Skip to main content

Python class for reading and writing NonLinLoc grid files

Project description

NLLGrid

Python class for reading and writing NonLinLoc grid files.

(c) 2015-2021 Claudio Satriano, Natalia Poiata

Installation

Using pip

The easiest way to install NLLGrid is through pip:

pip install nllgrid

From this GitHub repository

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).

Getting Started

Reading a NLL grid

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.

Creating a NLL grid

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.

If you want to save your grid in double precision (required for instance by NLDiffLoc), change grd.float_type to 'DOUBLE' before saving the grid (default is 'FLOAT'):

>>> grd.float_type = 'DOUBLE'

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).

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

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

nllgrid-1.2.2-py3-none-any.whl (21.0 kB view details)

Uploaded Python 3

File details

Details for the file nllgrid-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: nllgrid-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 21.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.7

File hashes

Hashes for nllgrid-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d8f0142df47de7e1b7b3ae874664a5ef61613f4f4de51e2854091fa5828a3830
MD5 050e80197510b8f9249c426af1568db8
BLAKE2b-256 7cf6a7a62be48dd2631136edc60ef95e51adf286ab081f5c089b6791ee32c150

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page