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diff --git a/python-lasio.spec b/python-lasio.spec new file mode 100644 index 0000000..be37ab1 --- /dev/null +++ b/python-lasio.spec @@ -0,0 +1,552 @@ +%global _empty_manifest_terminate_build 0 +Name: python-lasio +Version: 0.30 +Release: 1 +Summary: Read/write well data from Log ASCII Standard (LAS) files +License: MIT +URL: https://github.com/kinverarity1/lasio +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c6/16/59f214003f6dad6e83ce9c14175ece1be6983c3d21ffe35f1bd82520c7e5/lasio-0.30.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-cchardet +Requires: python3-openpyxl +Requires: python3-pandas +Requires: python3-cchardet +Requires: python3-openpyxl +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-coverage +Requires: python3-codecov +Requires: python3-pytest-benchmark + +%description +# lasio + +[](https://github.com/kinverarity1/lasio/blob/master/LICENSE) + +Read and write Log ASCII Standard files with Python. + +This is a Python 3.3+ package to read and write Log ASCII Standard +(LAS) files, used for borehole data such as geophysical, geological, or +petrophysical logs. It's compatible with versions 1.2 and 2.0 of the LAS file +specification, published by the [Canadian Well Logging +Society](https://www.cwls.org/products/#products-las). Support for LAS 3 is +[being worked on](https://github.com/kinverarity1/lasio/issues/5). In +principle it is designed to read as many types of LAS files as possible, +including ones containing common errors or non-compliant formatting. + +lasio is primarily for reading & writing data and metadata to and from LAS files. +lasio does not mind whether LAS files meet the formal specification before reading +data from them; check out the project [lascheck](https://github.com/MandarJKulkarni/lascheck) +for doing that sort of thing. If you are working specifically with lithological or +stratigraphic data, you may find [striplog](https://github.com/agile-geoscience/striplog) +helpful, while if you are focused on working at the well level, please take a +look at [welly](https://github.com/agile-geoscience/welly), which provides +much more functionality in that area. + +Note this is not a package for reading LiDAR data (also called "LAS files"); +you may want to check out [laspy](https://github.com/laspy/laspy) for that. + +lasio [stopped](https://github.com/kinverarity1/lasio/issues/364) +supporting Python 2.7 in August 2020. The final version of lasio with Python 2.7 support +is version 0.26. + +## Code of conduct + +See our [code of conduct](https://lasio.readthedocs.io/en/latest/contributing.html#code-of-conduct). + +## Documentation + +See here for the [complete lasio package +documentation](https://lasio.readthedocs.io/en/latest/). + +## Quick start + +For the minimum working requirements, you'll need numpy installed. Install +lasio with: + +```bash +$ pip install lasio +``` + +To make sure you have everything, use this to ensure pandas, cchardet, and +openpyxl are also installed: + +```bash +$ pip install lasio[all] +``` + +Example session: + +```python +>>> import lasio +``` + +You can read the file using a filename, file-like object, or URL: + +```python +>>> las = lasio.read("sample_rev.las") +``` + +Data is accessible both directly as numpy arrays + +```python +>>> las.keys() +['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD'] +>>> las['SFLU'] +array([ 123.45, 123.45, 123.45, ..., 123.45, 123.45, 123.45]) +>>> las['DEPT'] +array([ 1670. , 1669.875, 1669.75 , ..., 1669.75 , 1670. , + 1669.875]) +``` + +and as ``CurveItem`` objects with associated metadata: + +```python +>>> las.curves +[CurveItem(mnemonic=DEPT, unit=M, value=, descr=1 DEPTH, original_mnemonic=DEPT, data.shape=(29897,)), +CurveItem(mnemonic=DT, unit=US/M, value=, descr=2 SONIC TRANSIT TIME, original_mnemonic=DT, data.shape=(29897,)), +CurveItem(mnemonic=RHOB, unit=K/M3, value=, descr=3 BULK DENSITY, original_mnemonic=RHOB, data.shape=(29897,)), +CurveItem(mnemonic=NPHI, unit=V/V, value=, descr=4 NEUTRON POROSITY, original_mnemonic=NPHI, data.shape=(29897,)), +CurveItem(mnemonic=SFLU, unit=OHMM, value=, descr=5 RXO RESISTIVITY, original_mnemonic=SFLU, data.shape=(29897,)), +CurveItem(mnemonic=SFLA, unit=OHMM, value=, descr=6 SHALLOW RESISTIVITY, original_mnemonic=SFLA, data.shape=(29897,)), +CurveItem(mnemonic=ILM, unit=OHMM, value=, descr=7 MEDIUM RESISTIVITY, original_mnemonic=ILM, data.shape=(29897,)), +CurveItem(mnemonic=ILD, unit=OHMM, value=, descr=8 DEEP RESISTIVITY, original_mnemonic=ILD, data.shape=(29897,))] +``` + +Header information is parsed into simple HeaderItem objects, and stored in a +dictionary for each section of the header: + +```python +>>> las.version +[HeaderItem(mnemonic=VERS, unit=, value=1.2, descr=CWLS LOG ASCII STANDARD -VERSION 1.2, original_mnemonic=VERS), +HeaderItem(mnemonic=WRAP, unit=, value=NO, descr=ONE LINE PER DEPTH STEP, original_mnemonic=WRAP)] +>>> las.well +[HeaderItem(mnemonic=STRT, unit=M, value=1670.0, descr=, original_mnemonic=STRT), +HeaderItem(mnemonic=STOP, unit=M, value=1660.0, descr=, original_mnemonic=STOP), +HeaderItem(mnemonic=STEP, unit=M, value=-0.125, descr=, original_mnemonic=STEP), +HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=, original_mnemonic=NULL), +HeaderItem(mnemonic=COMP, unit=, value=ANY OIL COMPANY LTD., descr=COMPANY, original_mnemonic=COMP), +HeaderItem(mnemonic=WELL, unit=, value=ANY ET AL OIL WELL #12, descr=WELL, original_mnemonic=WELL), +HeaderItem(mnemonic=FLD, unit=, value=EDAM, descr=FIELD, original_mnemonic=FLD), +HeaderItem(mnemonic=LOC, unit=, value=A9-16-49, descr=LOCATION, original_mnemonic=LOC), +HeaderItem(mnemonic=PROV, unit=, value=SASKATCHEWAN, descr=PROVINCE, original_mnemonic=PROV), +HeaderItem(mnemonic=SRVC, unit=, value=ANY LOGGING COMPANY LTD., descr=SERVICE COMPANY, original_mnemonic=SRVC), +HeaderItem(mnemonic=DATE, unit=, value=25-DEC-1988, descr=LOG DATE, original_mnemonic=DATE), +HeaderItem(mnemonic=UWI, unit=, value=100091604920, descr=UNIQUE WELL ID, original_mnemonic=UWI)] +>>> las.params +[HeaderItem(mnemonic=BHT, unit=DEGC, value=35.5, descr=BOTTOM HOLE TEMPERATURE, original_mnemonic=BHT), +HeaderItem(mnemonic=BS, unit=MM, value=200.0, descr=BIT SIZE, original_mnemonic=BS), +HeaderItem(mnemonic=FD, unit=K/M3, value=1000.0, descr=FLUID DENSITY, original_mnemonic=FD), +HeaderItem(mnemonic=MATR, unit=, value=0.0, descr=NEUTRON MATRIX(0=LIME,1=SAND,2=DOLO), original_mnemonic=MATR), +HeaderItem(mnemonic=MDEN, unit=, value=2710.0, descr=LOGGING MATRIX DENSITY, original_mnemonic=MDEN), +HeaderItem(mnemonic=RMF, unit=OHMM, value=0.216, descr=MUD FILTRATE RESISTIVITY, original_mnemonic=RMF), +HeaderItem(mnemonic=DFD, unit=K/M3, value=1525.0, descr=DRILL FLUID DENSITY, original_mnemonic=DFD)] +``` + +The data is stored as a 2D numpy array: + +```python +>>> las.data +array([[ 1670. , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.875, 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.75 , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + ..., + [ 1669.75 , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1670. , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.875, 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ]]) +``` + +You can also retrieve and load data