lum_function

Attributes

`apply_extinction`(df[, R_V])
`read_GSM_df`(filename)
`read_BES_df`(filename)
`prep_plot_label`(label)
`plot_dist2`(dict_list[, xscale, yscale, bins, dndbin, ...])	our model data frame and corresponding key
`plot_dist`(gsm_df, bes_df, gsm_key, bes_key[, xscale, ...])	our model data frame and corresponding key
`plotmass`(gsm_df, bes_df)
`plotH`(gsm_df, bes_df)
`plotJ`(gsm_df, bes_df)
`plotCMD`(gsm_df, bes_df)
`plotAV`(gsm_df, bes_df)
`plotUU`(gsm_df, bes_df)
`plotVV`(gsm_df, bes_df)
`plotWW`(gsm_df, bes_df)
`plotdist`(gsm_df, bes_df)
`plotX`(gsm_df, bes_df)
`plotY`(gsm_df, bes_df)
`plotZ`(gsm_df, bes_df)
`plotZ087`(gsm_df, bes_df)
`plotW146`(gsm_df, bes_df)
`plot_bes_mags`(bes_df)
`plot_gsm_mags`(bes_df)
`gsm_filter_pop`(gsm_df[, pop_id])
`bes_filter_pop`(bes_df[, pop_id])
`bes_filter_mass`(bes_df[, mass_lim])
`filter_dist`(df[, r, key])
`dplot`(gsm_df, bes_df)

lum_function.plot_dist2(dict_list, xscale='linear', yscale='log', bins=None, dndbin=0, norm=1, plotfile=None, weight=1.523085e-07 / 0.000304617): our model data frame and corresponding key gsm_df, gsm_key besancon dataframe and key bes_df, bes_key bins are None

lum_function.plot_dist(gsm_df, bes_df, gsm_key, bes_key, xscale='linear', yscale='log', bins=None, dndbin=0, norm=1): our model data frame and corresponding key gsm_df, gsm_key besancon dataframe and key bes_df, bes_key bins are None