Table of Contents

Array creation routines
- numpy.arange()
- numpy.array()
- numpy.asanyarray()
- numpy.asarray()
- numpy.ascontiguousarray()
- numpy.copy()
- 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.diag()
- numpy.diagflat()
- numpy.empty()
- numpy.empty_like()
- numpy.eye()
- numpy.frombuffer()
- numpy.fromfile()
- numpy.fromfunction()
- numpy.fromiter()
- numpy.fromstring()
- numpy.full()
- numpy.full_like()
- numpy.geomspace()
- numpy.identity()
- numpy.linspace()
- numpy.loadtxt()
- numpy.logspace()
- numpy.mat()
- numpy.meshgrid()
- numpy.mgrid
- numpy.ogrid
- numpy.ones()
- numpy.ones_like()
- numpy.tri()
- numpy.tril()
- numpy.triu()
- numpy.vander()
- numpy.zeros()
- numpy.zeros_like()
Array manipulation routines
- numpy.append()
- numpy.array_split()
- numpy.asarray_chkfinite()
- numpy.asfarray()
- numpy.asfortranarray()
- numpy.asscalar()
- numpy.atleast_1d()
- numpy.atleast_2d()
- numpy.atleast_3d()
- numpy.block()
- numpy.broadcast_arrays()
- numpy.broadcast_to()
- numpy.column_stack()
- numpy.concatenate()
- numpy.copyto()
- numpy.delete()
- numpy.dsplit()
- numpy.dstack()
- numpy.expand_dims()
- numpy.flip()
- numpy.fliplr()
- numpy.flipud()
- numpy.hsplit()
- numpy.hstack()
- numpy.insert()
- numpy.moveaxis()
- numpy.ravel()
- numpy.repeat()
- numpy.require()
- numpy.reshape()
- numpy.resize()
- numpy.roll()
- numpy.rollaxis()
- numpy.rot90()
- numpy.split()
- numpy.squeeze()
- numpy.stack()
- numpy.swapaxes()
- numpy.tile()
- numpy.transpose()
- numpy.trim_zeros()
- numpy.unique()
- numpy.vsplit()
- numpy.vstack()
Array objects
- Array objects
- class.__array_ufunc__()
- Data type objects (dtype)
- Datetimes and Timedeltas
- Iterating Over Arrays
- Masked arrays
- numpy.newaxis
- Scalars
- The N-dimensional array (ndarray)
- __array_interface__
Binary operations
- numpy.binary_repr()
- numpy.bitwise_and()
- numpy.bitwise_or()
- numpy.bitwise_xor()
- numpy.invert()
- numpy.left_shift()
- numpy.packbits()
- numpy.right_shift()
- numpy.unpackbits()
Data type objects
- dtype.alignment
- dtype.base
- dtype.byteorder
- dtype.char
- dtype.descr
- dtype.fields
- dtype.flags
- dtype.hasobject
- dtype.isalignedstruct
- dtype.isbuiltin
- dtype.isnative
- dtype.itemsize
- dtype.kind
- dtype.metadata
- dtype.name
- dtype.names
- dtype.ndim
- dtype.newbyteorder()
- dtype.num
- dtype.shape
- dtype.str
- dtype.subdtype
- dtype.type
- dtype.__reduce__()
- dtype.__setstate__()
- numpy.dtype
Data type routines
- iinfo.max
- iinfo.min
- numpy.can_cast()
- numpy.common_type()
- numpy.find_common_type()
- numpy.finfo
- numpy.format_parser()
- numpy.iinfo()
- numpy.issctype()
- numpy.issubclass_()
- numpy.issubdtype()
- numpy.issubsctype()
- numpy.MachAr()
- numpy.mintypecode()
- numpy.min_scalar_type()
- numpy.obj2sctype()
- numpy.promote_types()
- numpy.result_type()
- numpy.sctype2char()
- numpy.typename()
Datetime support functions
- busdaycalendar.holidays
- busdaycalendar.weekmask
- numpy.busdaycalendar
- numpy.busday_count()
- numpy.busday_offset()
- numpy.is_busday()
