Tools to load hydrographic data into pandas DataFrame
Project description
python-ctd
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
You can install the CTD package with
conda install ctd --channel conda-forge
or
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()
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)')
