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  4. matrix.swapaxes()

numpy.matrix.swapaxes

matrix.swapaxes(axis1, axis2)

Return a view of the array with axis1 and axis2 interchanged.

Refer to numpy.swapaxes for full documentation.

See also

numpy.swapaxes
equivalent function

© 2008–2016 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.matrix.swapaxes.html

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numpy.polynomial.chebyshev.chebder()
numpy.polynomial.chebyshev.chebdiv()
numpy.polynomial.chebyshev.chebdomain
numpy.polynomial.chebyshev.chebfit()
numpy.polynomial.chebyshev.chebfromroots()
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numpy.polynomial.chebyshev.chebgrid3d()
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numpy.polynomial.chebyshev.chebpow()
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numpy.polynomial.hermite.hermval3d()
numpy.polynomial.hermite.hermvander()
numpy.polynomial.hermite.hermvander2d()
numpy.polynomial.hermite.hermvander3d()
numpy.polynomial.hermite.hermweight()
numpy.polynomial.hermite.hermx
numpy.polynomial.hermite.hermzero
numpy.polynomial.hermite.poly2herm()
numpy.polynomial.hermite_e.HermiteE()
numpy.polynomial.hermite_e.herme2poly()
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numpy.polynomial.hermite_e.hermecompanion()
numpy.polynomial.hermite_e.hermeder()
numpy.polynomial.hermite_e.hermediv()
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numpy.polynomial.hermite_e.hermegrid3d()
numpy.polynomial.hermite_e.hermeint()
numpy.polynomial.hermite_e.hermeline()
numpy.polynomial.hermite_e.hermemul()
numpy.polynomial.hermite_e.hermemulx()
numpy.polynomial.hermite_e.hermeone
numpy.polynomial.hermite_e.hermepow()
numpy.polynomial.hermite_e.hermeroots()
numpy.polynomial.hermite_e.hermesub()
numpy.polynomial.hermite_e.hermetrim()
numpy.polynomial.hermite_e.hermeval()
numpy.polynomial.hermite_e.hermeval2d()
numpy.polynomial.hermite_e.hermeval3d()
numpy.polynomial.hermite_e.hermevander()
numpy.polynomial.hermite_e.hermevander2d()
numpy.polynomial.hermite_e.hermevander3d()
numpy.polynomial.hermite_e.hermeweight()
numpy.polynomial.hermite_e.hermex
numpy.polynomial.hermite_e.hermezero
numpy.polynomial.hermite_e.poly2herme()
numpy.polynomial.laguerre.Laguerre()
numpy.polynomial.laguerre.lag2poly()
numpy.polynomial.laguerre.lagadd()
numpy.polynomial.laguerre.lagcompanion()
numpy.polynomial.laguerre.lagder()
numpy.polynomial.laguerre.lagdiv()
numpy.polynomial.laguerre.lagdomain
numpy.polynomial.laguerre.lagfit()
numpy.polynomial.laguerre.lagfromroots()
numpy.polynomial.laguerre.laggauss()
numpy.polynomial.laguerre.laggrid2d()
numpy.polynomial.laguerre.laggrid3d()
numpy.polynomial.laguerre.lagint()
numpy.polynomial.laguerre.lagline()
numpy.polynomial.laguerre.lagmul()
numpy.polynomial.laguerre.lagmulx()
numpy.polynomial.laguerre.lagone
numpy.polynomial.laguerre.lagpow()
numpy.polynomial.laguerre.lagroots()
numpy.polynomial.laguerre.lagsub()
numpy.polynomial.laguerre.lagtrim()
numpy.polynomial.laguerre.lagval()
numpy.polynomial.laguerre.lagval2d()
numpy.polynomial.laguerre.lagval3d()