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()
Financial functions
- numpy.fv()
- numpy.ipmt()
- numpy.irr()
- numpy.mirr()
- numpy.nper()
- numpy.npv()
- numpy.pmt()
- numpy.ppmt()
- numpy.pv()
- numpy.rate()
Floating point error handling
- numpy.errstate()
- numpy.geterr()
- numpy.geterrcall()
- numpy.geterrobj()
- numpy.seterrobj()
Functional programming
- numpy.apply_along_axis()
- numpy.apply_over_axes()
- numpy.frompyfunc()
- numpy.piecewise()
- numpy.vectorize()
- vectorize.__call__()
Indexing routines
- Arrayterator.flat
- Arrayterator.shape
- flatiter.coords
- flatiter.copy()
- flatiter.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.choose()
- numpy.compress()
- numpy.c_
- numpy.diagonal()
- numpy.diag_indices()
- numpy.diag_indices_from()
- numpy.fill_diagonal()
- numpy.flatiter
- numpy.indices()
- numpy.ix_()
- numpy.lib.Arrayterator()
- numpy.lib.stride_tricks.as_strided()
- numpy.mask_indices()
- numpy.ndindex()
- numpy.nditer
- numpy.nonzero()
- numpy.place()
- numpy.put()
- numpy.putmask()
- numpy.ravel_multi_index()
- numpy.r_
- numpy.select()
- numpy.s_
- numpy.take()
- numpy.tril_indices()
- numpy.tril_indices_from()
- numpy.triu_indices()
- numpy.triu_indices_from()
- numpy.unravel_index()
- numpy.where()
Input and output
- DataSource.abspath()
- DataSource.exists()
- DataSource.open()
- memmap.shape
- numpy.array2string()
- numpy.array_repr()
- numpy.array_str()
- numpy.base_repr()
- numpy.DataSource()
- numpy.fromregex()
- numpy.genfromtxt()
- numpy.get_printoptions()
- numpy.load()
- numpy.save()
- numpy.savetxt()
- numpy.savez()
- numpy.savez_compressed()
- numpy.set_printoptions()
- numpy.set_string_function()
Linear algebra
- numpy.dot()
- numpy.einsum()
- numpy.inner()
- numpy.kron()
- 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.LinAlgError
- numpy.linalg.lstsq()
- numpy.linalg.matrix_power()
- numpy.linalg.matrix_rank()
- numpy.linalg.multi_dot()
- 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()
Logic functions
- numpy.all()
- numpy.allclose()
- numpy.any()
- numpy.array_equal()
- numpy.array_equiv()
- numpy.equal()
- numpy.greater()
- numpy.greater_equal()
- numpy.isclose()
- numpy.iscomplex()
- numpy.iscomplexobj()
- numpy.isfinite()
- numpy.isfortran()
- numpy.isinf()
- numpy.isnan()
- numpy.isneginf()
- numpy.isposinf()
- numpy.isreal()
- numpy.isrealobj()
- numpy.isscalar()
- numpy.less()
- numpy.less_equal()
- numpy.logical_and()
- numpy.logical_not()
- numpy.logical_or()
- numpy.logical_xor()
- numpy.not_equal()
Masked arrays
- Masked array operations
- MaskedArray.all()
- MaskedArray.anom()
- MaskedArray.any()
- MaskedArray.argmax()
- MaskedArray.argmin()
- MaskedArray.argsort()
- MaskedArray.astype()
- MaskedArray.base
- MaskedArray.byteswap()
- MaskedArray.choose()
- MaskedArray.clip()
- MaskedArray.compress()
- MaskedArray.compressed()
- MaskedArray.conj()
- MaskedArray.conjugate()
- MaskedArray.copy()
- MaskedArray.count()
- MaskedArray.ctypes
- MaskedArray.cumprod()
- MaskedArray.cumsum()
- MaskedArray.data
- MaskedArray.diagonal()
- MaskedArray.dtype
- MaskedArray.dump()
