Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing and analysis
This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats.
Quick intro
pip install ctdand then,
kw = dict(compression='gzip')
fname = './test/data/CTD/g01l06s01.cnv.gz'
cast = DataFrame.from_cnv(fname, **kw)
downcast, upcast = cast.split()
fig, ax = downcast['t090C'].plot()
We can do better:
from ctd import DataFrame, lp_filter, movingaverage
kw.update(below_water=True)
cast = DataFrame.from_cnv(fname, **kw)
downcast, upcast = cast.split()
temperature = downcast['t090C'].despike(n1=2, n2=20, block=100)
temperature.index = lp_filter(temperature.index.values)
temperature = temperature.bindata(delta=1)
temperature = temperature.interpolate()
temperature = temperature.smooth(window_len=21, window='hanning')
fig, ax = temperature.plot()
ax.axis([0, 30, 2000, 0])
ax.set_ylabel("Pressure [dbar]")
ax.set_xlabel(u'Temperature [\u00b0C]')
Not so quick intro
Changelog
Version 0.2.2
Support for different searbird cnv pressure spellings (‘prDM’ and ‘prdM’) thanks @j08lue.
Lazy import for optinal dependencies (gsw and scipy).
Several small bug fixes
Version 0.2.1
None is assigned to position data when it is not available.
Version 0.2.0
Fixed compatibility fir 0.13.
Version 0.1.0
First version derived from oceans package.
1 maintainer
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