numpy.polynomial.laguerre.lagvander()
numpy.polynomial.laguerre.lagvander2d()
numpy.polynomial.laguerre.lagvander3d()
numpy.polynomial.laguerre.lagweight()
numpy.polynomial.laguerre.lagx
numpy.polynomial.laguerre.lagzero
numpy.polynomial.laguerre.poly2lag()
numpy.polynomial.legendre.Legendre()
numpy.polynomial.legendre.leg2poly()
numpy.polynomial.legendre.legadd()
numpy.polynomial.legendre.legcompanion()
numpy.polynomial.legendre.legder()
numpy.polynomial.legendre.legdiv()
numpy.polynomial.legendre.legdomain
numpy.polynomial.legendre.legfit()
numpy.polynomial.legendre.legfromroots()
numpy.polynomial.legendre.leggauss()
numpy.polynomial.legendre.leggrid2d()
numpy.polynomial.legendre.leggrid3d()
numpy.polynomial.legendre.legint()
numpy.polynomial.legendre.legline()
numpy.polynomial.legendre.legmul()
numpy.polynomial.legendre.legmulx()
numpy.polynomial.legendre.legone
numpy.polynomial.legendre.legpow()
numpy.polynomial.legendre.legroots()
numpy.polynomial.legendre.legsub()
numpy.polynomial.legendre.legtrim()
numpy.polynomial.legendre.legval()
numpy.polynomial.legendre.legval2d()
numpy.polynomial.legendre.legval3d()
numpy.polynomial.legendre.legvander()
numpy.polynomial.legendre.legvander2d()
numpy.polynomial.legendre.legvander3d()
numpy.polynomial.legendre.legweight()
numpy.polynomial.legendre.legx
numpy.polynomial.legendre.legzero
numpy.polynomial.legendre.poly2leg()
numpy.polynomial.polynomial.Polynomial()
numpy.polynomial.polynomial.polyadd()
numpy.polynomial.polynomial.polycompanion()
numpy.polynomial.polynomial.polyder()
numpy.polynomial.polynomial.polydiv()
numpy.polynomial.polynomial.polydomain
numpy.polynomial.polynomial.polyfit()
numpy.polynomial.polynomial.polyfromroots()
numpy.polynomial.polynomial.polygrid2d()
numpy.polynomial.polynomial.polygrid3d()
numpy.polynomial.polynomial.polyint()
numpy.polynomial.polynomial.polyline()
numpy.polynomial.polynomial.polymul()
numpy.polynomial.polynomial.polymulx()
numpy.polynomial.polynomial.polyone
numpy.polynomial.polynomial.polypow()
numpy.polynomial.polynomial.polyroots()
numpy.polynomial.polynomial.polysub()
numpy.polynomial.polynomial.polytrim()
numpy.polynomial.polynomial.polyval()
numpy.polynomial.polynomial.polyval2d()
numpy.polynomial.polynomial.polyval3d()
numpy.polynomial.polynomial.polyvander()
numpy.polynomial.polynomial.polyvander2d()
numpy.polynomial.polynomial.polyvander3d()
numpy.polynomial.polynomial.polyx
numpy.polynomial.polynomial.polyzero
numpy.polysub()
numpy.polyval()
numpy.roots()
poly1d.__call__()
poly1d.deriv()
poly1d.integ()
poly1d.variable
Input and output
DataSource.abspath()
DataSource.exists()
DataSource.open()
memmap.flush()
memmap.shape
ndarray.tofile()
ndarray.tolist()
numpy.DataSource()
numpy.array2string()
numpy.array_repr()
numpy.array_str()
numpy.base_repr()
numpy.binary_repr()
numpy.fromregex()
numpy.fromstring()
numpy.genfromtxt()
numpy.get_printoptions()
numpy.load()
numpy.loadtxt()
numpy.memmap
numpy.save()
numpy.savetxt()
numpy.savez()
numpy.savez_compressed()
numpy.set_printoptions()
numpy.set_string_function()
Data type objects
dtype.__reduce__()
dtype.__setstate__()
dtype.alignment
dtype.byteorder