- MaskedArray.dumps()
- MaskedArray.fill()
- MaskedArray.filled()
- MaskedArray.fill_value
- MaskedArray.flags
- MaskedArray.flat
- MaskedArray.flatten()
- MaskedArray.get_fill_value()
- MaskedArray.harden_mask()
- MaskedArray.ids()
- MaskedArray.imag
- MaskedArray.iscontiguous()
- MaskedArray.item()
- MaskedArray.itemsize
- MaskedArray.mask
- MaskedArray.max()
- MaskedArray.mean()
- MaskedArray.min()
- MaskedArray.nbytes
- MaskedArray.ndim
- MaskedArray.nonzero()
- MaskedArray.prod()
- MaskedArray.product()
- MaskedArray.ptp()
- MaskedArray.put()
- MaskedArray.ravel()
- MaskedArray.real
- MaskedArray.recordmask
- MaskedArray.repeat()
- MaskedArray.reshape()
- MaskedArray.resize()
- MaskedArray.round()
- MaskedArray.searchsorted()
- MaskedArray.set_fill_value()
- MaskedArray.shape
- MaskedArray.shrink_mask()
- MaskedArray.size
- MaskedArray.soften_mask()
- MaskedArray.sort()
- MaskedArray.squeeze()
- MaskedArray.std()
- MaskedArray.strides
- MaskedArray.sum()
- MaskedArray.swapaxes()
- MaskedArray.T
- MaskedArray.take()
- MaskedArray.tobytes()
- MaskedArray.tofile()
- MaskedArray.toflex()
- MaskedArray.tolist()
- MaskedArray.torecords()
- MaskedArray.tostring()
- MaskedArray.trace()
- MaskedArray.transpose()
- MaskedArray.unshare_mask()
- MaskedArray.var()
- MaskedArray.view()
- MaskedArray.__abs__()
- MaskedArray.__add__()
- MaskedArray.__and__
- MaskedArray.__array_priority__
- MaskedArray.__array_wrap__()
- MaskedArray.__array__()
- MaskedArray.__contains__
- MaskedArray.__copy__()
- MaskedArray.__deepcopy__()
- MaskedArray.__delitem__
- MaskedArray.__divmod__()
- MaskedArray.__div__()
- MaskedArray.__eq__()
- MaskedArray.__float__()
- MaskedArray.__floordiv__()
- MaskedArray.__getitem__()
- MaskedArray.__getstate__()
- MaskedArray.__ge__
- 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.__len__()
- MaskedArray.__le__
- 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.__rdivmod__()
- MaskedArray.__rdiv__
- 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.__setstate__()
- MaskedArray.__str__()
- MaskedArray.__sub__()
- MaskedArray.__truediv__()
- MaskedArray.__xor__
- masked_array.mask
- 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.compressed()
- numpy.ma.compress_cols()
- numpy.ma.compress_rowcols()
- numpy.ma.compress_rows()
- 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.masked
- 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.MaskType
- numpy.ma.mask_cols()
- numpy.ma.mask_or()
- numpy.ma.mask_rowcols()
- numpy.ma.mask_rows()
- 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()
- static MaskedArray.__new__()
- The numpy.ma module
Mathematical functions
- numpy.absolute()
- numpy.add()
- numpy.angle()
- numpy.arccos()
- numpy.arccosh()
- numpy.arcsin()
- numpy.arcsinh()
- numpy.arctan()
- numpy.arctan2()
- numpy.arctanh()
- numpy.around()
- numpy.cbrt()
- numpy.ceil()
- numpy.clip()
- numpy.conj()
- numpy.convolve()
- numpy.copysign()
- numpy.cos()
- numpy.cosh()
- numpy.cross()
- numpy.cumprod()
- numpy.cumsum()
- numpy.deg2rad()
- numpy.degrees()
