Travis Oliphant wrote:
Colin J. Williams wrote:
One of the deprecated names is ArrayType. This seems to be closer to the Python style than ndarray.
Not really. I agree with what you say below, but doesn't ArrayType have a greater similarity to the Python types than ndarray?
[Dbg]>>> import types [Dbg]>>> dir(types) ['BooleanType', 'BufferType', 'BuiltinFunctionType', 'BuiltinMethodType', 'ClassType', 'CodeType', 'ComplexType', 'DictProxyType', 'DictType', 'DictionaryType', 'EllipsisType', 'FileType', 'FloatType', 'FrameType', 'FunctionType', 'GeneratorType', 'Instance Type', 'IntType', 'LambdaType', 'ListType', 'LongType', 'MethodType', 'ModuleType', 'NoneType', 'NotImplementedType', 'ObjectType', 'SliceType', 'StringType', 'StringTypes', 'TracebackType', 'TupleType', 'TypeType', 'UnboundMethodType', 'UnicodeType', 'XRan geType', '__builtins__', '__doc__', '__file__', '__name__'] [Dbg]>>> I presume that the aim is still that numpy will become a part of the Python offering. Colin W.
Rather than test: type(var) == types.IntType you should be testing isinstance(var, int)
just like rather than testing type(somearray) == ArrayType
you should be testing isinstance(somearray, ndarray)
Python style has changed a bit since 2.2 allowed sub-typing builtings
-Travis