dtype.char
dtype.flags
dtype.itemsize
dtype.kind
dtype.num
dtype.type
Data type routines
dtype.base
dtype.descr
dtype.fields
dtype.hasobject
dtype.isalignedstruct
dtype.isbuiltin
dtype.isnative
dtype.metadata
dtype.name
dtype.names
dtype.newbyteorder()
dtype.shape
dtype.str
dtype.subdtype
iinfo.max
iinfo.min
numpy.MachAr()
numpy.can_cast()
numpy.common_type()
numpy.dtype
numpy.find_common_type()
numpy.finfo
numpy.format_parser()
numpy.iinfo()
numpy.issctype()
numpy.issubclass_()
numpy.issubdtype()
numpy.issubsctype()
numpy.min_scalar_type()
numpy.mintypecode()
numpy.obj2sctype()
numpy.promote_types()
numpy.result_type()
numpy.sctype2char()
numpy.typename()
Packaging
exec_command
numpy.distutils.cpuinfo.cpu
numpy.distutils.log.set_verbosity()
numpy.distutils.misc_util.Configuration()
numpy.distutils.misc_util.all_strings()
numpy.distutils.misc_util.allpath()
numpy.distutils.misc_util.appendpath()
numpy.distutils.misc_util.blue_text()
numpy.distutils.misc_util.cyan_text()
numpy.distutils.misc_util.cyg2win32()
numpy.distutils.misc_util.dict_append()
numpy.distutils.misc_util.dot_join()
numpy.distutils.misc_util.filter_sources()
numpy.distutils.misc_util.generate_config_py()
numpy.distutils.misc_util.get_cmd()
numpy.distutils.misc_util.get_dependencies()
numpy.distutils.misc_util.get_ext_source_files()
numpy.distutils.misc_util.get_numpy_include_dirs()
numpy.distutils.misc_util.get_script_files()
numpy.distutils.misc_util.green_text()
numpy.distutils.misc_util.has_cxx_sources()
numpy.distutils.misc_util.has_f_sources()
numpy.distutils.misc_util.is_local_src_dir()
numpy.distutils.misc_util.red_text()
numpy.distutils.misc_util.terminal_has_colors()
numpy.distutils.misc_util.yellow_text()
numpy.distutils.system_info.get_info()
numpy.distutils.system_info.get_standard_file()
Indexing routines
flatiter.coords
flatiter.copy()
flatiter.next
ndenumerate.next()
ndindex.ndincr()
ndindex.next()
nditer.copy()
nditer.debug_print()
nditer.enable_external_loop()
nditer.has_index
nditer.has_multi_index
nditer.index
nditer.iternext()
nditer.itersize
nditer.multi_index
nditer.next
nditer.operands
nditer.remove_axis()
nditer.remove_multi_index()
nditer.reset()
nditer.value
numpy.c_
numpy.choose()
numpy.compress()
numpy.diag()
numpy.diag_indices()
numpy.diag_indices_from()
numpy.diagonal()
numpy.fill_diagonal()
numpy.flatiter
numpy.indices()
numpy.ix_()
numpy.mask_indices()
numpy.ndenumerate()
numpy.ndindex()
numpy.nditer
numpy.ogrid
numpy.place()
numpy.put()
numpy.putmask()
numpy.r_
numpy.ravel_multi_index()
numpy.s_
numpy.select()
numpy.take()
numpy.tril_indices()
numpy.tril_indices_from()
numpy.triu_indices()
numpy.triu_indices_from()
numpy.unravel_index()
Scalars
generic.T
generic.__array__()
generic.__array_interface__
generic.__array_priority__
generic.__array_struct__
generic.__array_wrap__()
generic.__reduce__()
generic.__setstate__()
generic.all()
generic.any()
generic.argmax()
generic.argmin()
generic.argsort()
generic.astype()
generic.base
generic.byteswap()
generic.choose()
generic.clip()
generic.compress()
generic.conj()
generic.conjugate()
generic.copy()
generic.cumprod()
