75 inch
    cstrip = 0.3/h   # color_strip height = 0.3 in
    charth = 1.5/h   # height of charts = 1.5 in
    chartw = wsl/w - mr/w - padx  # or ml/w for left-hand sidelabel; same thing
    chartx = (ssl + padx)
    histy = 1.5 * mb/h + charth + pady
    # Plot colourbar under histogram
    clrbar_ax = fig.add_axes([chartx, histy - cstrip, chartw, cstrip])
    clrbar_ax = plotter.plot_colourbar(clrbar_ax, cmap=cfg['cmap'])
    # Plot histogram itself
    hist_ax = fig.add_axes([chartx, histy, chartw, charth])
    hist_ax = plotter.plot_histogram(hist_ax,
                                     data,
                                     tickfmt,
                                     percentile=cfg['percentile'],
                                     fs=fs)

    # Plot spectrum.
    specy = 1.5 * mb/h
    spec_ax = fig.add_axes([chartx, specy, chartw, charth])

    try:
        spec_ax = plotter.plot_spectrum(spec_ax,
                                        data,
                                        dt,
                                        tickfmt,
                                        ntraces=20,
                                        fontsize=fs)
    except:
        pass

    # Plot seismic data.
    if cfg['display'].lower() in ['vd', 'varden', 'variable']:
        _ = ax.imshow(data,
                      cmap=cfg['cmap'],
                      clim=[-clip_val, clip_val],
                      extent=[0, ntraces, tbase[-1], tbase[0]],
                      aspect='auto'
                      )

    elif cfg['display'].lower() == 'wiggle':
        ax = plotter.wiggle_plot(ax,
                                 data,
                                 tbase,
                                 ntraces,
                                 skip=cfg['skip'],
                                 gain=cfg['gain'],
                                 rgb=cfg['colour'],
                                 alpha=cfg['opacity'],
                                 lw=cfg['lineweight']
                                 )
        ax.set_ylim(ax.get_ylim()[::-1])

    elif cfg['display'].lower() == 'both':
        # variable density goes on first
        _ = ax.imshow(data,
                      cmap=cfg['cmap'],
                      clim=[-clip_val, clip_val],
                      extent=[0, ntraces, tbase[-1], tbase[0]],
                      aspect='auto'
                      )

        # wiggle plots go on top
        ax = plotter.wiggle_plot(ax,
                                 data,
                                 tbase,
                                 ntraces,
                                 skip=cfg['skip'],
                                 gain=cfg['gain'],
                                 rgb=cfg['colour'],
                                 alpha=cfg['opacity'],
                                 lw=cfg['lineweight']
                                 )
        # ax.set_ylim(ax.get_ylim()[::-1])

    else:
        Notice.fail("You need to specify the type of display: wiggle or vd")

    # Seismic axis annotations.
    ax = plotter.decorate_seismic(ax, traces, trace_label_text, tickfmt, cfg)

    # Watermark.
    if cfg['watermark_text']:
        Notice.info("Adding watermark")
        ax = plotter.watermark_seismic(ax, cfg)

    t2 = time.time()
    Notice.ok("Built plot in {:.1f} s".format(t2-t1))

    #####################################################################
    #
    # SAVE FILE
    #
    #####################################################################
    Notice.hr_header("Saving")

    if cfg['stain_paper'] or cfg['coffee_rings'] or cfg['distort'] or cfg['scribble']:
        stupid = True
    else:
        stupid = False

    s = "Saved image file {} in {:.1f} s"
    if cfg['outfile']:

        if os.path.isfile(cfg['outfile']):
            outfile = cfg['outfile']
        else:  # is directory
            stem, ext = os.path.splitext(os.path.split(target)[1])
            outfile = os.path.join(cfg['outfile'], stem + '.png')

        stem, _ = os.path.splitext(outfile)  # Needed for stupidity.
        fig.savefig(outfile)
        t3 = time.time()
        Notice.ok(s.format(outfile, t3-t2))
    else:  # Do the default: save a PNG in the same dir as the target.
        stem, _ = os.path.splitext(target)
        fig.savefig(stem)
        t3 = time.time()
        Notice.ok(s.format(stem+'.png', t3-t2))