- numpy.diff()
- numpy.divide()
- numpy.divmod()
- numpy.ediff1d()
- numpy.exp()
- numpy.exp2()
- numpy.expm1()
- numpy.fabs()
- numpy.fix()
- numpy.float_power()
- numpy.floor()
- numpy.floor_divide()
- numpy.fmax()
- numpy.fmin()
- numpy.fmod()
- numpy.frexp()
- numpy.gradient()
- numpy.heaviside()
- numpy.hypot()
- numpy.i0()
- numpy.imag()
- numpy.interp()
- numpy.ldexp()
- numpy.log()
- numpy.log10()
- numpy.log1p()
- numpy.log2()
- numpy.logaddexp()
- numpy.logaddexp2()
- numpy.maximum()
- numpy.minimum()
- numpy.mod()
- numpy.modf()
- numpy.multiply()
- numpy.nancumprod()
- numpy.nancumsum()
- numpy.nanprod()
- numpy.nansum()
- numpy.nan_to_num()
- numpy.negative()
- numpy.nextafter()
- numpy.power()
- numpy.prod()
- numpy.rad2deg()
- numpy.radians()
- numpy.real()
- numpy.real_if_close()
- numpy.reciprocal()
- numpy.remainder()
- numpy.rint()
- numpy.round_()
- numpy.sign()
- numpy.signbit()
- numpy.sin()
- numpy.sinc()
- numpy.sinh()
- numpy.spacing()
- numpy.sqrt()
- numpy.square()
- numpy.subtract()
- numpy.sum()
- numpy.tan()
- numpy.tanh()
- numpy.trapz()
- numpy.true_divide()
- numpy.trunc()
- numpy.unwrap()
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()
Miscellaneous routines
- numpy.getbuffer()
- numpy.getbufsize()
- numpy.lib.mixins.NDArrayOperatorsMixin
- numpy.lib.NumpyVersion()
- numpy.may_share_memory()
- numpy.newbuffer()
- numpy.shares_memory()
NumPy and Swig
- is_array()
- NumPy and SWIG
- self.typeStr
NumPy C API
- C API Deprecations
- Elementary Function
- int PyArray_NDIM()
- NpyIter
- NPY_BOOL
- NPY_NAN
- NPY_SIZEOF_SHORT
- NumPy C-API
- PyArray_Type
- UFUNC_ERR_{HANDLER}
NumPy internals
- NumPy C Code Explanations
- NumPy internals
NumPy-specific help functions
- numpy.info()
- numpy.lookfor()
- numpy.source()
Packaging
- exec_command
- numpy.distutils.cpuinfo.cpu
- numpy.distutils.log.set_verbosity()
- numpy.distutils.misc_util.allpath()
- numpy.distutils.misc_util.all_strings()
- numpy.distutils.misc_util.appendpath()
- numpy.distutils.misc_util.blue_text()
- numpy.distutils.misc_util.Configuration()
- 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()
Padding arrays
- numpy.pad()
Polynomials
- Chebyshev Module (numpy.polynomial.chebyshev)
- Chebyshev.basis()
- Chebyshev.cast()
- Chebyshev.convert()
- Chebyshev.copy()
- Chebyshev.cutdeg()
- Chebyshev.degree()
- Chebyshev.deriv()
- Chebyshev.domain
- Chebyshev.fit()
- Chebyshev.fromroots()
- Chebyshev.has_samecoef()
- Chebyshev.has_samedomain()
- Chebyshev.has_sametype()
- Chebyshev.has_samewindow()
- Chebyshev.identity()
- Chebyshev.integ()
- Chebyshev.linspace()
- Chebyshev.mapparms()
- Chebyshev.roots()
- Chebyshev.trim()
- Chebyshev.truncate()
- Chebyshev.__call__()
- Hermite Module, “Physicists’” (numpy.polynomial.hermite)
- Hermite.basis()
- Hermite.cast()
- Hermite.convert()
- Hermite.copy()
- Hermite.cutdeg()
- Hermite.degree()
- Hermite.deriv()
- Hermite.domain
- Hermite.fit()
- Hermite.fromroots()
- Hermite.has_samecoef()
- Hermite.has_samedomain()
- Hermite.has_sametype()
- Hermite.has_samewindow()