generic.cumsum()
generic.data
generic.diagonal()
generic.dtype
generic.dump()
generic.dumps()
generic.fill()
generic.flags
generic.flat
generic.flatten()
generic.getfield()
generic.imag
generic.item()
generic.itemset()
generic.itemsize
generic.max()
generic.mean()
generic.min()
generic.nbytes
generic.ndim
generic.newbyteorder()
generic.nonzero()
generic.prod()
generic.ptp()
generic.put()
generic.ravel()
generic.real
generic.repeat()
generic.reshape()
generic.resize()
generic.round()
generic.searchsorted()
generic.setfield()
generic.setflags()
generic.shape
generic.size
generic.sort()
generic.squeeze()
generic.std()
generic.strides
generic.sum()
generic.swapaxes()
generic.take()
generic.tobytes()
generic.tofile()
generic.tolist()
generic.tostring()
generic.trace()
generic.transpose()
generic.var()
generic.view()
numpy.generic
NumPy and Swig
Numpy and SWIG
is_array()
self.typeStr
Masked array operations
MaskedArray.all()
MaskedArray.anom()
MaskedArray.any()
MaskedArray.argmax()
MaskedArray.argmin()
MaskedArray.argsort()
MaskedArray.clip()
MaskedArray.compressed()
MaskedArray.copy()
MaskedArray.count()
MaskedArray.cumprod()
MaskedArray.cumsum()
MaskedArray.data
MaskedArray.fill_value
MaskedArray.filled()
MaskedArray.flatten()
MaskedArray.get_fill_value()
MaskedArray.harden_mask()
MaskedArray.mask
MaskedArray.max()
MaskedArray.mean()
MaskedArray.min()
MaskedArray.nonzero()
MaskedArray.prod()
MaskedArray.ptp()
MaskedArray.ravel()
MaskedArray.recordmask
MaskedArray.reshape()
MaskedArray.resize()
MaskedArray.round()
MaskedArray.set_fill_value()
MaskedArray.shrink_mask()
MaskedArray.soften_mask()
MaskedArray.sort()
MaskedArray.squeeze()
MaskedArray.std()
MaskedArray.sum()
MaskedArray.swapaxes()
MaskedArray.tobytes()
MaskedArray.tofile()
MaskedArray.tolist()
MaskedArray.torecords()
MaskedArray.trace()
MaskedArray.transpose()
MaskedArray.unshare_mask()
MaskedArray.var()
masked_array.mask
numpy.ma.MaskType
numpy.ma.all()
numpy.ma.allclose()
numpy.ma.allequal()
numpy.ma.anom()
numpy.ma.anomalies()
numpy.ma.any()
numpy.ma.append()
numpy.ma.apply_along_axis()
numpy.ma.arange()
numpy.ma.argmax()
numpy.ma.argmin()
numpy.ma.argsort()
numpy.ma.around
numpy.ma.array()
numpy.ma.asanyarray()
numpy.ma.asarray()
numpy.ma.atleast_1d()
numpy.ma.atleast_2d()
numpy.ma.atleast_3d()
numpy.ma.average()
numpy.ma.choose()
numpy.ma.clip()
numpy.ma.clump_masked()
numpy.ma.clump_unmasked()
numpy.ma.column_stack()
numpy.ma.common_fill_value()
numpy.ma.compress_cols()
numpy.ma.compress_rowcols()
numpy.ma.compress_rows()
numpy.ma.compressed()
numpy.ma.concatenate()
numpy.ma.conjugate()
numpy.ma.copy
numpy.ma.corrcoef()
numpy.ma.count()
numpy.ma.count_masked()
numpy.ma.cov()
numpy.ma.cumprod()
numpy.ma.cumsum()
numpy.ma.default_fill_value()
numpy.ma.diag()
numpy.ma.dot()
numpy.ma.dstack()
numpy.ma.dump()
numpy.ma.dumps()
numpy.ma.ediff1d()
numpy.ma.empty()
numpy.ma.empty_like()
numpy.ma.expand_dims()
numpy.ma.filled()
numpy.ma.fix_invalid()
numpy.ma.flatnotmasked_contiguous()
numpy.ma.flatnotmasked_edges()
numpy.ma.frombuffer()
numpy.ma.fromfunction()
numpy.ma.getdata()
numpy.ma.getmask()
numpy.ma.getmaskarray()
