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• numpy.ma.MaskType.resize

  ...numpy.ma.MaskType.resize...

• numpy.ma.MaskType.resize (Python method, in numpy.ma.MaskType.resize)
• Constants of the numpy.ma module

  ...order]) Return the array data as a string containing the raw bytes in the array. Shape manipulation For reshape, resize, and transpose, the single tuple argument may be replaced with n integers which will be interpreted as an n-tuple...

• NumPy 1.14.0 Release Notes

  ...e to work with these, but the following operations are now supported for these arrays: arr.sort() arr.view(bytes) arr.resize(…) pickle.dumps(arr) Support for decimal.Decimal in np.lib.financial Unless otherwise stated all functions wi...

• NumPy 2.1.0 Release Notes

  ...possible to crash NumPy by mutating an array simultaneously in multiple threads, for example by calling a ufunc and the resize method simultaneously. For now our guidance is: “don’t do that”. In the future we would like to provide stronger...

• numpy.ma.expand_dims

  ...e also squeezeThe inverse operation, removing singleton dimensions reshapeInsert, remove, and combine dimensions, and resize existing ones atleast_1d, atleast_2d, atleast_3d Examples >>> import numpy as np >>> x = np.array([1, 2]) >>>...

• 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.resize

  ...numpy.ma.masked_array.resize...

• numpy.ma.MaskedArray.resize
• numpy.ma.MaskType

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.MaskType...

• numpy.ma.MaskType.all

  ...numpy.ma.MaskType.all...

• numpy.ma.MaskType.any

  ...numpy.ma.MaskType.any...

• numpy.ma.MaskType.argmax

  ...numpy.ma.MaskType.argmax...

• numpy.ma.MaskType.argmin

  ...numpy.ma.MaskType.argmin...

• numpy.ma.MaskType.argsort

  ...numpy.ma.MaskType.argsort...

• numpy.ma.MaskType.astype

  ...numpy.ma.MaskType.astype...

• numpy.ma.MaskType.base

  ...numpy.ma.MaskType.base...

• numpy.ma.MaskType.byteswap

  ...numpy.ma.MaskType.byteswap...

• numpy.ma.MaskType.choose

  ...numpy.ma.MaskType.choose...

• numpy.ma.MaskType.clip

  ...numpy.ma.MaskType.clip...

• numpy.ma.MaskType.compress

  ...numpy.ma.MaskType.compress...

• numpy.ma.MaskType.conj

  ...numpy.ma.MaskType.conj...

• numpy.ma.MaskType.conjugate

  ...numpy.ma.MaskType.conjugate...

• numpy.ma.MaskType.copy

  ...numpy.ma.MaskType.copy...

• numpy.ma.MaskType.cumprod

  ...numpy.ma.MaskType.cumprod...

• numpy.ma.MaskType.cumsum

  ...numpy.ma.MaskType.cumsum...

• numpy.ma.MaskType.data

  ...numpy.ma.MaskType.data...

• numpy.ma.MaskType.device

  ...numpy.ma.MaskType.device...

• numpy.ma.MaskType.diagonal

  ...numpy.ma.MaskType.diagonal...

• numpy.ma.MaskType.dtype

  ...numpy.ma.MaskType.dtype...

• numpy.ma.MaskType.dump

  ...numpy.ma.MaskType.dump...

• numpy.ma.MaskType.dumps

  ...numpy.ma.MaskType.dumps...

• numpy.ma.MaskType.fill

  ...numpy.ma.MaskType.fill...

• numpy.ma.MaskType.flags

  ...numpy.ma.MaskType.flags...

• numpy.ma.MaskType.flat

  ...numpy.ma.MaskType.flat...

• numpy.ma.MaskType.flatten

  ...numpy.ma.MaskType.flatten...

• numpy.ma.MaskType.getfield

  ...numpy.ma.MaskType.getfield...

• numpy.ma.MaskType.imag

  ...numpy.ma.MaskType.imag...

• numpy.ma.MaskType.item

  ...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