- Hermite.identity()
- Hermite.integ()
- Hermite.linspace()
- Hermite.mapparms()
- Hermite.roots()
- Hermite.trim()
- Hermite.truncate()
- Hermite.__call__()
- HermiteE Module, “Probabilists’” (numpy.polynomial.hermite_e)
- HermiteE.basis()
- HermiteE.cast()
- HermiteE.convert()
- HermiteE.copy()
- HermiteE.cutdeg()
- HermiteE.degree()
- HermiteE.deriv()
- HermiteE.domain
- HermiteE.fit()
- HermiteE.fromroots()
- HermiteE.has_samecoef()
- HermiteE.has_samedomain()
- HermiteE.has_sametype()
- HermiteE.has_samewindow()
- HermiteE.identity()
- HermiteE.integ()
- HermiteE.linspace()
- HermiteE.mapparms()
- HermiteE.roots()
- HermiteE.trim()
- HermiteE.truncate()
- HermiteE.__call__()
- Laguerre Module (numpy.polynomial.laguerre)
- Laguerre.basis()
- Laguerre.cast()
- Laguerre.convert()
- Laguerre.copy()
- Laguerre.cutdeg()
- Laguerre.degree()
- Laguerre.deriv()
- Laguerre.domain
- Laguerre.fit()
- Laguerre.fromroots()
- Laguerre.has_samecoef()
- Laguerre.has_samedomain()
- Laguerre.has_sametype()
- Laguerre.has_samewindow()
- Laguerre.identity()
- Laguerre.integ()
- Laguerre.linspace()
- Laguerre.mapparms()
- Laguerre.roots()
- Laguerre.trim()
- Laguerre.truncate()
- Laguerre.__call__()
- Legendre Module (numpy.polynomial.legendre)
- Legendre.basis()
- Legendre.cast()
- Legendre.convert()
- Legendre.copy()
- Legendre.cutdeg()
- Legendre.degree()
- Legendre.deriv()
- Legendre.domain
- Legendre.fit()
- Legendre.fromroots()
- Legendre.has_samecoef()
- Legendre.has_samedomain()
- Legendre.has_sametype()
- Legendre.has_samewindow()
- Legendre.identity()
- Legendre.integ()
- Legendre.linspace()
- Legendre.mapparms()
- Legendre.roots()
- Legendre.trim()
- Legendre.truncate()
- Legendre.__call__()
- numpy.poly()
- numpy.poly1d()
- numpy.polyadd()
- numpy.polyder()
- numpy.polydiv()
- numpy.polyfit()
- numpy.polyint()
- numpy.polymul()
- numpy.polynomial.chebyshev.cheb2poly()
- numpy.polynomial.chebyshev.chebadd()
- numpy.polynomial.chebyshev.chebcompanion()
- numpy.polynomial.chebyshev.chebder()
- numpy.polynomial.chebyshev.chebdiv()
- numpy.polynomial.chebyshev.chebdomain
- numpy.polynomial.chebyshev.chebfit()
- numpy.polynomial.chebyshev.chebfromroots()
- numpy.polynomial.chebyshev.chebgauss()
- numpy.polynomial.chebyshev.chebgrid2d()
- numpy.polynomial.chebyshev.chebgrid3d()
- numpy.polynomial.chebyshev.chebint()
- numpy.polynomial.chebyshev.chebline()
- numpy.polynomial.chebyshev.chebmul()
- numpy.polynomial.chebyshev.chebmulx()
- numpy.polynomial.chebyshev.chebone
- numpy.polynomial.chebyshev.chebpow()
- numpy.polynomial.chebyshev.chebroots()
- numpy.polynomial.chebyshev.chebsub()
- numpy.polynomial.chebyshev.chebtrim()
- numpy.polynomial.chebyshev.chebval()
- numpy.polynomial.chebyshev.chebval2d()
- numpy.polynomial.chebyshev.chebval3d()
- numpy.polynomial.chebyshev.chebvander()
- numpy.polynomial.chebyshev.chebvander2d()
- numpy.polynomial.chebyshev.chebvander3d()
- numpy.polynomial.chebyshev.chebweight()
- numpy.polynomial.chebyshev.chebx
- numpy.polynomial.chebyshev.Chebyshev()
- numpy.polynomial.chebyshev.chebzero