as a ``pandas`` DataFrame, build LAS files +from scratch, write them back to disc, and export to Excel, amongst other +things. + +See the [package documentation](https://lasio.readthedocs.io/en/latest/) for +more details. + +## Contributing + +Contributions are invited and welcome. + +See [Contributing](https://lasio.readthedocs.io/en/latest/contributing.html) for how to get started. + + +## License + +MIT + + + + +%package -n python3-lasio +Summary: Read/write well data from Log ASCII Standard (LAS) files +Provides: python-lasio +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-lasio +# lasio + +[](https://github.com/kinverarity1/lasio/blob/master/LICENSE) + +Read and write Log ASCII Standard files with Python. + +This is a Python 3.3+ package to read and write Log ASCII Standard +(LAS) files, used for borehole data such as geophysical, geological, or +petrophysical logs. It's compatible with versions 1.2 and 2.0 of the LAS file +specification, published by the [Canadian Well Logging +Society](https://www.cwls.org/products/#products-las). Support for LAS 3 is +[being worked on](https://github.com/kinverarity1/lasio/issues/5). In +principle it is designed to read as many types of LAS files as possible, +including ones containing common errors or non-compliant formatting. + +lasio is primarily for reading & writing data and metadata to and from LAS files. +lasio does not mind whether LAS files meet the formal specification before reading +data from them; check out the project [lascheck](https://github.com/MandarJKulkarni/lascheck) +for doing that sort of thing. If you are working specifically with lithological or +stratigraphic data, you may find [striplog](https://github.com/agile-geoscience/striplog) +helpful, while if you are focused on working at the well level, please take a +look at [welly](https://github.com/agile-geoscience/welly), which provides +much more functionality in that area. + +Note this is not a package for reading LiDAR data (also called "LAS files"); +you may want to check out [laspy](https://github.com/laspy/laspy) for that. + +lasio [stopped](https://github.com/kinverarity1/lasio/issues/364) +supporting Python 2.7 in August 2020. The final version of lasio with Python 2.7 support +is version 0.26. + +## Code of conduct + +See our [code of conduct](https://lasio.readthedocs.io/en/latest/contributing.html#code-of-conduct). + +## Documentation + +See here for the [complete lasio package +documentation](https://lasio.readthedocs.io/en/latest/). + +## Quick start + +For the minimum working requirements, you'll need numpy installed. Install +lasio with: + +```bash +$ pip install lasio +``` + +To make sure you have everything, use this to ensure pandas, cchardet, and +openpyxl are also installed: + +```bash +$ pip install lasio[all] +``` + +Example session: + +```python +>>> import lasio +``` + +You can read the file using a filename, file-like object, or URL: + +```python +>>> las = lasio.read("sample_rev.las") +``` + +Data is accessible both directly as numpy arrays + +```python +>>> las.keys() +['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD'] +>>> las['SFLU'] +array([ 123.45, 123.45, 123.45, ..., 123.45, 123.45, 123.45]) +>>> las['DEPT'] +array([ 1670. , 1669.875, 1669.75 , ..., 1669.75 , 1670. , + 1669.875]) +``` + +and as ``CurveItem`` objects with associated metadata: + +```python +>>> las.curves +[CurveItem(mnemonic=DEPT, unit=M, value=, descr=1 DEPTH, original_mnemonic=DEPT, data.shape=(29897,)), +CurveItem(mnemonic=DT, unit=US/M, value=, descr=2 SONIC TRANSIT TIME, original_mnemonic=DT, data.shape=(29897,)), +CurveItem(mnemonic=RHOB, unit=K/M3, value=, descr=3 