numpy.ma.harden_mask()
numpy.ma.hsplit()
numpy.ma.hstack()
numpy.ma.identity()
numpy.ma.indices()
numpy.ma.inner()
numpy.ma.innerproduct()
numpy.ma.is_mask()
numpy.ma.is_masked()
numpy.ma.load()
numpy.ma.loads()
numpy.ma.make_mask()
numpy.ma.make_mask_descr()
numpy.ma.make_mask_none()
numpy.ma.mask_cols()
numpy.ma.mask_or()
numpy.ma.mask_rowcols()
numpy.ma.mask_rows()
numpy.ma.masked_all()
numpy.ma.masked_all_like()
numpy.ma.masked_array
numpy.ma.masked_equal()
numpy.ma.masked_greater()
numpy.ma.masked_greater_equal()
numpy.ma.masked_inside()
numpy.ma.masked_invalid()
numpy.ma.masked_less()
numpy.ma.masked_less_equal()
numpy.ma.masked_not_equal()
numpy.ma.masked_object()
numpy.ma.masked_outside()
numpy.ma.masked_values()
numpy.ma.masked_where()
numpy.ma.max()
numpy.ma.maximum_fill_value()
numpy.ma.mean()
numpy.ma.median()
numpy.ma.min()
numpy.ma.mr_
numpy.ma.nonzero()
numpy.ma.notmasked_contiguous()
numpy.ma.notmasked_edges()
numpy.ma.ones()
numpy.ma.outer()
numpy.ma.outerproduct()
numpy.ma.polyfit()
numpy.ma.power()
numpy.ma.prod()
numpy.ma.ptp()
numpy.ma.ravel()
numpy.ma.reshape()
numpy.ma.resize()
numpy.ma.round()
numpy.ma.row_stack()
numpy.ma.set_fill_value()
numpy.ma.shape()
numpy.ma.size()
numpy.ma.soften_mask()
numpy.ma.sort()
numpy.ma.squeeze()
numpy.ma.std()
numpy.ma.sum()
numpy.ma.swapaxes
numpy.ma.trace()
numpy.ma.transpose()
numpy.ma.vander()
numpy.ma.var()
numpy.ma.vstack()
numpy.ma.where()
numpy.ma.zeros()
Masked arrays
MaskedArray.T
MaskedArray.__abs__()
MaskedArray.__add__()
MaskedArray.__and__
MaskedArray.__array__()
MaskedArray.__array_priority__
MaskedArray.__array_wrap__()
MaskedArray.__contains__
MaskedArray.__copy__()
MaskedArray.__deepcopy__()
MaskedArray.__delitem__
MaskedArray.__div__()
MaskedArray.__divmod__()
MaskedArray.__eq__()
MaskedArray.__float__()
MaskedArray.__floordiv__()
MaskedArray.__ge__
MaskedArray.__getitem__()
MaskedArray.__getslice__()
MaskedArray.__getstate__()
MaskedArray.__gt__
MaskedArray.__hex__()
MaskedArray.__iadd__()
MaskedArray.__iand__
MaskedArray.__idiv__()
MaskedArray.__ifloordiv__()
MaskedArray.__ilshift__
MaskedArray.__imod__
MaskedArray.__imul__()
MaskedArray.__int__()
MaskedArray.__ior__
MaskedArray.__ipow__()
MaskedArray.__irshift__
MaskedArray.__isub__()
MaskedArray.__itruediv__()
MaskedArray.__ixor__
MaskedArray.__le__
MaskedArray.__len__()
MaskedArray.__long__()
MaskedArray.__lshift__
MaskedArray.__lt__
MaskedArray.__mod__
MaskedArray.__mul__()
MaskedArray.__ne__()
MaskedArray.__nonzero__
MaskedArray.__oct__()
MaskedArray.__or__
MaskedArray.__pow__()
MaskedArray.__radd__()
MaskedArray.__rand__
MaskedArray.__rdiv__
MaskedArray.__rdivmod__()
MaskedArray.__reduce__()
MaskedArray.__repr__()
MaskedArray.__rfloordiv__()
MaskedArray.__rlshift__
MaskedArray.__rmod__
MaskedArray.__rmul__()
MaskedArray.__ror__
MaskedArray.__rpow__()
MaskedArray.__rrshift__
MaskedArray.__rshift__
MaskedArray.__rsub__()
MaskedArray.__rtruediv__()
MaskedArray.__rxor__
MaskedArray.__setitem__()
MaskedArray.__setmask__()
MaskedArray.__setslice__()
MaskedArray.__setstate__()
MaskedArray.__str__()
MaskedArray.__sub__()
MaskedArray.__truediv__()
