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.
You can install the CTD package with
conda install ctd --channel conda-forge
or
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)")
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