BULK DENSITY, original_mnemonic=RHOB, data.shape=(29897,)), +CurveItem(mnemonic=NPHI, unit=V/V, value=, descr=4 NEUTRON POROSITY, original_mnemonic=NPHI, data.shape=(29897,)), +CurveItem(mnemonic=SFLU, unit=OHMM, value=, descr=5 RXO RESISTIVITY, original_mnemonic=SFLU, data.shape=(29897,)), +CurveItem(mnemonic=SFLA, unit=OHMM, value=, descr=6 SHALLOW RESISTIVITY, original_mnemonic=SFLA, data.shape=(29897,)), +CurveItem(mnemonic=ILM, unit=OHMM, value=, descr=7 MEDIUM RESISTIVITY, original_mnemonic=ILM, data.shape=(29897,)), +CurveItem(mnemonic=ILD, unit=OHMM, value=, descr=8 DEEP RESISTIVITY, original_mnemonic=ILD, data.shape=(29897,))] +``` + +Header information is parsed into simple HeaderItem objects, and stored in a +dictionary for each section of the header: + +```python +>>> las.version +[HeaderItem(mnemonic=VERS, unit=, value=1.2, descr=CWLS LOG ASCII STANDARD -VERSION 1.2, original_mnemonic=VERS), +HeaderItem(mnemonic=WRAP, unit=, value=NO, descr=ONE LINE PER DEPTH STEP, original_mnemonic=WRAP)] +>>> las.well +[HeaderItem(mnemonic=STRT, unit=M, value=1670.0, descr=, original_mnemonic=STRT), +HeaderItem(mnemonic=STOP, unit=M, value=1660.0, descr=, original_mnemonic=STOP), +HeaderItem(mnemonic=STEP, unit=M, value=-0.125, descr=, original_mnemonic=STEP), +HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=, original_mnemonic=NULL), +HeaderItem(mnemonic=COMP, unit=, value=ANY OIL COMPANY LTD., descr=COMPANY, original_mnemonic=COMP), +HeaderItem(mnemonic=WELL, unit=, value=ANY ET AL OIL WELL #12, descr=WELL, original_mnemonic=WELL), +HeaderItem(mnemonic=FLD, unit=, value=EDAM, descr=FIELD, original_mnemonic=FLD), +HeaderItem(mnemonic=LOC, unit=, value=A9-16-49, descr=LOCATION, original_mnemonic=LOC), +HeaderItem(mnemonic=PROV, unit=, value=SASKATCHEWAN, descr=PROVINCE, original_mnemonic=PROV), +HeaderItem(mnemonic=SRVC, unit=, value=ANY LOGGING COMPANY LTD., descr=SERVICE COMPANY, original_mnemonic=SRVC), +HeaderItem(mnemonic=DATE, unit=, value=25-DEC-1988, descr=LOG DATE, original_mnemonic=DATE), +HeaderItem(mnemonic=UWI, unit=, value=100091604920, descr=UNIQUE WELL ID, original_mnemonic=UWI)] +>>> las.params +[HeaderItem(mnemonic=BHT, unit=DEGC, value=35.5, descr=BOTTOM HOLE TEMPERATURE, original_mnemonic=BHT), +HeaderItem(mnemonic=BS, unit=MM, value=200.0, descr=BIT SIZE, original_mnemonic=BS), +HeaderItem(mnemonic=FD, unit=K/M3, value=1000.0, descr=FLUID DENSITY, original_mnemonic=FD), +HeaderItem(mnemonic=MATR, unit=, value=0.0, descr=NEUTRON MATRIX(0=LIME,1=SAND,2=DOLO), original_mnemonic=MATR), +HeaderItem(mnemonic=MDEN, unit=, value=2710.0, descr=LOGGING MATRIX DENSITY, original_mnemonic=MDEN), +HeaderItem(mnemonic=RMF, unit=OHMM, value=0.216, descr=MUD FILTRATE RESISTIVITY, original_mnemonic=RMF), +HeaderItem(mnemonic=DFD, unit=K/M3, value=1525.0, descr=DRILL FLUID DENSITY, original_mnemonic=DFD)] +``` + +The data is stored as a 2D numpy array: + +```python +>>> las.data +array([[ 1670. , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.875, 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.75 , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + ..., + [ 1669.75 , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1670. , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.875, 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ]]) +``` + +You can also retrieve and load data as a ``pandas`` DataFrame, build LAS files +from scratch, write them back to disc, and export to Excel, amongst other +things. + +See the [package documentation](https://lasio.readthedocs.io/en/latest/) for +more details. + +## Contributing + +Contributions are invited