MaskedArray.__xor__
MaskedArray.astype()
MaskedArray.base
MaskedArray.byteswap()
MaskedArray.choose()
MaskedArray.compress()
MaskedArray.conj()
MaskedArray.conjugate()
MaskedArray.ctypes
MaskedArray.diagonal()
MaskedArray.dtype
MaskedArray.dump()
MaskedArray.dumps()
MaskedArray.fill()
MaskedArray.flags
MaskedArray.flat
MaskedArray.ids()
MaskedArray.imag
MaskedArray.iscontiguous()
MaskedArray.item()
MaskedArray.itemsize
MaskedArray.nbytes
MaskedArray.ndim
MaskedArray.product()
MaskedArray.put()
MaskedArray.real
MaskedArray.repeat()
MaskedArray.searchsorted()
MaskedArray.shape
MaskedArray.size
MaskedArray.strides
MaskedArray.take()
MaskedArray.toflex()
MaskedArray.tostring()
MaskedArray.view()
The numpy.ma module
numpy.ma.masked
static MaskedArray.__new__()
The n-dimensional array
ndarray.__abs__()
ndarray.__add__
ndarray.__and__
ndarray.__array__()
ndarray.__array_wrap__()
ndarray.__contains__
ndarray.__copy__()
ndarray.__deepcopy__()
ndarray.__div__
ndarray.__divmod__()
ndarray.__eq__
ndarray.__float__()
ndarray.__floordiv__
ndarray.__ge__
ndarray.__getitem__
ndarray.__getslice__
ndarray.__gt__
ndarray.__hex__()
ndarray.__iadd__
ndarray.__iand__
ndarray.__idiv__
ndarray.__ifloordiv__
ndarray.__ilshift__
ndarray.__imod__
ndarray.__imul__
ndarray.__int__()
ndarray.__invert__
ndarray.__ior__
ndarray.__ipow__
ndarray.__irshift__
ndarray.__isub__
ndarray.__itruediv__
ndarray.__ixor__
ndarray.__le__
ndarray.__len__()
ndarray.__long__()
ndarray.__lshift__
ndarray.__lt__
ndarray.__mod__
ndarray.__mul__
ndarray.__ne__
ndarray.__neg__
ndarray.__nonzero__
ndarray.__oct__()
ndarray.__or__
ndarray.__pos__
ndarray.__pow__()
ndarray.__reduce__()
ndarray.__repr__()
ndarray.__rshift__
ndarray.__setitem__
ndarray.__setslice__
ndarray.__setstate__()
ndarray.__str__()
ndarray.__sub__
ndarray.__truediv__
ndarray.__xor__
ndarray.all()
ndarray.any()
ndarray.argmax()
ndarray.argmin()
ndarray.argpartition()
ndarray.argsort()
ndarray.astype()
ndarray.base
ndarray.byteswap()
ndarray.choose()
ndarray.clip()
ndarray.compress()
ndarray.conj()
ndarray.conjugate()
ndarray.copy()
ndarray.ctypes
ndarray.cumprod()
ndarray.cumsum()
ndarray.data
ndarray.diagonal()
ndarray.dot()
ndarray.dtype
ndarray.dump()
ndarray.dumps()
ndarray.fill()
ndarray.flags
ndarray.getfield()
ndarray.imag
ndarray.item()
ndarray.itemset()
ndarray.itemsize
ndarray.max()
ndarray.mean()
ndarray.min()
ndarray.nbytes
ndarray.ndim
ndarray.newbyteorder()
ndarray.nonzero()
ndarray.partition()
ndarray.prod()
ndarray.ptp()
ndarray.put()
ndarray.ravel()
ndarray.real
ndarray.repeat()
ndarray.reshape()
ndarray.resize()
ndarray.round()
ndarray.searchsorted()
ndarray.setfield()
ndarray.setflags()
ndarray.shape
ndarray.size
ndarray.squeeze()
ndarray.std()
ndarray.strides
ndarray.sum()
ndarray.swapaxes()
ndarray.take()
ndarray.tobytes()
ndarray.tostring()
ndarray.trace()
ndarray.transpose()
ndarray.var()
ndarray.view()
numpy.ndarray
static ndarray.__new__()
Sorting, searching, and counting
ndarray.sort()
numpy.argmax()
numpy.argmin()
numpy.argpartition()
numpy.argsort()
numpy.argwhere()
numpy.count_nonzero()
numpy.extract()
numpy.flatnonzero()
numpy.lexsort()
