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- numpy.ma.MaskType.tofile
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- numpy.ma.MaskType.tofile (Python method, in numpy.ma.MaskType.tofile)
- NumPy 1.11.0 Release Notes
.... Another optimization was done to avoid a memory peak and useless computations when printing a masked array. ndarray.tofile now uses fallocate on linux The function now uses the fallocate system call to reserve sufficient disk space on f...
- NumPy 1.9.0 Release Notes
...rray via np.array. If the overwrite_input option is used the input is only partially instead of fully sorted. ndarray.tofile exception type All tofile exceptions are now IOError, some were previously ValueError. Invalid fill value excep...
- numpy.ma.is_mask
...turn True if m is a valid, standard mask. This function does not check the contents of the input, only that the type is MaskType. In particular, this function returns False if the mask has a flexible dtype. Parameters: marray_likeArray to...
- numpy.ma.make_mask
...all its values are False. dtypedtype, optionalData-type of the output mask. By default, the output mask has a dtype of MaskType (bool). If the dtype is flexible, each field has a boolean dtype. This is ignored when m is nomask, in which ca...
- numpy.ma.make_mask_none
...type. Parameters: newshapetupleA tuple indicating the shape of the mask. dtype{None, dtype}, optionalIf None, use a MaskType instance. Otherwise, use a new datatype with the same fields as dtype, converted to boolean types. Returns:...
- numpy.ma.masked_array.tobytes
...(column major). ‘A’ – Any, current order of array. None – Same as ‘A’. See also numpy.ndarray.tobytes tolist, tofile Notes As for ndarray.tobytes, information about the shape, dtype, etc., but also about fill_value, will be lost...
- numpy.ma.masked_array.tofile
...numpy.ma.masked_array.tofile...
- numpy.ma.MaskedArray.tobytes
- numpy.ma.MaskedArray.tofile
- numpy.ma.MaskType
- numpy.ma.MaskType.all
- numpy.ma.MaskType.any
- numpy.ma.MaskType.argmax
- numpy.ma.MaskType.argmin
- numpy.ma.MaskType.argsort
- numpy.ma.MaskType.astype
- numpy.ma.MaskType.base
- numpy.ma.MaskType.byteswap
- numpy.ma.MaskType.choose
- numpy.ma.MaskType.clip
- numpy.ma.MaskType.compress
- numpy.ma.MaskType.conj
- numpy.ma.MaskType.conjugate
- numpy.ma.MaskType.copy
- numpy.ma.MaskType.cumprod
- numpy.ma.MaskType.cumsum
- numpy.ma.MaskType.data
- numpy.ma.MaskType.device
- numpy.ma.MaskType.diagonal
- numpy.ma.MaskType.dtype
- numpy.ma.MaskType.dump
- numpy.ma.MaskType.dumps
- numpy.ma.MaskType.fill
- numpy.ma.MaskType.flags
- numpy.ma.MaskType.flat
- numpy.ma.MaskType.flatten
- numpy.ma.MaskType.getfield
- numpy.ma.MaskType.imag
- numpy.ma.MaskType.item
- numpy.ma.MaskType.itemset
- numpy.ma.MaskType.itemsize
- numpy.ma.MaskType.max
- numpy.ma.MaskType.mean
- numpy.ma.MaskType.min
- numpy.ma.MaskType.nbytes
- numpy.ma.MaskType.ndim
- numpy.ma.MaskType.newbyteorder
- numpy.ma.MaskType.nonzero
- numpy.ma.MaskType.prod
- numpy.ma.MaskType.ptp
- numpy.ma.MaskType.put
- numpy.ma.MaskType.ravel
- numpy.ma.MaskType.real
- numpy.ma.MaskType.repeat
- numpy.ma.MaskType.reshape
- numpy.ma.MaskType.resize
- numpy.ma.MaskType.round
- numpy.ma.MaskType.searchsorted
- numpy.ma.MaskType.setfield