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        "author": "Ikechukwu Eze",
        "author_email": "iykekings36@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# Las-py\n\n## las-py is a zero-dependency Python library for parsing .Las file (Geophysical/Canadian well log files).\n\n## Currently supports only version 2.0 of LAS Specification. For more information about this format, see the Canadian Well Logging Society [web page](http://www.cwls.org/las/)\n\n- What's new in 1.1.0\n\n  - Export to csv\n  - Export to csv without rows containing null values\n  - Bug fixes\n\n- To Install\n\n\n    ```sh\n        $pip insatll las-py\n    ```\n\n- Usage\n\n\n    ```python\n        from las_py import Laspy\n     ```\n    ```python\n        my_las = Laspy('path_to_las_file.las')\n    ```\n\n- Read data\n\n\n    ```python\n       data = my_las.data\n       print(data)\n       #[[2650.0, 177.825, -999.25, -999.25], [2650.5, 182.5, -999.25,-999.25], [2651.0,180.162, -999.25, -999.25], [2651.5, 177.825, -999.25, -999.25], [2652.0, 177.825, -999.25, -999.25] ...]\n    ```\n    ```python\n        # get data with rows that has null value stripped\n       data = my_las.data_stripped\n       print(data)\n       #[[2657.5, 212.002, 0.16665, 1951.74597], [2658.0, 201.44, 0.1966, 1788.50696], [2658.5, 204.314, 0.21004, 1723.21204], [2659.0, 212.075, 0.22888, 1638.328], [2659.5, 243.536, 0.22439, 1657.91699]...]\n    ```\n\n- Get the log headers\n\n\n    ```python\n        headers = my_las.header\n        print(headers)\n        # ['DEPTH', 'GR', 'NPHI', 'RHOB']\n    ```\n\n- Get the log headers descriptions\n\n\n    ```python\n        hds_and_desc = my_las.header_and_descr\n        print(hds_and_desc)\n        # {DEPTH': 'DEPTH', 'GR': 'Gamma Ray', 'NPHI': 'Neutron Porosity','RHOB': 'Bulk density'}\n    ```\n\n- Get a particular column, say Gamma Ray log\n\n\n    ```python\n        GR = my_las.column('GR')\n        print(GR)\n        # [-999.25, -999.25, -999.25, -999.25, -999.25, 122.03, 123.14, ...]\n    ```\n    ```python\n        # get column with null values stripped\n        GR = my_las.column_stripped('GR')\n        print(GR)\n        # [61.61, 59.99, 54.02, 50.87, 54.68, 64.39, 77.96, ...]\n    ```\n    > Note this returns the column, after all the data has been stripped off their null values, which means that valid data in a particular column would be stripped off if there is another column that has a null value at that particular row\n\n- Get the Well Parameters\n\n  ### Presents a way of accessing the details individual well parameters.\n\n  ### The details include the following:\n\n        1. descr - Description/ Full name of the well parameter\n        2. units - Its unit measurements\n        3. value - Value\n\n  ```python\n    start = my_las.well.STRT.value # 1670.0\n    stop = my_las.well.STOP.value #  1669.75\n    null_value = my_las.well.NULL.value #  -999.25\n    # Any other well parameter present in the file, canbe gotten with the same syntax above\n  ```\n\n- Get the Curve Parameters\n\n  ### Presents a way of accessing the details individual log columns.\n\n  ### The details include the following:\n\n        1. descr - Description/ Full name of the log column\n        2. units - Unit of the log column measurements\n        3. value - API value of the log column\n\n  ```python\n    NPHI = my_las.curve.NPHI.descr # 'Neutron Porosity'\n    RHOB = my_las.curve.RHOB.descr # 'Bulk density'\n    # This is the same for all log column present in the file\n  ```\n\n- Get the Parameters of the well\n\n  ### The details include the following:\n\n        1. descr - Description/ Full name of the log column\n        2. units - Unit of the log column measurements\n        3. value - API value of the log column\n\n  ```python\n    BHT = my_las.param.BHT.descr # 'BOTTOM HOLE TEMPERATURE'\n    BHT_valaue = my_las.param.BHT.value # 35.5\n    BHT_units = my_las.param.BHT.units # 'DEGC'\n    # This is the same for all well parameters present in the file\n  ```\n\n- Get the number of rows and columns\n\n\n    ```python\n        rows = my_las.row_counts # 4\n        columns = my_las.column_counts # 3081\n    ```\n\n- Get the version and wrap\n\n\n    ```python\n        version = my_las.version # '2.0'\n        wrap = my_las.wrap # 'YES'\n    ```\n\n- Get other information\n\n  ```python\n      other = my_las.other\n      print(other)\n      # Note: The logging tools became stuck at 625 metres causing the data\n      # between 625 metres and 615 metres to be invalid.\n  ```\n\n- Export to CSV\n\n  ### This writes a csv file to the current working directory, with headers of the well and data section only.\n\n  ```python\n      my_las.to_csv('result')\n      # result.csv has been created Successfully!\n  ```\n\n  > result.csv\n\n  | DEPT | RHOB    | GR      | NPHI  |\n  | ---- | ------- | ------- | ----- |\n  | 0.5  | -999.25 | -999.25 | -0.08 |\n  | 1.0  | -999.25 | -999.25 | -0.08 |\n  | 1.5  | -999.25 | -999.25 | -0.04 |\n  | ...  | ...     | ...     | ...   |\n  | 1.3  | -999.25 | -999.25 | -0.08 |\n\n  Or get the version of csv with null values stripped\n\n  ```python\n      my_las.to_csv_stripped('clean')\n      # clean.csv has been created Successfully!\n  ```\n\n  > clean.csv\n\n  | DEPT | RHOB  | GR   | NPHI  |\n  | ---- | ----- | ---- | ----- |\n  | 80.5 | 2.771 | 18.6 | -6.08 |\n  | 81.0 | 2.761 | 17.4 | -6.0  |\n  | 81.5 | 2.752 | 16.4 | -5.96 |\n  | ...  | ...   | ...  | ...   |\n  | 80.5 | 2.762 | 16.2 | -5.06 |\n\n- ## Support\n  las-py is an MIT-licensed open source project. You can help it grow by becoming a sponsor/supporter. Donate on [Patreon](https://www.patreon.com/bePatron?u=19152008)\n\n\n",
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