numpy.msort()
numpy.nanargmax()
numpy.nanargmin()
numpy.nonzero()
numpy.partition()
numpy.searchsorted()
numpy.sort()
numpy.sort_complex()
numpy.where()
NumPy internals
Numpy C Code Explanations
Numpy internals
Miscellaneous routines
numpy.alterdot()
numpy.getbuffer()
numpy.getbufsize()
numpy.newbuffer()
numpy.restoredot()
numpy.setbufsize()
Statistics
numpy.amax()
numpy.amin()
numpy.average()
numpy.bincount()
numpy.corrcoef()
numpy.correlate()
numpy.cov()
numpy.digitize()
numpy.histogram()
numpy.histogram2d()
numpy.histogramdd()
numpy.mean()
numpy.median()
numpy.nanmax()
numpy.nanmean()
numpy.nanmedian()
numpy.nanmin()
numpy.nanpercentile()
numpy.nanstd()
numpy.nanvar()
numpy.percentile()
numpy.ptp()
numpy.std()
numpy.var()
Array creation routines
numpy.arange()
numpy.array()
numpy.bmat()
numpy.copy()
numpy.core.defchararray.array()
numpy.core.defchararray.asarray()
numpy.core.records.array()
numpy.core.records.fromarrays()
numpy.core.records.fromfile()
numpy.core.records.fromrecords()
numpy.core.records.fromstring()
numpy.diagflat()
numpy.empty()
numpy.empty_like()
numpy.eye()
numpy.frombuffer()
numpy.fromfile()
numpy.fromfunction()
numpy.fromiter()
numpy.full()
numpy.full_like()
numpy.identity()
numpy.linspace()
numpy.logspace()
numpy.mat()
numpy.meshgrid()
numpy.mgrid
numpy.ones()
numpy.ones_like()
numpy.tri()
numpy.tril()
numpy.triu()
numpy.vander()
numpy.zeros()
numpy.zeros_like()
Binary operations
numpy.bitwise_and()
numpy.bitwise_or()
numpy.bitwise_xor()
numpy.invert()
numpy.left_shift()
numpy.packbits()
numpy.right_shift()
numpy.unpackbits()
Linear algebra
numpy.dot()
numpy.einsum()
numpy.inner()
numpy.kron()
numpy.linalg.LinAlgError
numpy.linalg.cholesky()
numpy.linalg.cond()
numpy.linalg.det()
numpy.linalg.eig()
numpy.linalg.eigh()
numpy.linalg.eigvals()
numpy.linalg.eigvalsh()
numpy.linalg.inv()
numpy.linalg.lstsq()
numpy.linalg.matrix_power()
numpy.linalg.matrix_rank()
numpy.linalg.norm()
numpy.linalg.pinv()
numpy.linalg.qr()
numpy.linalg.slogdet()
numpy.linalg.solve()
numpy.linalg.svd()
numpy.linalg.tensorinv()
numpy.linalg.tensorsolve()
numpy.matmul()
numpy.outer()
numpy.tensordot()
numpy.trace()
numpy.vdot()
Floating point error handling
numpy.errstate()
numpy.geterr()
numpy.geterrcall()
numpy.geterrobj()
numpy.seterr()
numpy.seterrcall()
numpy.seterrobj()
Discrete fourier transform
numpy.fft.fft()
numpy.fft.fft2()
numpy.fft.fftfreq()
numpy.fft.fftn()
numpy.fft.fftshift()
numpy.fft.hfft()
numpy.fft.ifft()
numpy.fft.ifft2()
numpy.fft.ifftn()
numpy.fft.ifftshift()
numpy.fft.ihfft()
numpy.fft.irfft()
numpy.fft.irfft2()
numpy.fft.irfftn()
numpy.fft.rfft()
numpy.fft.rfft2()
numpy.fft.rfftfreq()
numpy.fft.rfftn()
Set routines
numpy.in1d()
numpy.intersect1d()
numpy.setdiff1d()
numpy.setxor1d()
numpy.union1d()
numpy.unique()
Matrix library
numpy.matlib.empty()
numpy.matlib.eye()
numpy.matlib.identity()
numpy.matlib.ones()
numpy.matlib.rand()
numpy.matlib.randn()
numpy.matlib.repmat()
numpy.matlib.zeros()
Padding arrays
numpy.pad()
Random sampling
RandomState.beta()
RandomState.binomial()
RandomState.bytes()
RandomState.chisquare()
RandomState.choice()