    if stupid:
        fig.savefig(stem + ".stupid.png")
    else:
        return

    #####################################################################
    #
    # SAVE STUPID FILE
    #
    #####################################################################
    Notice.hr_header("Applying the stupidity")

    stupid_image = Image.open(stem + ".stupid.png")
    if cfg['stain_paper']:
        utils.stain_paper(stupid_image)
    utils.add_rings(stupid_image, cfg['coffee_rings'])
    if cfg['scribble']:
        utils.add_scribble(stupid_image)
    stupid_image.save(stem + ".stupid.png")

    s = "Saved stupid file stupid.png in {:.1f} s"
    t4 = time.time()
    Notice.ok(s.format(t4-t3))

    return
示例#6
0
                'coffee_rings': 0,
                'distort': False,
                'scribble': False,
                }

    for k, v in defaults.items():
        if cfg.get(k) is None:
            cfg[k] = v

    cfg['outfile'] = args.out

    # Gather files to work on, then go and do them.
    if os.path.isfile(target):
        Notice.hr_header("Processing file: {}".format(target))
        main(target, cfg)
        Notice.hr_header("Done")
    elif os.path.isdir(target):
        if args.recursive:
            Notice.info("Looking for SEGY files in {} and its subdirectories".format(target))
            for target in utils.walk(target, "\\.se?gy$"):
                Notice.hr_header("Processing file: {}".format(target))
                main(target, cfg)
        else:
            Notice.info("Finding SEGY files in {}".format(target))
            for target in utils.listdir(target, "\\.se?gy$"):
                Notice.hr_header("Processing file: {}".format(target))
                main(target, cfg)
        Notice.hr_header("Done")
    else:
        Notice.fail("Not a file or directory.")
示例#7
0
def plot_feature_well(tc, gs):
    """
    Plotting function for the feature well.

    Args:
        tc (TransectContainer): The container for the main plot.
        log (axis): A matplotlib axis.
        gs (GridSpec): A matplotlib gridspec.
    """
    fname = tc.settings['curve_display']

    logs = tc.log.get(tc.feature_well)

    if not logs:
        # There was no data for this well, so there won't be a feature plot.
        Notice.fail("There's no well data for feature well " + tc.feature_well)
        return gs

    Z = logs.data['DEPT']

    curves = [
        'GR', 'DT', 'DPHI_SAN', 'NPHI_SAN', 'DTS', 'RT_HRLT', 'RHOB', 'DRHO'
    ]

    window = tc.settings.get('curve_smooth_window') or 51
    ntracks = 5
    lw = 1.0
    smooth = True
    naxes = 0
    ncurv_per_track = np.zeros(ntracks)

    if getattr(tc.log, 'striplog', None):
        ncurv_per_track[0] = 1

    for curve in curves:
        naxes += 1
        params = get_curve_params(curve, fname)
        ncurv_per_track[params['track']] += 1

    axss = plt.subplot(gs[2:, -5])
    axs0 = [axss, axss.twiny()]
    axs1 = [plt.subplot(gs[2:, -4])]
    axs2 = [plt.subplot(gs[2:, -3])]
    axs3 = [plt.subplot(gs[2:, -2])]
    axs4 = [plt.subplot(gs[2:, -1])]

    axs = [axs0, axs1, axs2, axs3, axs4]

    if getattr(tc.log, 'striplog', None):
        legend = Legend.default()
        try:
            logs.striplog[tc.log.striplog].plot_axis(axs0[0], legend=legend)
        except KeyError:
            # In fact, this striplog doesn't exist.
            Notice.fail("There is no such striplog" + tc.log.striplog)
            # And move on...

