BINARY DATA, SCIPY, MIO (...again)
chr_w at gmx.de
chr_w at gmx.de
Mon Oct 15 04:51:45 EDT 2001
Hi.
I get this by typing the dir(types) command:
>>> dir(types)
['BufferType', 'BuiltinFunctionType', 'BuiltinMethodType', 'ClassType',
'CodeType', 'ComplexType', 'DictType', 'DictionaryType', 'EllipsisType',
'FileType', 'FloatType', 'FrameType', 'FunctionType', 'InstanceType', 'IntType',
'LambdaType', 'ListType', 'LongType', 'MethodType', 'ModuleType', 'NoneType',
'SliceType', 'StringType', 'TracebackType', 'TupleType', 'TypeType',
'UnboundMethodType', 'UnicodeType', 'XRangeType', '__builtins__', '__doc__', '__file__',
'__name__']
Can you give me any hints about how to use the fort_read (fortran read)
thing mentioned in the sparse docu of scipy.io.mio??? Am I doing it the right
way?
christian
> This seems strange. What happens if you start a vanilla python session
> and import the types module.
>
> Python 2.1 (#1, Jul 20 2001, 22:26:10)
> [GCC 2.95.4 20010319 (Debian prerelease)] on linux2
> Type "copyright", "credits" or "license" for more information.
> >>> import types
> >>> dir(types)
> ['BufferType', ... , 'ListType', ... , 'TupleType', ...]
>
> And your loop is definitely very slow. It would be better to
> fread(2000,'l') and create the two wanted arrays by slicing.
>
> HTH,
> __Janko
>
> --
> Institut fuer Meereskunde phone: 49-431-597 3989
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