Пример #1
0
    def render(self, context):
        qs = context[self.var_name]
        tmp = StringIO.StringIO()

        P = [c.p_bary for c in qs.all() if c.p_bary > 0]

        cv = SVGCanvas(940, 550, background_color='white')
        if P:
            binned = bin_data_log(P, 200)
            pc = PlotContainer(0, -20, 950, 550, color='black', x_log=True)
            pc.bottom.set_label('Period (ms)')
            pc.top.hide_label()
            pc.left.set_label('Count')
            pc.right.hide_label()
            hp = HistogramPlotter(binned, color='black')
            pc.add_plotter(hp)
            cv.add_plot_container(pc)
            # write number of candidates shown:
            tf = TextFragment(50,
                              520,
                              '(Showing %d candidates.)' % len(P),
                              color='black',
                              font_size=15)
            cv.add_plot_container(tf)
        else:
            tf = TextFragment(200,
                              200,
                              'No Candidates found.',
                              color='red',
                              font_size=50)
            cv.add_plot_container(tf)

        tmp = StringIO.StringIO()
        cv.draw(tmp)
        return tmp.getvalue()
Пример #2
0
    def render(self, context):
        qs = context[self.var_name]
        tmp = StringIO.StringIO()

        P = [c.p_bary for c in qs.all() if c.p_bary > 0]

        cv = SVGCanvas(940, 550, background_color='white')
        if P:
            binned = bin_data_log(P, 200)
            pc = PlotContainer(0, -20, 950, 550, color='black', x_log=True)
            pc.bottom.set_label('Period (ms)')
            pc.top.hide_label()
            pc.left.set_label('Count')
            pc.right.hide_label()
            hp = HistogramPlotter(binned, color='black')
            pc.add_plotter(hp)
            cv.add_plot_container(pc)
            # write number of candidates shown:
            tf = TextFragment(50, 520, '(Showing %d candidates.)' %
                              len(P), color='black', font_size=15)
            cv.add_plot_container(tf)
        else:
            tf = TextFragment(200, 200, 'No Candidates found.', color='red',
                              font_size=50)
            cv.add_plot_container(tf)

        tmp = StringIO.StringIO()
        cv.draw(tmp)
        return tmp.getvalue()
Пример #3
0
def plot(filename, spr, options, pulse_trains, pt_idx, rejected_pulses,
         nlink, plink, marker_dms):
    '''
    Create a pulsetrain diagnostic plot.

    Note: Call this function to create the plot, not others in this module.
    '''
    # Find DM range for this plot:
    lodm, hidm = find_dm_range(spr.dms, pulse_trains[pt_idx])

    # Flatten pulses into list of candidates (foreground, background):
    foreground = flatten_pulses(pulse_trains[pt_idx], lodm, hidm)

    background = flatten_pulses(rejected_pulses, lodm, hidm)
    for i in range(len(pulse_trains)):
        if i != pt_idx:
            background.extend(flatten_pulses(pulse_trains[i], lodm, hidm))

    # Determine whether it is wise to switch to rasterized plotting (called
    # fallback).
    n_candidates = len(foreground) + len(background)
    if n_candidates > MAX_N_CANDIDATES:
        fallback = True
    else:
        fallback = False

    # Set up the overall canvas to wich all panels are plot:
    cv = SVGCanvas(1250, 750)
    # Add the three panels to the plot:
    plot_main_panel(cv, foreground, background, lodm, hidm, marker_dms,
                    fallback)
    plot_snr_scatter(cv, foreground, background, lodm, hidm, marker_dms,
                     fallback)
    plot_count_histogram(cv, spr.dms, foreground, background, lodm, hidm,
                         marker_dms)
    # Add the text identifying the data set etc. to the diagnostic plot:
    add_text(cv, spr.md_map[spr.dms[0]], nlink, plink, n_candidates, fallback)
    add_settings_text(cv, options)
    add_trigger_text(cv, pulse_trains, pt_idx)