- numpy.polynomial.chebyshev.poly2cheb()
- numpy.polynomial.hermite.herm2poly()
- numpy.polynomial.hermite.hermadd()
- numpy.polynomial.hermite.hermcompanion()
- numpy.polynomial.hermite.hermder()
- numpy.polynomial.hermite.hermdiv()
- numpy.polynomial.hermite.hermdomain
- numpy.polynomial.hermite.hermfit()
- numpy.polynomial.hermite.hermfromroots()
- numpy.polynomial.hermite.hermgauss()
- numpy.polynomial.hermite.hermgrid2d()
- numpy.polynomial.hermite.hermgrid3d()
- numpy.polynomial.hermite.hermint()
- numpy.polynomial.hermite.Hermite()
- numpy.polynomial.hermite.hermline()
- numpy.polynomial.hermite.hermmul()
- numpy.polynomial.hermite.hermmulx()
- numpy.polynomial.hermite.hermone
- numpy.polynomial.hermite.hermpow()
- numpy.polynomial.hermite.hermroots()
- numpy.polynomial.hermite.hermsub()
- numpy.polynomial.hermite.hermtrim()
- numpy.polynomial.hermite.hermval()
- numpy.polynomial.hermite.hermval2d()
- 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.herme2poly()
- numpy.polynomial.hermite_e.hermeadd()
- numpy.polynomial.hermite_e.hermecompanion()
- numpy.polynomial.hermite_e.hermeder()
- numpy.polynomial.hermite_e.hermediv()
- numpy.polynomial.hermite_e.hermedomain
- numpy.polynomial.hermite_e.hermefit()
- numpy.polynomial.hermite_e.hermefromroots()
- numpy.polynomial.hermite_e.hermegauss()
- numpy.polynomial.hermite_e.hermegrid2d()
- 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.HermiteE()
- numpy.polynomial.hermite_e.poly2herme()
- 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.Laguerre()
- 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.leg2poly()
- numpy.polynomial.legendre.legadd()
- numpy.polynomial.legendre.legcompanion()
- numpy.polynomial.legendre.legder()
- numpy.polynomial.legendre.legdiv()
- numpy.polynomial.legendre.legdomain
- numpy.polynomial.legendre.Legendre()
- 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.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.Polynomial()
- 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.polyvalfromroots()
- 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.RankWarning
- numpy.roots()
- Poly1d
- poly1d.c
- poly1d.coef
- poly1d.coefficients
- poly1d.coeffs
- poly1d.deriv()
- poly1d.integ()
- poly1d.o
- poly1d.order
- poly1d.r
- poly1d.roots
- poly1d.variable
- poly1d.__call__()
- Polynomial Module (numpy.polynomial.polynomial)
- Polynomial Package
- Polynomial.basis()
- Polynomial.cast()
- Polynomial.convert()
- Polynomial.copy()
- Polynomial.cutdeg()
- Polynomial.degree()
- Polynomial.deriv()
- Polynomial.domain
- Polynomial.fit()
- Polynomial.fromroots()
- Polynomial.has_samecoef()
- Polynomial.has_samedomain()
- Polynomial.has_sametype()
- Polynomial.has_samewindow()
- Polynomial.identity()
- Polynomial.integ()
- Polynomial.linspace()
- Polynomial.mapparms()
- Polynomial.roots()
- Polynomial.trim()
- Polynomial.truncate()
- Polynomial.__call__()
- Using the Convenience Classes
Random sampling
- 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.RandomState
- 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()