and welcome. + +See [Contributing](https://lasio.readthedocs.io/en/latest/contributing.html) for how to get started. + + +## License + +MIT + + + + +%package help +Summary: Development documents and examples for lasio +Provides: python3-lasio-doc +%description help +# lasio + +[](https://github.com/kinverarity1/lasio/blob/master/LICENSE) + +Read and write Log ASCII Standard files with Python. + +This is a Python 3.3+ package to read and write Log ASCII Standard +(LAS) files, used for borehole data such as geophysical, geological, or +petrophysical logs. It's compatible with versions 1.2 and 2.0 of the LAS file +specification, published by the [Canadian Well Logging +Society](https://www.cwls.org/products/#products-las). Support for LAS 3 is +[being worked on](https://github.com/kinverarity1/lasio/issues/5). In +principle it is designed to read as many types of LAS files as possible, +including ones containing common errors or non-compliant formatting. + +lasio is primarily for reading & writing data and metadata to and from LAS files. +lasio does not mind whether LAS files meet the formal specification before reading +data from them; check out the project [lascheck](https://github.com/MandarJKulkarni/lascheck) +for doing that sort of thing. If you are working specifically with lithological or +stratigraphic data, you may find [striplog](https://github.com/agile-geoscience/striplog) +helpful, while if you are focused on working at the well level, please take a +look at [welly](https://github.com/agile-geoscience/welly), which provides +much more functionality in that area. + +Note this is not a package for reading LiDAR data (also called "LAS files"); +you may want to check out [laspy](https://github.com/laspy/laspy) for that. + +lasio [stopped](https://github.com/kinverarity1/lasio/issues/364) +supporting Python 2.7 in August 2020. The final version of lasio with Python 2.7 support +is version 0.26. + +## Code of conduct + +See our [code of conduct](https://lasio.readthedocs.io/en/latest/contributing.html#code-of-conduct). + +## Documentation + +See here for the [complete lasio package +documentation](https://lasio.readthedocs.io/en/latest/). + +## Quick start + +For the minimum working requirements, you'll need numpy installed. Install +lasio with: + +```bash +$ pip install lasio +``` + +To make sure you have everything, use this to ensure pandas, cchardet, and +openpyxl are also installed: + +```bash +$ pip install lasio[all] +``` + +Example session: + +```python +>>> import lasio +``` + +You can read the file using a filename, file-like object, or URL: + +```python +>>> las = lasio.read("sample_rev.las") +``` + +Data is accessible both directly as numpy arrays + +```python +>>> las.keys() +['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD'] +>>> las['SFLU'] +array([ 123.45, 123.45, 123.45, ..., 123.45, 123.45, 123.45]) +>>> las['DEPT'] +array([ 1670. , 1669.875, 1669.75 , ..., 1669.75 , 1670. , + 1669.875]) +``` + +and as ``CurveItem`` objects with associated metadata: + +```python +>>> las.curves +[CurveItem(mnemonic=DEPT, unit=M, value=, descr=1 DEPTH, original_mnemonic=DEPT, data.shape=(29897,)), +CurveItem(mnemonic=DT, unit=US/M, value=, descr=2 SONIC TRANSIT TIME, original_mnemonic=DT, data.shape=(29897,)), +CurveItem(mnemonic=RHOB, unit=K/M3, value=, descr=3 BULK DENSITY, original_mnemonic=RHOB, data.shape=(29897,)), +CurveItem(mnemonic=NPHI, unit=V/V, value=, descr=4 NEUTRON POROSITY, original_mnemonic=NPHI, data.shape=(29897,)), +CurveItem(mnemonic=SFLU, unit=OHMM, value=, descr=5 RXO RESISTIVITY, original_mnemonic=SFLU, data.shape=(29897,)), +CurveItem(mnemonic=SFLA, unit=OHMM, value=, descr=6 