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import argparse |
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import glob |
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import os |
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import sys |
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import traceback |
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import numpy |
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import openpyxl |
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from . import las |
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class ExcelConverter(object): |
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'''Provide ability to export LAS data into an Excel spreadsheet. |
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Arguments: |
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las (:class:`lasio.las.LASFile` object) |
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''' |
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def __init__(self, las): |
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self.set_las(las) |
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def set_las(self, las): |
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'''Set LASFile object. |
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Arguments: |
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las (:class:`lasio.las.LASFile` object) |
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''' |
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self.las = las |
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self.generate_workbook() |
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return self |
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def generate_workbook(self): |
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'''Generate the Excel workbook object. |
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Two sheets are created: |
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* Header: contains all the header sections and metadata |
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* Curves: contains the data |
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''' |
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wb = openpyxl.Workbook() |
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header = wb['Sheet'] |
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header.title = 'Header' |
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curves = wb.create_sheet() |
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curves.title = 'Curves' |
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def write_cell(sh, i, j, value): |
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c = sh.cell(row=i + 1, column=j + 1) |
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c.value = value |
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write_cell(header, 0, 0, 'Section') |
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write_cell(header, 0, 1, 'Mnemonic') |
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write_cell(header, 0, 2, 'Unit') |
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write_cell(header, 0, 3, 'Value') |
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write_cell(header, 0, 4, 'Description') |
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sections = [ |
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('~Version', self.las.version), |
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('~Well', self.las.well), |
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('~Parameter', self.las.params), |
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('~Curves', self.las.curves), |
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] |
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n = 1 |
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for sect_name, sect in sections: |
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for i, item in enumerate(sect.values()): |
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write_cell(header, n, 0, sect_name) |
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write_cell(header, n, 1, item.mnemonic) |
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write_cell(header, n, 2, item.unit) |
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write_cell(header, n, 3, item.value) |
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write_cell(header, n, 4, item.descr) |
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n += 1 |
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for i, curve in enumerate(self.las.curves): |
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write_cell(curves, 0, i, curve.mnemonic) |
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for j, value in enumerate(curve.data): |
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if numpy.isnan(value): |
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write_cell(curves, j + 1, i, '') |
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else: |
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write_cell(curves, j + 1, i, value) |
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self.workbook = wb |
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return self |
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def write(self, xlsxfn): |
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'''Write the Excel workbook to an ``.xlsx`` file. |
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Arguments: |
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xlsxfn (str): filename (will be overwritten without warning) |
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''' |
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assert xlsxfn.lower().endswith('.xlsx') |
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self.workbook.save(xlsxfn) |
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def main(): |
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args = get_parser().parse_args(sys.argv[1:]) |
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lasfn = args.LAS_filename |
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xlsxfn = args.XLSX_filename |
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l = las.LASFile(lasfn) |
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converter = ExcelConverter(l) |
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converter.write(xlsxfn) |
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def get_parser(): |
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parser = argparse.ArgumentParser('Convert LAS file to XLSX', |
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formatter_class=argparse.ArgumentDefaultsHelpFormatter) |
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parser.add_argument('LAS_filename') |
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parser.add_argument('XLSX_filename') |
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return parser |
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def main_bulk(): |
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args = get_bulk_parser().parse_args(sys.argv[1:]) |
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paths = [] |
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if args.recursive: |
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for dirpath, dirnames, filenames in os.walk(args.path): |
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paths.append(dirpath) |
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else: |
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paths.append(args.path) |
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for path in paths: |
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for lasfn in glob.glob(os.path.join(path, args.glob)): |
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xlsxfn = lasfn.lower().replace('.las', '.xlsx') |
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print('Converting %s -> %s' % (lasfn, xlsxfn)) |
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try: |
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l = las.LASFile(lasfn, ignore_header_errors=args.ignore_header_errors) |
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converter = ExcelConverter(l) |
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converter.write(xlsxfn) |
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except: |
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print('Failed to convert file. Error message:\n' |
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+ traceback.format_exc()) |
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def get_bulk_parser(): |
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parser = argparse.ArgumentParser('Convert LAS files to XLSX', |
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formatter_class=argparse.ArgumentDefaultsHelpFormatter) |
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parser.add_argument('-g', '--glob', default='*.las', help='Match LAS files with this pattern') |
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parser.add_argument('-r', '--recursive', action='store_true', help='Recurse through subfolders.', default=False) |
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parser.add_argument('-i', '--ignore-header-errors', action='store_true', help='Ignore header section errors.', default=False) |
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parser.add_argument('path') |
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return parser |
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if __name__ == '__main__': |
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main() |
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kinverarity1 /
lasio
