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Python interface for ERDDAP

Project description

python-ctd

DOI Build Status PyPI Build status License

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

conda install ctd --channel conda-forge
pip install ctd

and then,

from pathlib import Path
import ctd

path = Path('tests', 'data', 'CTD')
fname = path.joinpath('g01l06s01.cnv.gz')

down, up = ctd.from_cnv(fname).split()
ax = down['t090C'].plot_cast()

Bad Processing

We can do better:

temperature = down['t090C']

fig, ax = plt.subplots(figsize=(5.5, 6))
temperature.plot_cast(ax=ax)
temperature.remove_above_water()\
           .despike()\
           .lp_filter()\
           .press_check()\
           .interpolate(method='index',
                        limit_direction='both',
                        limit_area='inside')\
           .bindata(delta=1, method='interpolate')\
           .smooth(window_len=21, window='hanning') \
           .plot_cast(ax=ax)
ax.set_ylabel('Pressure (dbar)')
ax.set_xlabel('Temperature (°C)')

Good Processing

Project details


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