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- numpy.ma.MaskType.diagonal
...numpy.ma.MaskType.diagonal...
- numpy.ma.MaskType.diagonal (Python method, in numpy.ma.MaskType.diagonal)
- NumPy 1.10.0 Release Notes
...ises IndexError Using axis != 0 has raised a DeprecationWarning since NumPy 1.7, it now raises an error. np.ravel, np.diagonal and np.diag now preserve subtypes There was inconsistent behavior between x.ravel() and np.ravel(x), as well as...
- NumPy 1.11.0 Release Notes
...be used in all cases. np.trace now respects array subclasses This behaviour mimics that of other functions such as np.diagonal and ensures, e.g., that for masked arrays np.trace(ma) and ma.trace() give the same result. np.dot now raises...
- NumPy 1.9.0 Release Notes
...k because, e.g., ‘1.9’ > ‘1.10’ is True. A NumpyVersion class has been added that can be used for such comparisons. The diagonal and diag functions will return writeable views in 1.10.0 The S and/or a dtypes may be changed to represent Pyth...
- NumPy 2.0.0 Release Notes
...perate on unicode or byte strings and are used in np.char. They operate similar to str.find and str.rfind. (gh-24868) diagonal and trace for numpy.linalg numpy.linalg.diagonal and numpy.linalg.trace have been added, which are array API st...
- numpy.ma.diag
...numpy.ma.diag ma.diag(v, k=0)[source] Extract a diagonal or construct a diagonal array. This function is the equivalent of numpy.diag that takes masked values into acco...
- numpy.ma.diagflat
...diagflat = <numpy.ma.extras._fromnxfunction_single object> Create a two-dimensional array with the flattened input as a diagonal. Parameters: varray_likeInput data, which is flattened and set as the k-th diagonal of the output. kint, opt...
- numpy.ma.identity
...numpy.ma.core._convert2ma object> Return the identity array. The identity array is a square array with ones on the main diagonal. Parameters: nintNumber of rows (and columns) in n x n output. dtypedata-type, optionalData-type of the outp...
- 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.diagonal
...numpy.ma.masked_array.diagonal...
- numpy.ma.masked_array.trace
...ray.trace method ma.masked_array.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None)[source] Return the sum along diagonals of the array. Refer to numpy.trace for full documentation. See also numpy.traceequivalent function...
- numpy.ma.MaskedArray.diagonal
...Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.diagonal...
- numpy.ma.MaskedArray.trace
...rray.trace method ma.MaskedArray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None)[source] Return the sum along diagonals of the array. Refer to numpy.trace for full documentation. See also numpy.traceequivalent function...
- 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.itemset...
- numpy.ma.MaskType.itemsize
...numpy.ma.MaskType.itemsize...
- numpy.ma.MaskType.max
...numpy.ma.MaskType.max...
- numpy.ma.MaskType.mean
...numpy.ma.MaskType.mean...
- numpy.ma.MaskType.min
...numpy.ma.MaskType.min...
- numpy.ma.MaskType.nbytes
...numpy.ma.MaskType.nbytes...
- numpy.ma.MaskType.ndim
...numpy.ma.MaskType.ndim...
- numpy.ma.MaskType.newbyteorder
...numpy.ma.MaskType.newbyteorder...
- numpy.ma.MaskType.nonzero
...numpy.ma.MaskType.nonzero...
- numpy.ma.MaskType.prod
...numpy.ma.MaskType.prod...
- numpy.ma.MaskType.ptp
...numpy.ma.MaskType.ptp...
- numpy.ma.MaskType.put
...numpy.ma.MaskType.put...
- numpy.ma.MaskType.ravel
...numpy.ma.MaskType.ravel...
- numpy.ma.MaskType.real
...numpy.ma.MaskType.real...
- numpy.ma.MaskType.repeat
...numpy.ma.MaskType.repeat...
- numpy.ma.MaskType.reshape
...numpy.ma.MaskType.reshape...
- numpy.ma.MaskType.resize
...numpy.ma.MaskType.resize...
- numpy.ma.MaskType.round
...numpy.ma.MaskType.round...
- numpy.ma.MaskType.searchsorted
...numpy.ma.MaskType.searchsorted...
- numpy.ma.MaskType.setfield
...numpy.ma.MaskType.setfield...
- numpy.ma.MaskType.setflags
...numpy.ma.MaskType.setflags...
- numpy.ma.MaskType.shape
...numpy.ma.MaskType.shape...
- numpy.ma.MaskType.size
...numpy.ma.MaskType.size...
- numpy.ma.MaskType.sort
...numpy.ma.MaskType.sort...
- numpy.ma.MaskType.squeeze
...numpy.ma.MaskType.squeeze...
- numpy.ma.MaskType.std
...numpy.ma.MaskType.std...
- numpy.ma.MaskType.strides
...numpy.ma.MaskType.strides...
- numpy.ma.MaskType.sum
...numpy.ma.MaskType.sum...
- numpy.ma.MaskType.swapaxes
...numpy.ma.MaskType.swapaxes...
- numpy.ma.MaskType.T
...numpy.ma.MaskType.T...
- numpy.ma.MaskType.take
...numpy.ma.MaskType.take...
- numpy.ma.MaskType.to_device
...numpy.ma.MaskType.to_device...
- numpy.ma.MaskType.tobytes
...numpy.ma.MaskType.tobytes...
- numpy.ma.MaskType.tofile
...numpy.ma.MaskType.tofile...
- numpy.ma.MaskType.tolist
...numpy.ma.MaskType.tolist...
- numpy.ma.MaskType.tostring
...numpy.ma.MaskType.tostring...
- numpy.ma.MaskType.trace
...numpy.ma.MaskType.trace...
- numpy.ma.MaskType.transpose
...numpy.ma.MaskType.transpose...
- numpy.ma.MaskType.var
...numpy.ma.MaskType.var...
- numpy.ma.MaskType.view
...numpy.ma.MaskType.view...
- numpy.ma.polyfit
..., K)Present only if full == False and cov == True. The covariance matrix of the polynomial coefficient estimates. The diagonal of this matrix are the variance estimates for each coefficient. If y is a 2-D array, then the covariance matri...
- numpy.ma.trace
...e) a.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) = <numpy.ma.core._frommethod object> Return the sum along diagonals of the array. Refer to numpy.trace for full documentation. See also numpy.traceequivalent function...