SHALLOW RESISTIVITY, original_mnemonic=SFLA, data.shape=(29897,)), +CurveItem(mnemonic=ILM, unit=OHMM, value=, descr=7 MEDIUM RESISTIVITY, original_mnemonic=ILM, data.shape=(29897,)), +CurveItem(mnemonic=ILD, unit=OHMM, value=, descr=8 DEEP RESISTIVITY, original_mnemonic=ILD, data.shape=(29897,))] +``` + +Header information is parsed into simple HeaderItem objects, and stored in a +dictionary for each section of the header: + +```python +>>> las.version +[HeaderItem(mnemonic=VERS, unit=, value=1.2, descr=CWLS LOG ASCII STANDARD -VERSION 1.2, original_mnemonic=VERS), +HeaderItem(mnemonic=WRAP, unit=, value=NO, descr=ONE LINE PER DEPTH STEP, original_mnemonic=WRAP)] +>>> las.well +[HeaderItem(mnemonic=STRT, unit=M, value=1670.0, descr=, original_mnemonic=STRT), +HeaderItem(mnemonic=STOP, unit=M, value=1660.0, descr=, original_mnemonic=STOP), +HeaderItem(mnemonic=STEP, unit=M, value=-0.125, descr=, original_mnemonic=STEP), +HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=, original_mnemonic=NULL), +HeaderItem(mnemonic=COMP, unit=, value=ANY OIL COMPANY LTD., descr=COMPANY, original_mnemonic=COMP), +HeaderItem(mnemonic=WELL, unit=, value=ANY ET AL OIL WELL #12, descr=WELL, original_mnemonic=WELL), +HeaderItem(mnemonic=FLD, unit=, value=EDAM, descr=FIELD, original_mnemonic=FLD), +HeaderItem(mnemonic=LOC, unit=, value=A9-16-49, descr=LOCATION, original_mnemonic=LOC), +HeaderItem(mnemonic=PROV, unit=, value=SASKATCHEWAN, descr=PROVINCE, original_mnemonic=PROV), +HeaderItem(mnemonic=SRVC, unit=, value=ANY LOGGING COMPANY LTD., descr=SERVICE COMPANY, original_mnemonic=SRVC), +HeaderItem(mnemonic=DATE, unit=, value=25-DEC-1988, descr=LOG DATE, original_mnemonic=DATE), +HeaderItem(mnemonic=UWI, unit=, value=100091604920, descr=UNIQUE WELL ID, original_mnemonic=UWI)] +>>> las.params +[HeaderItem(mnemonic=BHT, unit=DEGC, value=35.5, descr=BOTTOM HOLE TEMPERATURE, original_mnemonic=BHT), +HeaderItem(mnemonic=BS, unit=MM, value=200.0, descr=BIT SIZE, original_mnemonic=BS), +HeaderItem(mnemonic=FD, unit=K/M3, value=1000.0, descr=FLUID DENSITY, original_mnemonic=FD), +HeaderItem(mnemonic=MATR, unit=, value=0.0, descr=NEUTRON MATRIX(0=LIME,1=SAND,2=DOLO), original_mnemonic=MATR), +HeaderItem(mnemonic=MDEN, unit=, value=2710.0, descr=LOGGING MATRIX DENSITY, original_mnemonic=MDEN), +HeaderItem(mnemonic=RMF, unit=OHMM, value=0.216, descr=MUD FILTRATE RESISTIVITY, original_mnemonic=RMF), +HeaderItem(mnemonic=DFD, unit=K/M3, value=1525.0, descr=DRILL FLUID DENSITY, original_mnemonic=DFD)] +``` + +The data is stored as a 2D numpy array: + +```python +>>> las.data +array([[ 1670. , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.875, 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.75 , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + ..., + [ 1669.75 , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1670. , 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ], + [ 1669.875, 123.45 , 2550. , ..., 123.45 , 110.2 , 105.6 ]]) +``` + +You can also retrieve and load data as a ``pandas`` DataFrame, build LAS files +from scratch, write them back to disc, and export to Excel, amongst other +things. + +See the [package documentation](https://lasio.readthedocs.io/en/latest/) for +more details. + +## Contributing + +Contributions are invited and welcome. + +See [Contributing](https://lasio.readthedocs.io/en/latest/contributing.html) for how to get started. + + +## License + +MIT + + + + +%prep +%autosetup -n lasio-0.30 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-lasio -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.30-1 +- Package Spec generated |