    # Finally write everything out to an SVG (xml) file.
    with open(filename, 'w') as f:
        cv.draw(f)
Пример #4
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    p = get_commandline_parser()
    options, args = p.parse_args()

    if len(args) == 0:
        p.print_usage()
        p.print_help()

    # Some custom checks:
    delays_file = check_delays_option(options, args, p)
    check_type_option(options, args, p)
    output_files = check_directories(options, args, p)

    for plot_i, searchoutdir, fn in output_files:
        print plot_i, searchoutdir, fn
        # Do some setting up and calculations:
        cv = SVGCanvas(1250, 760)
        try:
            print 'Scanning for .singlepulse and .inf files ...'
            spr = SinglePulseReaderCondensed(searchoutdir, options.s, options.e,
                                        delays_file, options.lo, options.hi)
            print '... done'
        except:
            raise
            datapath = os.path.abspath(searchoutdir)
            msg = 'Problem with data in %s, nothing present?' % datapath
            cv.add_plot_container(TextFragment(100, 100, msg, font_size=15))
        else:
            print 'Number of DM-trials: %d' % len(spr.dms)
            tf = TextFragment(870, 600, spr.sp_map[spr.dms[0]][:-12])
            cv.add_plot_container(tf)
            min_dmi, max_dmi = get_dmi_range(spr, options.dmspercell)
Пример #5
0
from brp.svg.plotters.symbol import RADECSymbol
from brp.svg.plotters.symbol import RasterDebugSymbol
from brp.svg.plotters.line import LinePlotter
from brp.svg.plotters.scatter import ScatterPlotter
from brp.svg.plotters.gradient import RGBGradient, GradientPlotter
from brp.svg.plotters.crosshair import CrossHairPlotter
from brp.svg.plotters.limit import XLimitPlotter, YLimitPlotter
from brp.svg.plotters.legend import LegendPlotter, UNDER_PLOT, BOTTOMLEFT
from brp.core.interval import stretch_interval
from brp.svg.plotters.histogram import HistogramPlotter, bin_data
from brp.svg.plotters.error import ErrorPlotter
from brp.svg.plotters.linkbox import LinkBox

if __name__ == '__main__':
    # Draw a simple scatter + line plot to SVG (dumped to standard out).
    cv = SVGCanvas(1000, 2500)
    c = PlotContainer(100,
                      100,
                      600,
                      400,
                      background_color="white",
                      x_log=True,
                      y_log=True)
    TMP = [10 * x + 10 for x in range(99)]
    TMP2 = [10 * x + 10 for x in range(99)]
    TMP2.reverse()

    gr = RGBGradient((200, 800), (1, 0, 0), (0, 0, 1))
    c.add_plotter(
        LinePlotter(TMP,
                    TMP,
Пример #6
0
    def render(self, context):
        qs = context[self.var_name]

        P = [c.p_bary for c in qs.all() if c.best_dm > 0]
        DM = [c.best_dm for c in qs.all() if c.best_dm > 0]
        REDCHISQ = [c.reduced_chi_sq for c in qs.all() if c.best_dm > 0]
        LINKS = [reverse('bestprof_detail', args=[c.pk])
                 for c in qs.all() if c.best_dm > 0]
        RA = [c.ra_deg for c in qs.all() if c.best_dm > 0]
        DEC = [c.dec_deg for c in qs.all() if c.best_dm > 0]

