The main analysis script, created the majority of my thesis plots Ch 4-5
Philosophy: name of plot is also name of the function
Classes
getDepth() |
limiting AB mag depth |
Functions
confusion_matrix_by_type(dat[, fn]) |
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delta_dec_vs_delta_ra(dat[, fn, xlim, ylim, …]) |
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delta_vs_grzmag(dat[, fn, delta, …]) |
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e1_e2(dat[, fn, nbins, recovered]) |
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e1_e2_separate_panels(dat[, fn, nbins, …]) |
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fix_for_delta_flux(dat[, fn, band]) |
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fracin_vs_numstddev_2dhist(dat[, fn, …]) |
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fraction_recovered(dat[, fn, …]) |
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fraction_recovered_vs_rhalf(dat[, fn]) |
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gauss_model(p, x) |
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grz_hist_by_type(dat[, fn, x_ivar, glim, …]) |
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grz_hist_elg_notelg(dat[, fn, glim, rlim, zlim]) |
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grz_hist_input_ext(dat[, fn, glim, rlim, zlim]) |
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grz_hist_input_ext_separate_panels(dat[, …]) |
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grz_hist_input_noise_ext(dat[, fn, glim, …]) |
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grz_hist_input_rec(dat[, fn, glim, rlim, zlim]) |
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hist_all_quantities_fracin_cut(dat[, fn, …]) |
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hist_true_rhalf_by_type(dat[, fn]) |
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hist_true_rhalf_input(dat[, fn, ylims]) |
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my_step(ax, bins, height[, lw, color, ls, label]) |
if plt.hist returns tuple (height,bins) then this reproces that plot. |
myhist(ax, data[, bins, color, normed, lw, …]) |
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mytext(ax, x, y, text[, ha, va, fontsize, …]) |
adds text in x,y units of fraction axis |
num_std_dev_gaussfit_e1_e2(dat[, fn, …]) |
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num_std_dev_gaussfit_flux(dat[, fn, …]) |
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num_std_dev_gaussfit_flux_separate_panels(dat) |
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num_std_dev_gaussfit_rhalf(dat[, fn, …]) |
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number_per_type_input_rec_meas(dat[, fn]) |
Horizontal Barplot |
rec_lost_contam_delta_by_type(dat[, fn, …]) |
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rec_lost_contam_gr_rz(dat[, fn]) |
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rec_lost_contam_grz(dat[, fn, x_ivar]) |
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redshifts_recovered(dat[, fn]) |
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residual_gaussfit_rhalf(dat[, fn, …]) |
created for typ PSF b/c there is no psfsize_grz_ivar, so cannot compute num_std_dev |
sum_of_noise_added(dat[, fn]) |
obiwan.qa.plots_randomsprops_fluxdiff.my_step(ax, bins, height, lw=2, color='b', ls='solid', label=None)[source]¶if plt.hist returns tuple (height,bins) then this reproces that plot.
e.g. bin centers and horizontal lines at the right place…
obiwan.qa.plots_randomsprops_fluxdiff.mytext(ax, x, y, text, ha='left', va='center', fontsize=20, rotation=0, color='k', dataCoords=False)[source]¶adds text in x,y units of fraction axis