zphot_zspec

eazy.utils.zphot_zspec(zphot, zspec, zlimits=None, zmin=0, zmax=4, axes=None, figsize=[6, 7], minor=0.5, skip=2, selection=None, catastrophic_limit=0.15, title=None, min_zphot=0.02, alpha=0.2, extra_xlabel='', extra_ylabel='', xlabel='$z_\\mathrm{spec}$', ylabel='$z_\\mathrm{phot}$', label_pos=(0.05, 0.95), label_kwargs={'fontsize': 10, 'ha': 'left', 'va': 'top'}, label_prefix='', format_axes=True, color='k', point_label=None, **kwargs)

Make zphot_zspec plot scaled by log(1+z) and show uncertainties

Parameters:

zphotarray-like

Redshift on dependent axis

zspecarray-like

Redshift on independent axis

zlimits(N, 2) array

Redshifts to use for photo-z errorbars, e.g. from pz_percentiles, where N is the number of objects as in zphot and zspec

zmin, zmaxfloat

Plot limits

axesmatplotlib axes, None

If specified, overplot in existing axes rather than generating a new plot. For example, run the function once to generate the figure and then plot different points onto the existing axes:

>>> fig = eazy.utils.zphot_spec(zphot, zspec, selection=sample1)
>>> _ = eazy.utils.zphot_spec(zphot, zspec, selection=sample2, 
>>>                           axes=fig.axes, color='b')

figsizelist

Figure canvas dimensions

minorfloat

Axis tick interval

skipint

Put axis labels every skip ticks

selectionarray-like

Subsample selection (boolean or indices) applied as zphot[selection]

catastrophic_limitfloat

Limit to define “catastrophic” failures, which is used for computing precision / outlier statistics printed on the plot

titlestr

Title to add to the plot axes

Returns:

figmatplotlib.figure.Figure

Figure object