parameters: (self, **kwargs)
return_statement: return self.data_
docstring: Create a Wenner-alpha dataset.
  
          Don't use directly .. call create from DataSchemeManager or
          ert.createData(elecs, schemeName='wa', **kwargs) instead.
docstring_summary: Create a Wenner-alpha dataset.
docstring_tokens: Create a Wenner - alpha dataset .
function: def createData(self, **kwargs):
          """Create a Wenner-alpha dataset.
  
          Don't use directly .. call create from DataSchemeManager or
          ert.createData(elecs, schemeName='wa', **kwargs) instead.
          """
          nElectrodes = self.nElectrodes_
  
          maxSep = nElectrodes - 2
          if self.maxSeparation < maxSep:
              maxSep = self.maxSeparation
  
          # reserve a couple more than nesseccary !!!
          self.data_.resize(nElectrodes * nElectrodes)
  
          count = 0
  
          for sep in range(1, maxSep + 1):
              for i in range((nElectrodes - 2) - sep):
                  a = i
                  m = a + sep
                  n = m + sep
                  b = n + sep
                  count = self.createDatum_(a, b, m, n, count)
  
          self.data_.removeInvalid()
          return self.data_
function_tokens: def createData ( self , * * kwargs ) : nElectrodes = self . nElectrodes_ maxSep = nElectrodes - 2 if self . maxSeparation < maxSep : maxSep = self . maxSeparation # reserve a couple more than nesseccary !!! self . data_ . resize ( nElectrodes * nElectrodes ) count = 0 for sep in range ( 1 , maxSep + 1 ) : for i in range ( ( nElectrodes - 2 ) - sep ) : a = i m = a + sep n = m + sep b = n + sep count = self . createDatum_ ( a , b , m , n , count ) self . data_ . removeInvalid ( ) return self . data_