Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|
Tools to load hydrographic data into pandas DataFrame (and some rudimentary methods for data pre-processing/analysis).
This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats.
pip install ctd
and then,
from ctd import DataFrame
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]')
Check out the IPython Notebook.
Filipe Fernandes