Пример #1
0
def scatter_plot(extractedsources, size=5):
    """Plot positions of all counterparts for all (unique) sources for
    the given dataset.

    The positions of all (unique) sources in the running catalog are
    at the centre, whereas the positions of all their associated
    sources are scattered around the central point.  Axes are in
    arcsec relative to the running catalog position.
    """
    figure = pyplot.figure(figsize=(size, size))

    # no list comprehension here since we use raw query
    ra_dist_arcsec = []
    decl_dist_arcsec = []
    ra_err = []
    decl_err = []
    for source in extractedsources:
        ra_dist_arcsec.append(source.ra_dist_arcsec)
        decl_dist_arcsec.append(source.decl_dist_arcsec)
        ra_err.append(deg_to_asec(source.ra_err) / 2)
        decl_err.append(deg_to_asec(source.decl_err) / 2)

    axes = figure.add_subplot(1, 1, 1)
    axes.errorbar(ra_dist_arcsec,
                  decl_dist_arcsec,
                  xerr=ra_err,
                  yerr=decl_err,
                  fmt='+',
                  color='b',
                  label="xtr")
    axes.set_xlabel(r'RA (arcsec)')
    axes.set_ylabel(r'DEC (arcsec)')
    if len(ra_dist_arcsec):
        lim = 1 + max(
            int(
                numpy.trunc(
                    max(abs(min(ra_dist_arcsec)), abs(max(ra_dist_arcsec))))),
            int(
                numpy.trunc(
                    max(abs(min(decl_dist_arcsec)), abs(
                        max(decl_dist_arcsec))))))
    else:
        lim = 1
    axes.set_xlim(xmin=-lim, xmax=lim)
    axes.set_ylim(ymin=-lim, ymax=lim)
    axes.grid(False)
    # Shifts plot spacing to ensure that axes labels are displayed
    figure.tight_layout()
    return figure.canvas
Пример #2
0
def scatter_plot(extractedsources, size=5):
    """Plot positions of all counterparts for all (unique) sources for
    the given dataset.

    The positions of all (unique) sources in the running catalog are
    at the centre, whereas the positions of all their associated
    sources are scattered around the central point.  Axes are in
    arcsec relative to the running catalog position.
    """
    figure = pyplot.figure(figsize=(size, size))

    # no list comprehension here since we use raw query
    ra_dist_arcsec= []
    decl_dist_arcsec = []
    ra_err = []
    decl_err = []
    for source in extractedsources:
        ra_dist_arcsec.append(source.ra_dist_arcsec)
        decl_dist_arcsec.append(source.decl_dist_arcsec)
        ra_err.append(deg_to_asec(source.ra_err) / 2)
        decl_err.append(deg_to_asec(source.decl_err) / 2)

    axes = figure.add_subplot(1, 1, 1)
    axes.errorbar(ra_dist_arcsec, decl_dist_arcsec, xerr=ra_err, yerr=decl_err,
                  fmt='+', color='b', label="xtr")
    axes.set_xlabel(r'RA (arcsec)')
    axes.set_ylabel(r'DEC (arcsec)')
    if len(ra_dist_arcsec):
        lim = 1 + max(int(numpy.trunc(max(abs(min(ra_dist_arcsec)),
                                          abs(max(ra_dist_arcsec))))),
                      int(numpy.trunc(max(abs(min(decl_dist_arcsec)),
                                          abs(max(decl_dist_arcsec))))))
    else:
        lim = 1
    axes.set_xlim(xmin=-lim, xmax=lim)
    axes.set_ylim(ymin=-lim, ymax=lim)
    axes.grid(False)
    # Shifts plot spacing to ensure that axes labels are displayed
    figure.tight_layout()
    return figure.canvas
Пример #3
0
def deg2asec(deg):
    return deg_to_asec(deg)
Пример #4
0
def deg2asec(deg):
    return deg_to_asec(deg)