    axs0[0].set_ylim([Z[-1], 0])
    label_shift = np.zeros(len(axs))

    for curve in curves:
        try:
            values = logs.data[curve]
        except ValueError:
            Notice.warning("Curve not present: " + curve)
            values = np.empty_like(Z)
            values[:] = np.nan

        params = get_curve_params(curve, fname)
        i = params['track']

        j = 0

        label_shift[i] += 1

        linOrlog = params['logarithmic']

        sxticks = np.array(params['xticks'])
        xticks = np.array(sxticks, dtype=float)
        whichticks = 'major'

        if linOrlog == 'log':
            midline = np.log(np.mean(xticks))
            xpos = midline
            whichticks = 'minor'
        else:
            midline = np.mean(xticks)
            xpos = midline

        if smooth:
            values = utils.rolling_median(values, window)

        if curve == 'GR':
            j = 1  # second axis in first track
            label_shift[i] = 1
            if params['fill_left_cond']:
                # do the fill for the lithology track
                axs[i][j].fill_betweenx(Z,
                                        params['xleft'],
                                        values,
                                        facecolor=params['fill_left'],
                                        alpha=1.0,
                                        zorder=11)

        if (curve == 'DPHI_SAN') and params['fill_left_cond']:
            # do the fill for the neutron porosity track
            try:
                nphi = utils.rolling_median(logs.data['NPHI_SAN'], window)
            except ValueError:
                Notice.warning("No NPHI in this well")
                nphi = np.empty_like(Z)
                nphi[:] = np.nan
            axs[i][j].fill_betweenx(Z,
                                    nphi,
                                    values,
                                    where=nphi >= values,
                                    facecolor=params['fill_left'],
                                    alpha=1.0,
                                    zorder=11)

            axs[i][j].fill_betweenx(Z,
                                    nphi,
                                    values,
                                    where=nphi <= values,
                                    facecolor='#8C1717',
                                    alpha=0.5,
                                    zorder=12)

        if curve == 'DRHO':
            blk_drho = 3.2
            values += blk_drho  # this is a hack to get DRHO on RHOB scale
            axs[i][j].fill_betweenx(Z,
                                    blk_drho,
                                    values,
                                    where=nphi <= values,
                                    facecolor='#CCCCCC',
                                    alpha=0.5,
                                    zorder=12)

        # fill right
        if params['fill_right_cond']:

            axs[i][j].fill_betweenx(Z,
                                    values,
                                    params['xright'],
                                    facecolor=params['fill_right'],
                                    alpha=1.0,
                                    zorder=12)

        # plot curve
        axs[i][j].plot(values, Z, color=params['hexcolor'], lw=lw, zorder=13)

        # set scale of curve
        axs[i][j].set_xlim([params['xleft'], params['xright']])

        # ------------------------------------------------- #
        # curve labels
        # ------------------------------------------------- #

        trans = transforms.blended_transform_factory(axs[i][j].transData,
                                                     axs[i][j].transData)

        magic = -Z[-1] / 12.
        axs[i][j].text(xpos,
                       magic - (magic / 4) * (label_shift[i] - 1),
                       curve,
                       horizontalalignment='center',
                       verticalalignment='bottom',
                       fontsize=12,
                       color=params['hexcolor'],
                       transform=trans)
        # curve units
        units = '${}$'.format(params['units'])
        if label_shift[i] <= 1:
            axs[i][j].text(xpos,
                           magic * 0.5,
                           units,
                           horizontalalignment='center',
                           verticalalignment='top',
                           fontsize=12,
                           color='k',
                           transform=trans)

        # ------------------------------------------------- #
        # scales and tickmarks
        # ------------------------------------------------- #

        axs[i][j].set_xscale(linOrlog)
        axs[i][j].set_ylim([Z[-1], 0])
        axs[i][j].axes.xaxis.set_ticks(xticks)
        axs[i][j].axes.xaxis.set_ticklabels(sxticks, fontsize=8)
        for label in axs[i][j].axes.xaxis.get_ticklabels():
            label.set_rotation(90)
        axs[i][j].tick_params(axis='x', direction='out')
        axs[i][j].xaxis.tick_top()
        axs[i][j].xaxis.set_label_position('top')
        axs[i][j].xaxis.grid(True,
                             which=whichticks,
                             linewidth=0.25,
                             linestyle='-',
                             color='0.75',
                             zorder=100)

        axs[i][j].yaxis.grid(True,
                             which=whichticks,
                             linewidth=0.25,
                             linestyle='-',
                             color='0.75',
                             zorder=100)
        axs[i][j].yaxis.set_ticks(np.arange(0, max(Z), 100))
        if i != 0:
            axs[i][j].set_yticklabels("")