        cv = SVGCanvas(940, 550, background_color='white')
        if P:
            lo_dm = min(DM)
            max_dm = max(DM)
            pc = PlotContainer(0, -20, 880, 550, color='black', x_log=True,
                               y_log=True, data_background_color='gray')
            gr = RGBGradient((lo_dm, max_dm), (0, 0, 1), (1, 0, 0))
            scp = ScatterPlotter(P, REDCHISQ, RA, DEC, DM, gradient=gr,
                                 gradient_i=4, links=LINKS,
                                 symbol=RADECSymbol)
            pc.add_plotter(scp)
#            pc.top.hide_tickmarklabels()
            pc.top.hide_label()
#            pc.right.hide_tickmarklabels()
            pc.right.hide_label()
            pc.left.set_label('Reduced Chi Square')
            pc.bottom.set_label('Period (ms)')
            cv.add_plot_container(pc)
            # Gradient:
            pc = PlotContainer(820, -20, 120, 550, color='black', data_padding=0)
            pc.top.hide_label()
            pc.top.hide_tickmarks()
            pc.left.hide_tickmarks()
            pc.bottom.hide_label()
            pc.bottom.hide_tickmarks()
            pc.left.hide_label()
            pc.right.set_label('Dispersion Measure cm^-3 pc')
            pc.add_plotter(GradientPlotter(gr))
            cv.add_plot_container(pc)
            # write number of candidates shown:
            tf = TextFragment(50, 520,
                              '(Showing %d candidates.)' % len(P),
                              color='black', font_size=15)
            cv.add_plot_container(tf)
        else:
            tf = TextFragment(200, 200, 'No Candidates found.', color='red',
                              font_size=50)
            cv.add_plot_container(tf)

        tmp = StringIO.StringIO()
        cv.draw(tmp)
        return tmp.getvalue()
Пример #7
0
from brp.svg.plotters.symbol import RADECSymbol
from brp.svg.plotters.symbol import RasterDebugSymbol
from brp.svg.plotters.line import LinePlotter
from brp.svg.plotters.scatter import ScatterPlotter
from brp.svg.plotters.gradient import RGBGradient, GradientPlotter
from brp.svg.plotters.crosshair import CrossHairPlotter
from brp.svg.plotters.limit import XLimitPlotter, YLimitPlotter
from brp.svg.plotters.legend import LegendPlotter, UNDER_PLOT, BOTTOMLEFT
from brp.core.interval import stretch_interval
from brp.svg.plotters.histogram import HistogramPlotter, bin_data
from brp.svg.plotters.error import ErrorPlotter
from brp.svg.plotters.linkbox import LinkBox

if __name__ == "__main__":
    # Draw a simple scatter + line plot to SVG (dumped to standard out).
    cv = SVGCanvas(1000, 2500)
    c = PlotContainer(100, 100, 600, 400, background_color="white", x_log=True, y_log=True)
    TMP = [10 * x + 10 for x in range(99)]
    TMP2 = [10 * x + 10 for x in range(99)]
    TMP2.reverse()

    gr = RGBGradient((200, 800), (1, 0, 0), (0, 0, 1))
    c.add_plotter(LinePlotter(TMP, TMP, gradient=gr, gradient_i=1, symbol=BaseSymbol, linepattern="2 2 8 2"))
    c.add_plotter(ScatterPlotter(TMP, TMP2, symbol=BaseSymbol, gradient=gr, gradient_i=0))
    c.add_plotter(CrossHairPlotter(500, 500))
    c.add_plotter(CrossHairPlotter(200, 700, color="red"))
    c.add_plotter(XLimitPlotter(300))
    c.add_plotter(YLimitPlotter(300))
    c.add_plotter(CrossHairPlotter(1e6, 1e6))
    c.add_plotter(ScatterPlotter([1000], [1000], symbol=CrossHairSymbol, color="lime"))
    c.add_plotter(LinkBox((100, 100, 10000, 10000), "http://www.slashdot.org"))
Пример #8
0
'''
Some tests of the rasterized fallback mode.
'''
import sys
import random

from brp.svg.base import SVGCanvas
from brp.svg.base import PlotContainer
from brp.svg.plotters.scatter import ScatterPlotter
from brp.svg.plotters.error import ErrorPlotter
from brp.svg.plotters.symbol import RADECSymbol, SquareSymbol
from brp.svg.plotters.line import LinePlotter

if __name__ == '__main__':

    cv = SVGCanvas(1200, 1800)

