Python class for reading and writing NonLinLoc grid files.
(c) 2015-2017 Claudio Satriano, Natalia Poiata
Clone or download the project from GitHub, uncompress the archive (if needed), and install the codes by running (from within the main directory):
pip install .
(use pip install -e .
to install in developer mode).
A NLL grid is composed of two files (.hdr
and .buf
).
To read a NLL grid, do:
>>> from nllgrid import NLLGrid
>>> grd = NLLGrid('somegrid.hdr')
or, using the .buf
filename:
>>> grd = NLLGrid('somegrid.buf')
or even without any extension:
>>> grd = NLLGrid('somegrid')
A grid description can be obtained by:
>>> print(grd)
The grid data array is accessed by grd.array
.
The grid can be plotted doing:
>>> grd.plot()
Use Python introspection (e.g. dir(grd)
) to see all the available methods and attributes.
Suppose that you have a 3D data array stored into a NumPy array called mydata
.
First, create an empty NLL grid object:
>>> from nllgrid import NLLGrid
>>> grd = NLLGrid()
then, add the data array and information on grid sampling and grid origin, e.g.:
>>> grd.array = mydata
>>> grd.dx = 0.5 #km
>>> grd.dy = 0.5 #km
>>> grd.dz = 0.5 #km
>>> grd.x_orig = -10 #km
>>> grd.y_orig = -20. #km
>>> grd.z_orig = -1. #km
Optionally, add a grid type and/or a geographic transformation:
>>> grd.type = 'VELOCITY'
>>> grd.orig_lat = 40.63
>>> grd.orig_lon = 15.80
>>> grd.proj_name = 'LAMBERT'
>>> grd.first_std_paral = 38.
>>> grd.second_std_paral = 42.
>>> grd.proj_ellipsoid = 'WGS-84'
Finally, give a basename and write to disk:
>>> grd.basename = 'mygrid'
>>> grd.write_hdr_file()
>>> grd.write_buf_file()
This will create the two files mygrid.hdr
and mygrid.buf
.
Note that if you want to use your grid as input for NonLinLoc Grid2Time
code, the grid type has to be SLOW_LEN
and your grid array has to be transformed into slowness (in s/km) and multiplied by the grid step (in km).