    # ------------------------------------------------- #
    # End of curve loop
    # ------------------------------------------------- #

    # Add Depth label
    axs[0][0].text(0,
                   1.05,
                   'MD\n$m$',
                   fontsize='10',
                   horizontalalignment='center',
                   verticalalignment='center',
                   transform=axs[0][0].transAxes)

    axs[0][0].axes.yaxis.get_ticklabels()
    axs[0][0].axes.xaxis.set_ticklabels('')

    for label in axs[0][0].axes.yaxis.get_ticklabels():
        label.set_rotation(90)
        label.set_fontsize(10)

    for label in axs[1][0].axes.xaxis.get_ticklabels():
        label.set_rotation(90)
        label.set_fontsize(10)

    # Add Tops
    try:
        if os.path.exists(tc.tops_file):
            tops = utils.get_tops(tc.tops_file)
            topx = get_curve_params('DT', fname)
            topmidpt = np.amax((topx)['xright'])

            # plot tops
            for i in range(ntracks):

                for mkr, depth in tops.iteritems():

                    # draw horizontal bars at the top position
                    axs[i][-1].axhline(y=depth,
                                       xmin=0.01,
                                       xmax=.99,
                                       color='b',
                                       lw=2,
                                       alpha=0.5,
                                       zorder=100)

                    # draw text box at the right edge of the last track
                    axs[-1][-1].text(x=topmidpt,
                                     y=depth,
                                     s=mkr,
                                     alpha=0.5,
                                     color='k',
                                     fontsize='8',
                                     horizontalalignment='center',
                                     verticalalignment='center',
                                     zorder=10000,
                                     bbox=dict(facecolor='white',
                                               edgecolor='k',
                                               alpha=0.25,
                                               lw=0.25),
                                     weight='light')

    except AttributeError:
        Notice.warning("No tops for this well")
    except TypeError:
        # We didn't get a tops file so move along.
        print "No tops for this well"

    return gs
示例#8
0
def main(target, cfg):
    """
    Puts everything together.
    """
    t0 = time.time()

    #####################################################################
    #
    # READ SEGY
    #
    #####################################################################
    s = Seismic.from_segy(target, params={'ndim': cfg['ndim']})

    # Set the line and/or xline number.
    try:
        n, xl = cfg['number']
    except:
        n, xl = cfg['number'], 0.5

    # Set the direction.
    if (s.ndim) == 2:
        direction = ['inline']
    elif cfg['direction'].lower()[0] == 'i':
        direction = ['inline']
    elif cfg['direction'].lower()[0] == 'x':
        direction = ['xline']
    elif cfg['direction'].lower()[0] == 't':
        direction = ['tslice']
    else:
        direction = ['inline', 'xline']

    # Get the data.
    ss = [Seismic.from_seismic(s, n=n, direction=d) for n, d in zip((n, xl), direction)]
    data = [s.data for s in ss]

    clip_val = np.percentile(s.data, cfg['percentile'])

    # Notify user of parameters.
    Notice.info("n_traces   {}".format(s.ntraces))
    Notice.info("n_samples  {}".format(s.nsamples))
    Notice.info("dt         {}".format(s.dt))
    Notice.info("t_start    {}".format(s.tstart))
    Notice.info("t_end      {}".format(s.tend))
    Notice.info("max_val    {:.3f}".format(np.amax(s.data)))
    Notice.info("min_val    {:.3f}".format(np.amin(s.data)))
    Notice.info("clip_val   {:.3f}".format(clip_val))

    t1 = time.time()
    Notice.ok("Read data in {:.1f} s".format(t1-t0))

