New table mapping based on shared column values
renamed old addMapped to addRowMapped to better reflect true functionality.
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@ -14,14 +14,14 @@ scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Add data in column(s) of second ASCIItable selected from row that is given by the value in a mapping column.
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Add data in column(s) of second ASCIItable selected from the row indexed by the value in a mapping column.
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""", version = scriptID)
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""", version = scriptID)
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parser.add_option('-c','--map',
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parser.add_option('-c','--map',
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dest = 'map',
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dest = 'map',
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type = 'string', metavar = 'string',
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type = 'string', metavar = 'string',
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help = 'heading of column containing row mapping')
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help = 'column label containing row mapping')
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parser.add_option('-o','--offset',
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parser.add_option('-o','--offset',
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dest = 'offset',
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dest = 'offset',
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type = 'int', metavar = 'int',
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type = 'int', metavar = 'int',
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@ -29,11 +29,11 @@ parser.add_option('-o','--offset',
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parser.add_option('-l','--label',
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parser.add_option('-l','--label',
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dest = 'label',
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dest = 'label',
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action = 'extend', metavar = '<string LIST>',
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action = 'extend', metavar = '<string LIST>',
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help='column label(s) to be mapped')
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help='column label(s) to be appended')
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parser.add_option('-a','--asciitable',
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parser.add_option('-a','--asciitable',
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dest = 'asciitable',
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dest = 'asciitable',
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type = 'string', metavar = 'string',
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type = 'string', metavar = 'string',
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help = 'mapped ASCIItable')
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help = 'indexed ASCIItable')
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parser.set_defaults(offset = 0,
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parser.set_defaults(offset = 0,
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)
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)
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@ -54,6 +54,7 @@ if options.asciitable is not None and os.path.isfile(options.asciitable):
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readonly = True)
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readonly = True)
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mappedTable.head_read() # read ASCII header info of mapped table
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mappedTable.head_read() # read ASCII header info of mapped table
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missing_labels = mappedTable.data_readArray(options.label)
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missing_labels = mappedTable.data_readArray(options.label)
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mappedTable.close() # close mapped input ASCII table
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if len(missing_labels) > 0:
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if len(missing_labels) > 0:
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damask.util.croak('column{} {} not found...'.format('s' if len(missing_labels) > 1 else '',', '.join(missing_labels)))
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damask.util.croak('column{} {} not found...'.format('s' if len(missing_labels) > 1 else '',', '.join(missing_labels)))
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@ -106,5 +107,3 @@ for name in filenames:
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# ------------------------------------------ output finalization -----------------------------------
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# ------------------------------------------ output finalization -----------------------------------
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table.close() # close ASCII tables
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table.close() # close ASCII tables
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mappedTable.close() # close mapped input ASCII table
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@ -0,0 +1,108 @@
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#!/usr/bin/env python2.7
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# -*- coding: UTF-8 no BOM -*-
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import os,sys
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import numpy as np
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from optparse import OptionParser
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import damask
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Add data of selected column(s) from (first) row of second ASCIItable that shares the mapping column value.
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""", version = scriptID)
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parser.add_option('-c','--map',
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dest = 'map', nargs = 2,
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type = 'string', metavar = 'string string',
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help = 'column labels containing linked values')
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parser.add_option('-l','--label',
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dest = 'label',
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action = 'extend', metavar = '<string LIST>',
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help='column label(s) to be appended')
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parser.add_option('-a','--asciitable',
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dest = 'asciitable',
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type = 'string', metavar = 'string',
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help = 'indexed ASCIItable')
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parser.set_defaults()
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(options,filenames) = parser.parse_args()
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if options.label is None:
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parser.error('no data columns specified.')
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if options.map is None:
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parser.error('no mapping columns given.')
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# ------------------------------------------ process mapping ASCIItable ---------------------------
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if options.asciitable is not None and os.path.isfile(options.asciitable):
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mappedTable = damask.ASCIItable(name = options.asciitable,
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buffered = False,
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readonly = True)
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mappedTable.head_read() # read ASCII header info of mapped table
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if mappedTable.label_dimension(options.map[1]) != 1:
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parser.error('mapping column {} needs to be scalar valued.'.format(options.map[1]))
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missing_labels = mappedTable.data_readArray([options.map[1]]+options.label)
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mappedTable.close() # close mapped input ASCII table
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if len(missing_labels) > 0:
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damask.util.croak('column{} {} not found...'.format('s' if len(missing_labels) > 1 else '',', '.join(missing_labels)))
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else:
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parser.error('no indexed ASCIItable given.')
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try: table = damask.ASCIItable(name = name,
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buffered = False)
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except: continue
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damask.util.report(scriptName,name)
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# ------------------------------------------ read header ------------------------------------------
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table.head_read()
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# ------------------------------------------ sanity checks ----------------------------------------
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errors = []
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mappedColumn = table.label_index(options.map[0])
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if mappedColumn < 0: errors.append('mapping column {} not found.'.format(options.map[0]))
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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# ------------------------------------------ assemble header --------------------------------------
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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table.labels_append(mappedTable.labels(raw = True)[1:]) # extend with new labels (except for mapped column)
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table.head_write()
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# ------------------------------------------ process data ------------------------------------------
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outputAlive = True
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while outputAlive and table.data_read(): # read next data line of ASCII table
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try:
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table.data_append(mappedTable.data[np.argwhere(mappedTable.data[:,0] ==
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float(table.data[mappedColumn]))[0]]) # add data from first matching line
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except IndexError:
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table.data_append(np.nan*np.ones_like(mappedTable.data[0])) # or add NaNs
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outputAlive = table.data_write() # output processed line
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# ------------------------------------------ output finalization -----------------------------------
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table.close() # close ASCII tables
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