ctdcal 0.1.5b1.dev0

CTD and bottle data processing package from UCSD ODF

ctdcal project

The ctdcal project is a library primarily designed to process data from CTD casts and calibrate them against Niskin bottle samples. This project is currently a work in progress and not yet in public production.

A final public release is planned for 2025.

To contribute or try using ctdcal for yourself, feel free to install it and reach a member of the SIO-ODF group!

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Installation

ctdcal can be installed using pip:

$ pip install ctdcal

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CLI usage

Initialize data folders

Initialize default /data/ folders by running:

$ ctdcal init

(Future versions of ctdcal are planned have more robust init options/flags/etc.)

Import and process data

To process data, copy over raw .hex and .xmlcon files into /data/raw/ and reference data to their appropriate folder (oxygen, reft, salt).

Users can process their data with individual ctdcal functions or try:

$ ctdcal process [--group ODF]

to process using ODF procedures.

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Package usage

Explore user settings

Most ctdcal functions get settings from user_settings.yaml and subsequently config.py. Call the configuration loader to explore default settings:

from ctdcal import get_ctdcal_config
cfg = get_ctdcal_config()

# directories for I/O purposes
print(cfg.dirs)
print(cfg.fig_dirs)

# experiment-specific settings (e.g., expocode, CTD serial number) from user_settings.yaml
print(cfg.settings)

# dictionary mapping of short/long column names
print(cfg.columns)

As ctdcal continues to be developed, more robust tutorials will be added to our documentation.

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LICENSING

BSD 3-clause