dlisio


Namedlisio JSON
Version 1.0.3 PyPI version JSON
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home_pagehttps://github.com/equinor/dlisio
SummaryPython library for working with the well log formats DLIS (RP66v1) and LIS79
upload_time2025-01-21 11:43:32
maintainerNone
docs_urlNone
authorNone
requires_pythonNone
licenseLGPL-3.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <p align="center">
  <img src="https://raw.githubusercontent.com/equinor/dlisio/master/dlisio-icon.svg" alt="dlisio icon" width="400"/>
</p>

<p align="center">
  <a href="https://pypi.org/project/dlisio/">
    <img src="https://badge.fury.io/py/dlisio.svg" alt="PyPI version"/>
  </a>
  <a href="https://github.com/equinor/dlisio/actions/workflows/wheels.yaml">
    <img src="https://github.com/equinor/dlisio/actions/workflows/wheels.yaml/badge.svg" alt="Github Actions"/>
  </a>
  <a href="http://dlisio.readthedocs.io/">
    <img src="https://img.shields.io/readthedocs/dlisio" alt="Read the Docs"/>
  </a>
</p>

## Introduction ##

dlisio is an LGPL licensed library for reading well logs in Digital Log
Interchange Standard (DLIS V1), also known as [RP66
V1](https://www.energistics.org/sites/default/files/rp66v1.html), and Log Information
Standard 79 ([LIS79](https://www.energistics.org/sites/default/files/2022-10/lis-79.pdf)).

dlisio is designed as a general purpose library for reading well logs in a
simple and easy-to-use manner. Its main focus is making all the data and
metadata accessible while putting few assumptions on how the data is to be
used. This makes it suitable as a building block for higher level applications
as well as for being used directly.

dlisio focuses above all on correctness, performance and robustness. Its core,
which does all the heavy lifting, is implemented in C++. Both the C++ core and
the python wrappers are backed by an extensive test-suite. It strives to be
robust against files that do not strictly adhere to the specifications, which
is a widespread issue with both DLIS and LIS files. dlisio tries to account for
many of the known specification violations out there, but only when it can do
so without compromising correctness. It will not do any guess work on your
behalf when such violations pose any ambiguity.

## Installation ##

dlisio supplies pre-built python wheels for a variety of platforms and
architectures. The wheels are hosted through the [Python Package Index
(PyPI)](https://pypi.org/) and can be installed with:

```bash
pip install dlisio
```


|   | macOS Intel | macOS ARM | Windows 64bit | Windows 32bit | manylinux x86_64 | manylinux aarch64 | manylinux i686 | musllinux x86_64
|---------------|----|-----|-----|----|----|----|----|----|
| CPython 3.9   | ✅ | ✅  | ✅  | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.10  | ✅ | ✅  | ✅  | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.11  | ✅ | ✅  | ✅  | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.12  | ✅ | ✅  | ✅  | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.13  | ✅ | ✅  | ✅  | ✅ | ✅ | ✅ | ✅ | ✅ |

See [Build dlisio](#Build-dlisio) for building dlisio from source.

## Getting started ##

dlisio's documentation is hosted on
[readthedocs](https://dlisio.readthedocs.io/en/stable/). Please refer there for
proper introduction to dlisio and the file-formats DLIS and LIS. Here is a
motivating example showcasing how to read the curve-data from a DLIS-file:

```python
from dlisio import dlis

with dlis.load('myfile.dlis') as files:
    for f in files:
        for frame in f.frames:
            curves = frame.curves()
            # Do something with the curves

```
and from a LIS-file:

```python
from dlisio import lis

with lis.load('myfile.lis') as files:
    for f in files:
        for format_spec in f.data_format_specs():
            curves = lis.curves(f, format_spec)
            # Do something with the curves
```

In both cases the curves are returned as [structured
numpy.ndarray](https://numpy.org/doc/stable/user/basics.rec.html) with the
curve mnemonics as field names (column names).

## Build dlisio ##

To develop dlisio, or to build a particular revision from source, you need:

* A C++11 compatible compiler (tested on gcc, clang, and msvc 2019)
* [CMake](https://cmake.org/) version 3.5 or greater
* [Python](https://python.org) version 3.9 or greater
* [fmtlib](http://fmtlib.net/) tested mainly with 7.1.3
* [mpark_variant](https://github.com/mpark/variant)
* [pybind11](https://github.com/pybind/pybind11) version 2.6 or greater
* [setuptools](https://pypi.python.org/pypi/setuptools) version 28 or greater
* [layered-file-protocols](https://github.com/equinor/layered-file-protocols)
* python packages pytest and numpy

If you do not have pybind11 installed on your system, the easiest way to get a
working copy is to `pip3 install pybind11` (NP! pybind11, not pybind)

layered-file-protocols has to be installed from source if you don't already
have it on your system:

```bash
git clone https://github.com/equinor/layered-file-protocols.git
mkdir layered-file-protocols/build
cd layered-file-protocols/build
cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON
-DLFP_FMT_HEADER_ONLY=ON
make
make install
```

To then build and install dlisio:

```bash
mkdir dlisio/build
cd dlisio/build
cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON
make
```

dlisio follows common cmake rules and conventions, e.g. to set install prefix
use `-DCMAKE_INSTALL_PREFIX`. To build the python library it is usually a good
idea to build shared libraries. To disable python, pass `-DBUILD_PYTHON=OFF`.
By default, the python library is built.