RandomState.dirichlet()
RandomState.exponential()
RandomState.f()
RandomState.gamma()
RandomState.geometric()
RandomState.get_state()
RandomState.gumbel()
RandomState.hypergeometric()
RandomState.laplace()
RandomState.logistic()
RandomState.lognormal()
RandomState.logseries()
RandomState.multinomial()
RandomState.multivariate_normal()
RandomState.negative_binomial()
RandomState.noncentral_chisquare()
RandomState.noncentral_f()
RandomState.normal()
RandomState.pareto()
RandomState.permutation()
RandomState.poisson()
RandomState.power()
RandomState.rand()
RandomState.randint()
RandomState.randn()
RandomState.random_integers()
RandomState.random_sample()
RandomState.rayleigh()
RandomState.seed()
RandomState.set_state()
RandomState.shuffle()
RandomState.standard_cauchy()
RandomState.standard_exponential()
RandomState.standard_gamma()
RandomState.standard_normal()
RandomState.standard_t()
RandomState.tomaxint()
RandomState.triangular()
RandomState.uniform()
RandomState.vonmises()
RandomState.wald()
RandomState.weibull()
RandomState.zipf()
numpy.random.RandomState
numpy.random.beta()
numpy.random.binomial()
numpy.random.bytes()
numpy.random.chisquare()
numpy.random.choice()
numpy.random.dirichlet()
numpy.random.exponential()
numpy.random.f()
numpy.random.gamma()
numpy.random.geometric()
numpy.random.get_state()
numpy.random.gumbel()
numpy.random.hypergeometric()
numpy.random.laplace()
numpy.random.logistic()
numpy.random.lognormal()
numpy.random.logseries()
numpy.random.multinomial()
numpy.random.multivariate_normal()
numpy.random.negative_binomial()
numpy.random.noncentral_chisquare()
numpy.random.noncentral_f()
numpy.random.normal()
numpy.random.pareto()
numpy.random.permutation()
numpy.random.poisson()
numpy.random.power()
numpy.random.rand()
numpy.random.randint()
numpy.random.randn()
numpy.random.random()
numpy.random.random_integers()
numpy.random.random_sample()
numpy.random.ranf()
numpy.random.rayleigh()
numpy.random.sample()
numpy.random.seed()
numpy.random.set_state()
numpy.random.shuffle()
numpy.random.standard_cauchy()
numpy.random.standard_exponential()
numpy.random.standard_gamma()
numpy.random.standard_normal()
numpy.random.standard_t()
numpy.random.triangular()
numpy.random.uniform()
numpy.random.vonmises()
numpy.random.wald()
numpy.random.weibull()
numpy.random.zipf()
Test support
numpy.testing.Tester
numpy.testing.assert_allclose()
numpy.testing.assert_almost_equal()
numpy.testing.assert_approx_equal()
numpy.testing.assert_array_almost_equal()
numpy.testing.assert_array_almost_equal_nulp()
numpy.testing.assert_array_equal()
numpy.testing.assert_array_less()
numpy.testing.assert_array_max_ulp()
numpy.testing.assert_equal()
numpy.testing.assert_raises()
numpy.testing.assert_raises_regex()
numpy.testing.assert_string_equal()
numpy.testing.assert_warns()
numpy.testing.decorate_methods()
numpy.testing.decorators.deprecated()
numpy.testing.decorators.knownfailureif()
numpy.testing.decorators.setastest()
numpy.testing.decorators.skipif()
numpy.testing.decorators.slow()
numpy.testing.run_module_suite()
numpy.testing.rundocs()
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