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Proffilo

https://travis-ci.com/amoodie/proffilo.svg?token=JkLAyPZnuAPbRb3qbzHn&branch=master

Proffilo is a Python package for manipulating sedimentologic survey data. In particular, Proffilo has objects designed to help organize, visualize, and analyze vertical profiles of sediment concentration and velocity in a river flow.

Full documentation here.

Status

Proffilo is currently in development, with a constantly changing API. We make no guarantee of stability, correctness, or functionality.

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proffilo's Issues

Remove legend entry if no Distributions plotted at a certain elevation.

A legend entry is generated for samples that do not have distributions.

For example:

df_dist = pd.DataFrame([[0.0003, 0.12, pf.distribution.NormalDistribution(mean=200, sigma=50)],
                        [0.0004, 0.12, pf.distribution.NormalDistribution(mean=340, sigma=50)], 
                        [0.0002, 0.7, pf.distribution.NormalDistribution(mean=340, sigma=20)], 
                        [0.00012, 1.1, pf.distribution.NormalDistribution(mean=90, sigma=30)], 
                        [0.00004, 2.3, pf.distribution.NormalDistribution(mean=310, sigma=50)]],
                  index=['ID1', 'ID2', 'ID3', 'ID4', 'ID5'],
                columns=['conc', 'elevation', 'distribution'])
stn.conc_obs = pf.observation.SedimentConcentrationObservations(data=df_dist, connection=connection)
stn.conc_obs._data.at['ID5', 'distribution'] = np.nan
stn.conc_obs2.show_distributions(cumulative=True, savestr='temp/dists_cum.png', log_x=True)

returns:
dists_cum2

The show_distributions method should remove the legend entry for elevations that do not have sediment samples. This can probably just augment the _unique_proxies() submethod of the function.

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