List of already existing python and argo libraries / snippets

[gmaze]

Please list url of the libraries you know, its focus/scope and main features.

We don't want to reinvent or redesigned things.

[gmaze]

https://github.com/gmaze/pyargo

Focus on profile history variables

Allows to easily read the history of measurements

[gmaze]

https://github.com/euroargodev/argopy-osnet

Focus on rapidly loading in-memory measurements from a local copy of the GDAC ftp.

Allows to retrieve in-memory a list of numpy arrays with curated pressure, temperature and salinity measurements

Allows to retrieve a flat collection of measurements or a collection of profiles interpolated on standard depth levels

[gmaze]

https://github.com/pvthinker/argopy

Focus on computing climatological statistics from a local copy of the GDAC ftp

[gmaze]

https://github.com/jbusecke/xargofloat

Tools to work with argo float data in xarray

Provide a prototype for an interpolation function for argo floats

⚠️ This package is deprecated in favor of argopy. Please see documentation on interpolating argo floats

[gmaze]

https://github.com/castelao/CoTeDe

Focus on data QC

Provide a python implementation of real-time Argo QC tests
(see doc for more)[https://cotede.readthedocs.io/en/latest/qctests.html#argo-incomplete]

[gmaze]

https://github.com/IQuOD/AutoQC

Focus on data QC

(list of QC tests)[https://github.com/IQuOD/AutoQC/tree/0e66ce33de7b584c8616bd6a782b8a19814af87c/tests]

[gmaze]

https://github.com/quai20/DataViz

Provide notebooks to remind all kind of data analytics or visualisation stuff for Argo index files

[gmaze]

https://github.com/biofloat/biofloat

This one has not been updated since several years ...

[philippemiron]

Deep and surface trajectories of Argo floats, there are different databases but something like YoMaHa would be great!

http://apdrc.soest.hawaii.edu/projects/yomaha/

[tylertucker202]

Convert Argo profiles into python documents, and store them on a MongoDB database. This is how Argovis stores its profiles.

https://github.com/tylertucker202/argo-database

[adamml]

A suggestion - once there are a few more resources here, why not make this into an Awesome List.

We've done one for Erddap resources, so would be happy to help with set up etc.

[quai20]

A suggestion - once there are a few more resources here, why not make this into an Awesome List.

We've done one for Erddap resources, so would be happy to help with set up etc.

Didn't know about Awesome List, thank you this will be useful to me. You can add Ifremer erddap deployment in the Erddap resources.

[gmaze]

Deep and surface trajectories of Argo floats, there are different databases but something like YoMaHa would be great!

http://apdrc.soest.hawaii.edu/projects/yomaha/

Hi @philippemiron , thanks for the suggestion, ANDRO is a must have along YoMaHa.
Digging into trajectory data would be great in argopy, we have some demands about that, but still a lot to do before moving on to this (consolidating access to T/S/P and then to BGC profile variables),
if you want to help in any ways that would get you there much faster !

[philippemiron]

Deep and surface trajectories of Argo floats, there are different databases but something like YoMaHa would be great!
http://apdrc.soest.hawaii.edu/projects/yomaha/

Hi @philippemiron , thanks for the suggestion, ANDRO is a must have along YoMaHa.
Digging into trajectory data would be great in argopy, we have some demands about that, but still a lot to do before moving on to this (consolidating access to T/S/P and then to BGC profile variables),
if you want to help in any ways that would get you there much faster !

I'm interested, I will take a look this week how to include trajectory data sets in argopy.

[gmaze]

Convert Argo profiles into python documents, and store them on a MongoDB database. This is how Argovis stores its profiles.

https://github.com/tylertucker202/argo-database

Hi @tylertucker202 !
Do you suggest that argopy could have a local data store based on MongoDB ?
This would mean that users getting a sync of the GDAC ftp would need to furthermore manage a local database server ?

[tylertucker202]

Convert Argo profiles into python documents, and store them on a MongoDB database. This is how Argovis stores its profiles.
https://github.com/tylertucker202/argo-database

Hi @tylertucker202 !
Do you suggest that argopy could have a local data store based on MongoDB ?
This would mean that users getting a sync of the GDAC ftp would need to furthermore manage a local database server ?

The Issue asked that we list existing python and argo libraries, I'm only providing what is requested and nothing more. If a few brave souls are interested, there are instructions on how to build a dockerized instance of Argovis here

[jbusecke]

https://github.com/jbusecke/xargofloat

It seems like the functionality of xargofloat is already available in [def linear_interpolation_remap]. Id be happy to retire xargofloat and point to this repo. Is there a tutorial for interpolation of xarray data, that I could link to?

[gmaze]

Hi @jbusecke
Yes, our interpolator implemented by @quai20 is directly adapted from your use of xarrayutils in xargofloat.
The doc for its usage in argopy is here: https://argopy.readthedocs.io/en/latest/data_manipulation.html#Interpolation-to-standard-levels
The ds.argo.interp_std_levels covers what xargofloat does and if it doesn't the linear_interpolation_remap is accessible in argopy.utilities to users
so it's up to you decide if you want to retire xargofloat, if you do, we would be please to have you onboard argopy !

[jbusecke]

I just added a note in the readme. The functionality was defunct anyways. If I work on argo in the future Ill head over here. Thanks for the effort.

Could you maybe edit the post above with a note that the package is defunct/functionality available here?

[gmaze]

bgcArgoDMQC

I just came across: https://github.com/ArgoCanada/bgcArgoDMQC from @cgrdn and @synapticarbors

The general description is:
A python library of functions for quality controlling dissolved oxygen data. Heavily based on the SOCCOM BGC Argo QC methods program in matlab, uses either NCEP or World Ocean Atlas data to calculate oxygen gains (Johnson et al. 2015).

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