Commit commit:0e2352a
Contents, since 1.2.0:
Functionalities
Extract a subzone, keeping projection properties: field.extract_subarray()
Update of geometry.plotgeometry()
Factorization of functions in domain_maker
Histograms of fields: field.hist() + epy_hist.py
Option epy_stats.py --only_maxdiff/--oxd
Horizontaly averaged profiles (FA, epy_profile.py)
Grid-to-grid resampling: field.resample() and .resample_on_regularll()
FA
Ability to read/write GRIB2-encoded fields in FA (using grib_api), with an arpifs4py.so from cy42_op1 onwards
netCDF
On-the-fly options in writing: writefield(adhoc_behaviour=...)
Flattening
EPYWEB
Mode filesystem
Numerous various fixes
usevortex
Points/profiles extraction to netCDF: usevortex.extractor()
Technical
Unit-tests
Preparation to future compatibility with Python3
Support for LFI on MF-Bull
Miscellaneous
Numerous various fixes
Field data accessors, made cleaner
Various other cleanings
Update of the documentation
Notebooks in Tutorial
Bienvenue dans le projet ADAMONT!
Merci de consulter la page Wiki pour plus d'informations.
Commit commit:e0dcee6
netCDF
Several improvements w.r.t. convention CF-1.6 and geometry.
(Almost full-) Compatibility with the forthcoming SURFEX v8.1 netCDF outputs.
EPYWEB
Integration of EPYWEB: a Vortex+Epygram HTML interface for plotting fields from MF operational suites and OLIVE experiments.
Other new features
Pre-staging mode in usevortex
Function fields.psikhi2uv()
Function util.datetimerange()
Computation of wind direction
Miscellaneous
Porting fixes for Mageia6
More flexible colormaps scalings (as radar)
And a quantity of fixes !...
Commit commit:b53faebc
Advanced netCDF support:
Read/write from/to netCDF files well better handled (examples to come).
Support for any kind of fields, including temporal dimension (from a single Point to a 4D field).
Facility: any field can be dumped to a netCDF file, thanks to the dump_to_nc() method.
Fields' internal data is 4D
Although rather transparent to the user, the internal data storage of fields is now always 4D. This modification brings great simplification in many places.
The getdata()/setdata() methods are hereby essential to use, with the optional d4=True.
Better handling of time dimension in fields
Corrections, modifications linked to previous item, and possibility to extract a time index or extend time dimension with another field (cf. methods).
Animation of fields
Fields with a temporal dimension now propose a plotanimation() method, that create a matplotlib animation, that can be saved to a MP4 file.
"Special resources": or how to get 3D/4D fields from 2D resource(s)
A new proxy function to create easily "special resources" (epygram.resources.special_resource()), that enable to:
- make 3D fields from a resource containing a series of horizontal fields distributed on the vertical;
- make 2D fields + temporal dimension from a series of 1-time resources;
- combination of both.
Better handling of matplotlib's figures and axes in plotfield()
Enables to have multiple plots on the same figure, and a more trustful superposition of plots.
Derivatives for Gauss grid fields (arpifs4py)
Similarly to the cartesian grids, through the compute_xy_spderivatives() method.
Une série de fichiers comportant les mesures du Climat (Cimel) et des Kipp&Zonen a été produit.
Pour l'instant, ce jeu couvre les vols 17 à 23.
Il n'y a pas de correction de l'effet de l'attitude de l'avion sur le rayonnement global descendant.