    #####################################################################
    #
    # MAKE PLOT
    #
    #####################################################################
    Notice.hr_header("Plotting")

    # Plot size parameters.
    fs = cfg['fontsize']
    wsl = 6  # Width of sidelabel, inches
    mih = 12  # Minimum plot height, inches
    fhh = 5  # File header box height, inches
    m = 0.5  # basic unit of margins, inches

    # Margins, CSS like: top, right, bottom, left.
    mt, mr, mb, ml = m, 2 * m, m, 2 * m
    mm = m  # padded margin between seismic and label

    # Width is determined by seismic width, plus sidelabel, plus margins.
    # Height is given by ips, but with a minimum of mih inches.
    if 'tslice' in direction:
        print('doing tslice')
        seismic_width = max([s.ninlines for s in ss]) / cfg['tpi']
        seismic_height_raw = max([s.nxlines for s in ss]) / cfg['tpi']
        print(seismic_width, seismic_height_raw)
    else:
        seismic_width = max([s.ntraces for s in ss]) / cfg['tpi']
        seismic_height_raw = cfg['ips'] * (s.tbasis[-1] - s.tbasis[0])

    w = ml + seismic_width + mm + wsl + mr  # inches
    seismic_height = len(ss) * seismic_height_raw
    h_reqd = mb + seismic_height + 0.75*(len(ss)-1) + mt  # inches
    h = max(mih, h_reqd)

    # Calculate where to start sidelabel and seismic data.
    # Depends on whether sidelabel is on the left or right.
    if cfg['sidelabel'] == 'right':
        ssl = (ml + seismic_width + mm) / w  # Start of side label (ratio)
        seismic_left = ml / w
    else:
        ssl = ml / w
        seismic_left = (ml + wsl + mm) / w

    adj = max(0, h - h_reqd) / 2
    seismic_bottom = (mb / h) + adj / h
    seismic_width_fraction = seismic_width / w
    seismic_height_fraction = seismic_height_raw / h

    # Publish some notices so user knows plot size.
    Notice.info("Width of plot   {} in".format(w))
    Notice.info("Height of plot  {} in".format(h))

    # Make the figure.
    fig = plt.figure(figsize=(w, h), facecolor='w')

    # Set the tickformat.
    tickfmt = mtick.FormatStrFormatter('%.0f')

    # Plot title.
    if cfg['filename']:
        title_ax = fig.add_axes([ssl, 1-mt/h, wsl/w, mt/h])
        title_ax = plotter.plot_title(title_ax, target, fs=1.5*fs, cfg=cfg)

    # Plot text header.
    start = (h - 1.5*mt - fhh) / h
    head_ax = fig.add_axes([ssl, start, wsl/w, fhh/h])
    head_ax = plotter.plot_header(head_ax, s.header, fs=fs-1, cfg=cfg)

    # Plot histogram.
    # Params for histogram plot.
    pady = 0.75 / h  # 0.75 inch
    padx = 0.75 / w   # 0.75 inch
    cstrip = 0.3/h   # color_strip height = 0.3 in
    charth = 1.5/h   # height of charts = 1.5 in
    chartw = wsl/w - mr/w - padx  # or ml/w for left-hand sidelabel; same thing
    chartx = (ssl + padx)
    histy = 1.5 * mb/h + charth + pady
    # Plot colourbar under histogram.
    clrbar_ax = fig.add_axes([chartx, histy - cstrip, chartw, cstrip])
    clrbar_ax = plotter.plot_colourbar(clrbar_ax, cmap=cfg['cmap'])
    # Plot histogram itself.
    hist_ax = fig.add_axes([chartx, histy, chartw, charth])
    hist_ax = plotter.plot_histogram(hist_ax,
                                     s.data,
                                     tickfmt,
                                     percentile=cfg['percentile'],
                                     fs=fs)

