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.
pip install ctdor
conda install ctdand then,
from ctd import DataFrame
fname = './tests/data/CTD/g01l06s01.cnv.gz'
cast = DataFrame.from_cnv(fname)
downcast, upcast = cast.split()
fig, ax = downcast['t090C'].plot()
We can do better:
from ctd import DataFrame, lp_filter, movingaverage
cast = DataFrame.from_cnv(fname, below_water=True)
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.set_ylabel('Pressure (dbar)')
ax.set_xlabel(u'Temperature (°C)');
Filipe Fernandes