# ------------------------------------------------------
# -- For debugging RADECSymbol raster fallback ---------

    NPULSARS = 100
    P = [random.uniform(0.001, 10) for i in range(NPULSARS)]
    DM = [random.uniform(1, 100) for i in range(NPULSARS)]
    RA = [random.uniform(0, 24) for i in range(NPULSARS)]
    DEC = [random.uniform(-90, 90) for i in range(NPULSARS)]
    SIGMA = [random.uniform(2, 15) for i in range(NPULSARS)]

    # plot
    pc = PlotContainer(0, 0, 600, 400)
    pc.add(ScatterPlotter(P, DM, RA, DEC, SIGMA, symbol=RADECSymbol))
    cv.add(pc)
Пример #9
0
    def render(self, context):

        qs = context[self.var_name]
        tmp = StringIO.StringIO()

        cv = SVGCanvas(940, 550, background_color='white')

        P = [c.p_bary for c in qs.all() if c.best_dm > 0]
        DM = [c.best_dm for c in qs.all() if c.best_dm > 0]
        REDCHISQ = [c.reduced_chi_sq for c in qs.all() if c.best_dm > 0]
        LINKS = [
            reverse('bestprof_detail', args=[c.pk]) for c in qs.all()
            if c.best_dm > 0
        ]
        RA = [c.ra_deg for c in qs.all() if c.best_dm > 0]
        DEC = [c.dec_deg for c in qs.all() if c.best_dm > 0]

        if P:
            max_redchisq = max(REDCHISQ)
            min_redchisq = min(REDCHISQ)
            # Main panel showing candidate period-DM scatter plot:
            pc = PlotContainer(0,
                               -20,
                               880,
                               550,
                               color='black',
                               x_log=True,
                               y_log=True,
                               data_background_color='gray')
            pc.bottom.set_label('Period (ms)')
            pc.top.hide_label()
            pc.left.set_label('Dispersion Measure (cm^-3 pc)')
            pc.right.hide_label()
            gr = RGBGradient((min_redchisq, max_redchisq), (0, 0, 1),
                             (1, 0, 0))
            scp = ScatterPlotter(P,
                                 DM,
                                 RA,
                                 DEC,
                                 REDCHISQ,
                                 gradient=gr,
                                 gradient_i=4,
                                 links=LINKS,
                                 symbol=RADECSymbol)
            pc.add_plotter(scp)
            cv.add_plot_container(pc)
            # Gradient:
            pc = PlotContainer(820,
                               -20,
                               120,
                               550,
                               color='black',
                               data_padding=0)
            pc.top.hide_label()
            pc.top.hide_tickmarks()
            pc.left.hide_tickmarks()
            pc.bottom.hide_label()
            pc.bottom.hide_tickmarks()
            pc.left.hide_label()
            pc.right.set_label('Candidate Reduced Chi-Square')
            pc.add_plotter(GradientPlotter(copy.deepcopy(scp.gradient)))
            cv.add_plot_container(pc)
            # write number of candidates shown:
            tf = TextFragment(50,
                              520,
                              '(Showing %d candidates.)' % len(P),
                              color='black',
                              font_size=15)
            cv.add_plot_container(tf)
        else:
            tf = TextFragment(200,
                              200,
                              'No Candidates found.',
                              color='red',
                              font_size=50)
            cv.add_plot_container(tf)

        cv.draw(tmp)
        return tmp.getvalue()
Пример #10
0
'''
from __future__ import division
import sys
from random import random as r

from brp.svg.base import SVGCanvas, PlotContainer
from brp.svg.plotters import newhist2d
from brp.svg.plotters.gradient import GradientPlotter
from brp.svg.plotters.line import LinePlotter

if __name__ == '__main__':