    # Plot spectrum.
    specy = 1.5 * mb/h
    spec_ax = fig.add_axes([chartx, specy, chartw, charth])

    try:
        spec_ax = s.plot_spectrum(ax=spec_ax,
                                  tickfmt=tickfmt,
                                  ntraces=20,
                                  fontsize=fs)
    except:
        pass

    for i, line in enumerate(ss):
        # Add the seismic axis.
        ax = fig.add_axes([seismic_left,
                           seismic_bottom + i*seismic_height_fraction + i*pady,
                           seismic_width_fraction,
                           seismic_height_fraction
                           ])

        # Plot seismic data.
        if cfg['display'].lower() in ['vd', 'varden', 'variable', 'both']:
            _ = ax.imshow(line.data.T,
                          cmap=cfg['cmap'],
                          clim=[-clip_val, clip_val],
                          extent=[0, 
                                  line.ntraces,
                                  1000*line.tbasis[-1],
                                  line.tbasis[0]],
                          aspect='auto'
                          )

            # This does not work: should cut off line at cfg['tmax']
            # ax.set_ylim(1000*cfg['tmax'] or 1000*line.tbasis[-1], line.tbasis[0])

        if cfg['display'].lower() in ['wiggle', 'both']:
            ax = line.wiggle_plot(cfg['number'], direction,
                               ax=ax,
                               skip=cfg['skip'],
                               gain=cfg['gain'],
                               rgb=cfg['colour'],
                               alpha=cfg['opacity'],
                               lw=cfg['lineweight'],
                               tmax=cfg['tmax'],
                               )

        if cfg['display'].lower() not in ['vd', 'varden', 'variable', 'wiggle', 'both']:
            Notice.fail("You must specify the type of display: wiggle, vd, both.")
            return

        # Seismic axis annotations.
        fs = cfg['fontsize'] - 2
        ax.set_xlim([0, line.data.shape[0]])
        ax.set_ylabel(line.ylabel, fontsize=fs)
        ax.set_xlabel(line.xlabel, fontsize=fs, horizontalalignment='center')
        ax.set_xticklabels(ax.get_xticks(), fontsize=fs)
        ax.set_yticklabels(ax.get_yticks(), fontsize=fs)
        ax.xaxis.set_major_formatter(tickfmt)
        ax.yaxis.set_major_formatter(tickfmt)


        # Watermark.
        if cfg['watermark_text']:
            ax = plotter.watermark_seismic(ax, cfg)

        # Make parasitic axes for labeling CDP number.
        par1 = ax.twiny()
        par1.spines["top"].set_position(("axes", 1.0))
        par1.plot(s.xlines, np.zeros_like(s.xlines))
        par1.set_xlabel(line.xlabel, fontsize=fs)
        par1.set_xticklabels(par1.get_xticks(), fontsize=fs)
        par1.xaxis.set_major_formatter(tickfmt)

    t2 = time.time()
    Notice.ok("Built plot in {:.1f} s".format(t2-t1))

    #####################################################################
    #
    # SAVE FILE
    #
    #####################################################################
    Notice.hr_header("Saving")

    dname, fname, ext = utils.path_bits(target)
    outfile = cfg['outfile'] or ''
    if not os.path.splitext(outfile)[1]:
        outfile = os.path.join(cfg['outfile'] or dname, fname + '.png')

    fig.savefig(outfile)

    t3 = time.time()
    Notice.ok("Saved image file {} in {:.1f} s".format(outfile, t3-t2))

    if cfg['stain_paper'] or cfg['coffee_rings'] or cfg['distort'] or cfg['scribble']:
        fname = os.path.splitext(outfile)[0] + ".stupid.png"
        fig.savefig(fname)
    else:
        return

    #####################################################################
    #
    # SAVE STUPID FILE
    #
    #####################################################################
    Notice.hr_header("Applying the stupidity")

    stupid_image = Image.open(fname)
    if cfg['stain_paper']: utils.stain_paper(stupid_image)
    utils.add_rings(stupid_image, cfg['coffee_rings'])
    if cfg['scribble']: utils.add_scribble(stupid_image)
    stupid_image.save(fname)

    t4 = time.time()
    Notice.ok("Saved stupid file {} in {:.1f} s".format(fname, t4-t3))

    return