exchanged string 'n/a' for 'nan' to allow smooth parsing as float value
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@ -431,7 +431,7 @@ def mapIncremental(label, mapping, N, base, new):
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'avgabs': lambda n,b,a: (n*b+abs(a))/(n+1),
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'sum': lambda n,b,a: a if n==0 else b+a,
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'sumabs': lambda n,b,a: abs(a) if n==0 else b+abs(a),
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'unique': lambda n,b,a: a if n==0 or b==a else 'n/a'
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'unique': lambda n,b,a: a if n==0 or b==a else 'nan'
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}
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if mapping in theMap:
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mapped = map(theMap[mapping],[N]*len(base),base,new) # map one of the standard functions to data
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@ -442,7 +442,7 @@ def mapIncremental(label, mapping, N, base, new):
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try:
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mapped = eval('map(%s,[N]*len(base),base,new)'%mapping) # map user defined function to colums in chunks
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except:
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mapped = ['n/a']*len(base)
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mapped = ['nan']*len(base)
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return mapped
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