    x_data = [r() for i in range(1000)]
    y_data = [r() for i in range(1000)]

    cv = SVGCanvas(1200, 800)

    p = PlotContainer(0, 0, 600, 400)
    h = newhist2d.Histogram2dPlotter(x_data, y_data, x_bins=100)
    gr = h.get_gradient()
    collapsed_x, yvalues = h.collapse_x()
    xvalues, collapsed_y = h.collapse_y()
    p.add(h)
    cv.add(p)

    p = PlotContainer(800, 0, 160, 400)
    p.add(GradientPlotter(gr, 'vertical'))
    cv.add(p)

    p = PlotContainer(600, 0, 200, 400)
    p.add(LinePlotter(collapsed_x, yvalues))
Пример #11
0
            '%.2f ms' % bpf.header.p_bary[0], alignment='start', 
            font_size=TEXTSIZE))
        cv.add_plot_container(TextFragment(x + width, 
            y + height + 2 * TEXTSIZE, '%.3f pc cm^-3' % bpf.header.best_dm,
            alignment='end', font_size=TEXTSIZE))


    files = os.listdir(sys.argv[1])
    tmp = []
    for f in files:
        if f.endswith('.bestprof'):
            try:
                bpf = BestprofFile(os.path.join(sys.argv[1], f))
            except:
                print 'There was a problem reading %s' % os.path.join(sys.argv[1], f)
            else:
                tmp.append(bpf)
    tmp.sort(key=lambda x: x.header.reduced_chi_sq)
    tmp.reverse()

    cv = SVGCanvas(1140, 1240)
    N_HORIZONTAL = 5
    N_VERTICAL = 10
    for ix in range(N_HORIZONTAL):
        for iy in range(N_VERTICAL):
            try:
                plot_profile(cv, 220 * ix + 20, 140 * iy + 20, 200, 100, tmp[ix + N_HORIZONTAL * iy], psr_name='B0000+0000')
            except IndexError, e:
                pass
    cv.draw('test234.xml')
Пример #12
0
import sys
#sys.path.append('../')

from brp.svg.base import SVGCanvas, PlotContainer, TextFragment
from brp.svg.plotters.histogram import HistogramPlotter, merge_bins

if __name__ == '__main__':
    bins = [(0, 1, 10), (1, 2, 10), (2, 3, 11), (3, 4, 10), (4, 5, 10),
            (5, 6, 7)]

    cv = SVGCanvas(1200, 1200)

    # Histogram testing:
    c = PlotContainer(0, 0, 600, 400)
    c.add(HistogramPlotter(bins))
    cv.add(c)
    cv.add(TextFragment(100, 100, 'Unmerged bins', color='red'))

    merged = merge_bins(bins)

    c2 = PlotContainer(600, 0, 600, 400)
    c2.add(HistogramPlotter(merged))
    cv.add(c2)
    cv.add(TextFragment(700, 100, 'Merged bins', color='red'))

    cv.draw(sys.stdout)
Пример #13
0
    files = os.listdir(sys.argv[1])
    tmp = []
    for f in files:
        if f.endswith('.bestprof'):
            try:
                bpf = BestprofFile(os.path.join(sys.argv[1], f))
            except:
                print 'There was a problem reading %s' % os.path.join(
                    sys.argv[1], f)
            else:
                tmp.append(bpf)
    tmp.sort(key=lambda x: x.header.reduced_chi_sq)
    tmp.reverse()

    cv = SVGCanvas(1140, 1240)
    N_HORIZONTAL = 5
    N_VERTICAL = 10
    for ix in range(N_HORIZONTAL):
        for iy in range(N_VERTICAL):
            try:
                plot_profile(cv,
                             220 * ix + 20,
                             140 * iy + 20,
                             200,
                             100,
                             tmp[ix + N_HORIZONTAL * iy],
                             psr_name='B0000+0000')
            except IndexError, e:
                pass
    cv.draw('test234.xml')