## Contributing ##

We welcome all kinds of contributions, including bug reports, issues, feature
requests and documentation. The preferred way of submitting a contribution is to
make an [issue](https://github.com/equinor/dlisio/issues) on github.

            

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    "description": "<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/equinor/dlisio/master/dlisio-icon.svg\" alt=\"dlisio icon\" width=\"400\"/>\n</p>\n\n<p align=\"center\">\n  <a href=\"https://pypi.org/project/dlisio/\">\n    <img src=\"https://badge.fury.io/py/dlisio.svg\" alt=\"PyPI version\"/>\n  </a>\n  <a href=\"https://github.com/equinor/dlisio/actions/workflows/wheels.yaml\">\n    <img src=\"https://github.com/equinor/dlisio/actions/workflows/wheels.yaml/badge.svg\" alt=\"Github Actions\"/>\n  </a>\n  <a href=\"http://dlisio.readthedocs.io/\">\n    <img src=\"https://img.shields.io/readthedocs/dlisio\" alt=\"Read the Docs\"/>\n  </a>\n</p>\n\n## Introduction ##\n\ndlisio is an LGPL licensed library for reading well logs in Digital Log\nInterchange Standard (DLIS V1), also known as [RP66\nV1](https://www.energistics.org/sites/default/files/rp66v1.html), and Log Information\nStandard 79 ([LIS79](https://www.energistics.org/sites/default/files/2022-10/lis-79.pdf)).\n\ndlisio is designed as a general purpose library for reading well logs in a\nsimple and easy-to-use manner. Its main focus is making all the data and\nmetadata accessible while putting few assumptions on how the data is to be\nused. This makes it suitable as a building block for higher level applications\nas well as for being used directly.\n\ndlisio focuses above all on correctness, performance and robustness. Its core,\nwhich does all the heavy lifting, is implemented in C++. Both the C++ core and\nthe python wrappers are backed by an extensive test-suite. It strives to be\nrobust against files that do not strictly adhere to the specifications, which\nis a widespread issue with both DLIS and LIS files. dlisio tries to account for\nmany of the known specification violations out there, but only when it can do\nso without compromising correctness. It will not do any guess work on your\nbehalf when such violations pose any ambiguity.\n\n## Installation ##\n\ndlisio supplies pre-built python wheels for a variety of platforms and\narchitectures. The wheels are hosted through the [Python Package Index\n(PyPI)](https://pypi.org/) and can be installed with:\n\n```bash\npip install dlisio\n```\n\n\n|   | macOS Intel | macOS ARM | Windows 64bit | Windows 32bit | manylinux x86_64 | manylinux aarch64 | manylinux i686 | musllinux x86_64\n|---------------|----|-----|-----|----|----|----|----|----|\n| CPython 3.9   | \u2705 | \u2705  | \u2705  | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.10  | \u2705 | \u2705  | \u2705  | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.11  | \u2705 | \u2705  | \u2705  | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.12  | \u2705 | \u2705  | \u2705  | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.13  | \u2705 | \u2705  | \u2705  | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n\nSee [Build dlisio](#Build-dlisio) for building dlisio from source.\n\n## Getting started ##\n\ndlisio's documentation is hosted on\n[readthedocs](https://dlisio.readthedocs.io/en/stable/). Please refer there for\nproper introduction to dlisio and the file-formats DLIS and LIS. Here is a\nmotivating example showcasing how to read the curve-data from a DLIS-file:\n\n```python\nfrom dlisio import dlis\n\nwith dlis.load('myfile.dlis') as files:\n    for f in files:\n        for frame in f.frames:\n            curves = frame.curves()\n            # Do something with the curves\n\n```\nand from a LIS-file:\n\n```python\nfrom dlisio import lis\n\nwith lis.load('myfile.lis') as files:\n    for f in files:\n        for format_spec in f.data_format_specs():\n            curves = lis.curves(f, format_spec)\n            # Do something with the curves\n```\n\nIn both cases the curves are returned as [structured\nnumpy.ndarray](https://numpy.org/doc/stable/user/basics.rec.html) with the\ncurve mnemonics as field names (column names).\n\n## Build dlisio ##\n\nTo develop dlisio, or to build a particular revision from source, you need:\n\n* A C++11 compatible compiler (tested on gcc, clang, and msvc 2019)\n* [CMake](https://cmake.org/) version 3.5 or greater\n* [Python](https://python.org) version 3.9 or greater\n* [fmtlib](http://fmtlib.net/) tested mainly with 7.1.3\n* [mpark_variant](https://github.com/mpark/variant)\n* [pybind11](https://github.com/pybind/pybind11) version 2.6 or greater\n* [setuptools](https://pypi.python.org/pypi/setuptools) version 28 or greater\n* [layered-file-protocols](https://github.com/equinor/layered-file-protocols)\n* python packages pytest and numpy\n\nIf you do not have pybind11 installed on your system, the easiest way to get a\nworking copy is to `pip3 install pybind11` (NP! pybind11, not pybind)\n\nlayered-file-protocols has to be installed from source if you don't already\nhave it on your system:\n\n```bash\ngit clone https://github.com/equinor/layered-file-protocols.git\nmkdir layered-file-protocols/build\ncd layered-file-protocols/build\ncmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON\n-DLFP_FMT_HEADER_ONLY=ON\nmake\nmake install\n```\n\nTo then build and install dlisio:\n\n```bash\nmkdir dlisio/build\ncd dlisio/build\ncmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON\nmake\n```\n\ndlisio follows common cmake rules and conventions, e.g. to set install prefix\nuse `-DCMAKE_INSTALL_PREFIX`. 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