4.77 sddsnormalize

• description: sddsnormalize performs various normalizations of column data.
• examples:
      sddsnormalize data.sdds norm.sdds -columns=mode=spread,column1,column2  
      sddsnormalize data.sdds -columns=suffix=Norm,mode=largest,column1 -pipe=out  
      

• synopsis:
      sddsnormalize [inputFile] [outputFile] [-pipe[=input][,output]]  
        -columns=[mode=mode][,suffix=string][,exclude=wildcardString],columnName[,columnName...]  
      

• switches:
  • -pipe[=input][,output] — The standard SDDS Toolkit pipe option.
  • -columns=[mode=mode][,suffix=string][,exclude=wildcardString],columnName[,columnName...] — Any number of these options may be given. Each specifies columns to normalize and in what mode. mode may be one of minimum, maximum, largest, signedLargest, or spread, referring to the factor used for normalization. largest (the default) is the maximum absolute value; signedLargest is the same value but with the sign restored; spread is the maximum minus the minimum. Each columnName qualifier gives a possibly wildcarded string specifying columns to normalize. exclude may be used to exclude columns from normalization that are matched by a columnName. The suffix qualifier optionally specifies a suffix to be appended to each column name, to create a new column for the output file; if not given, then the original data are replaced with the normalized data.
• files: inputFile is an SDDS file containing data to be processed. The outputFile argument is optional. If it is not given, and if an output pipe is not selected, then the input file will be replaced.
• see also: sddsprocess()
• author: M. Borland, ANL/APS.