def iteratorFn(self, data):
## Return 1) a function that will provide an iterator for data and 2) a list of header strings
if isinstance(data, list) or isinstance(data, tuple):
return lambda d: d.__iter__(), None
elif isinstance(data, dict):
return lambda d: iter(d.values()), list(map(asUnicode, data.keys()))
elif (hasattr(data, 'implements') and data.implements('MetaArray')):
if data.axisHasColumns(0):
header = [asUnicode(data.columnName(0, i)) for i in range(data.shape[0])]
elif data.axisHasValues(0):
header = list(map(asUnicode, data.xvals(0)))
else:
header = None
return self.iterFirstAxis, header
elif isinstance(data, np.ndarray):
return self.iterFirstAxis, None
elif isinstance(data, np.void):
return self.iterate, list(map(asUnicode, data.dtype.names))
elif data is None:
return (None,None)
else:
msg = "Don't know how to iterate over data type: {!s}".format(type(data))
raise TypeError(msg)
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