Tool to convert Seabird cnv textfiles
Project description
Python toolbox to read and process Seabird cnv files.
These text files are the standard output files of the Seabird CTD software.
The main purpose for pycnv is to create a standardised interface for slightly differing naming conventions of sensors in the cnv files and the usage of the Gibb Sea Water Toolbox (gsw) for the calculation of all derived parameters as practical salinity, absolute salinity, potential and conservative temperature or density. For this purpose pycnv does only need pressure, conductivity and temperature, all other properties will be derived from these. Furthermore pycnv will take care for a different absolute salinity computation in the Baltic Sea, by automatically checking of a cast was made in the Baltic Sea and choosing the correct function.
Install
The package was developed using python 3.5+, it might work with earlier versions, but its not supported. The newest Gibb Sea Water Toolbox (gsw) depends also on python 3.5+, pycnv heavily depends on the gsw toolbox. It therefore strongly recommended to use python 3.5+.
User
Install as a user
python setup.py install --user
Uninstall as a user
pip uninstall pycnv
Developer
Install as a developer
python setup.py develop --user
Uninstall as a user
pip uninstall pycnv
FEATURES
The data can be accessed by the original names defined in the cnv file in the named array called data. E.g. header name “# name 11 = oxsatML/L: Oxygen Saturation, Weiss [ml/l]” can be accessed like this: data[‘oxsatML/L’].
Standard parameters (Temperature, Conductivity, pressure, oxygen) are mapped to standard names. E.g. data[‘T0’] for the first temperature sensor and data[‘C1’] for the second conductivity sensor.
If the standard parameters (C0,T0,p), (C1,T1,p) are available the Gibbs Sea water toolbox is used to calculate absolute salinity, SA, conservative temperature, CT, and potential temperature pt. The data is stored in a second field called computed data: cdata. E.g. cdata[‘SA00’].
The module checks if the cast was made in the Baltic Sea, if so, the modified Gibbs sea water functions are automatically used.
The package provides scripts to search a given folder for cnv files and can create a summary of the folder in a csv format easily readable by python or office programs. The search can be refined by a location or a predefined station.
Possibility to provide an own function for parsing custom header information.
Plotting of the profile using matplotlib
USAGE
The package installs the executables:
pycnv
pycnv_sum_folder
EXAMPLES
Plot the in Situ temperature and the conservative temperature of a CTD cast:
import pycnv
import pylab as pl
fname='test.cnv' # A sebaird cnv file
p = pycnv.pycnv(fname)
pl.figure(1)
pl.clf()
pl.subplot(1,2,1)
pl.plot(p.data['T'],p.data['p'])
pl.xlabel(p.units['T'])
pl.gca().invert_yaxis()
pl.subplot(1,2,2)
pl.plot(p.cdata['CT'],p.data['p'])
pl.xlabel(p)
pl.gca().invert_yaxis()
Lists all predefined stations (in terminal):
pycnv_sum_folder --list_stations
Makes a summary of the folder called cnv_data of all casts around station TF0271 with a radius of 5000 m, prints it to the terminal and saves it into the file TF271.txt (in terminal):
pycnv_sum_folder --data_folder cnv_data --station TF0271 5000 -p -f TF271.txt
Show and plot conservative temperature, salinity and potential density of a cnv file into a pdf:
pycnv --plot show,save,CT00,SA00,pot_rho00 ctd_cast.cnv
Interpolate all CTD casts on station TF0271 onto the same pressure axis and make a netCDF out of it:
see code pycnv/test/make_netcdf.py
Devices tested
SEACAT V4.0g
SBE 11plus V 5.1e
SBE 11plus V 5.1g
Sea-Bird SBE 9 Software Version 4.206
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for pycnv-0.3.9-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7815beacbba7cdce9a2a5d0bd00558b56538003f189dd526ee931dd06b65bfbb |
|
MD5 | 1b2931fdda7a695c0628e909c679bba5 |
|
BLAKE2b-256 | 1ea616bbf5c5092977718e5d272449aea7e7b27771df802edc8e2142d88051f4 |