- 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()
Routines
- Array creation routines
- Array manipulation routines
- Binary operations
- Data type routines
- Datetime Support Functions
- Discrete Fourier Transform (numpy.fft)
- Financial functions
- Floating point error handling
- Functional programming
- Indexing routines
- Input and output
- Linear algebra (numpy.linalg)
- Logic functions
- Mathematical functions
- Mathematical functions with automatic domain (numpy.emath)
- Matrix library (numpy.matlib)
- Miscellaneous routines
- NumPy-specific help functions
- numpy.ctypeslib.as_array()
- Optionally Scipy-accelerated routines (numpy.dual)
- Padding Arrays
- Polynomials
- Random sampling (numpy.random)
- Routines
- Set routines
- Sorting, searching, and counting
- Statistics
- String operations
- Test Support (numpy.testing)
- Window functions
Scalars
- 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.T
- generic.take()
- generic.tobytes()
- generic.tofile()
- generic.tolist()
- generic.tostring()
- generic.trace()
- generic.transpose()
- generic.var()
- generic.view()
- generic.__array_interface__
- generic.__array_priority__
- generic.__array_struct__
- generic.__array_wrap__()
- generic.__array__()
- generic.__reduce__()
- generic.__setstate__()
- numpy.generic
Set routines
- numpy.in1d()
- numpy.intersect1d()
- numpy.isin()
- numpy.setdiff1d()
- numpy.setxor1d()
- numpy.union1d()
Sorting, searching, and counting
- 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.partition()
- numpy.searchsorted()
- numpy.sort()
- numpy.sort_complex()
Standard array subclasses
- broadcast.index
- broadcast.iters
- broadcast.next
- broadcast.reset()
- broadcast.shape
- broadcast.size
- matrix.A
- matrix.A1
- matrix.all()
- matrix.any()
- matrix.argmax()
- matrix.argmin()
- matrix.argpartition()
- matrix.argsort()
- matrix.astype()
- matrix.base
- matrix.byteswap()
- matrix.choose()
- matrix.clip()
- matrix.compress()
- matrix.conj()
- matrix.conjugate()
- matrix.copy()
- matrix.ctypes
- matrix.cumprod()
- matrix.cumsum()
- matrix.data
- matrix.diagonal()
- matrix.dot()
- matrix.dtype
- matrix.dump()
- matrix.dumps()
- matrix.fill()
- matrix.flags
- matrix.flat
- matrix.flatten()
- matrix.getA()
- matrix.getA1()
- matrix.getfield()
- matrix.getH()
- matrix.getI()
- matrix.getT()
- matrix.H
- matrix.I
- matrix.imag
- matrix.item()
- matrix.itemset()
- matrix.itemsize
- matrix.max()
- matrix.mean()
- matrix.min()
- matrix.nbytes
- matrix.ndim
- matrix.newbyteorder()
- matrix.nonzero()
- matrix.partition()
- matrix.prod()
- matrix.ptp()
- matrix.put()
- matrix.ravel()
- matrix.real
- matrix.repeat()
- matrix.reshape()
- matrix.resize()
- matrix.round()
- matrix.searchsorted()
- matrix.setfield()
- matrix.setflags()
- matrix.shape
- matrix.size
- matrix.sort()
- matrix.squeeze()
- matrix.std()
- matrix.strides
- matrix.sum()
- matrix.swapaxes()
- matrix.T
- matrix.take()
- matrix.tobytes()
- matrix.tofile()
- matrix.tolist()
- matrix.tostring()
- matrix.trace()
- matrix.transpose()
- matrix.var()
- matrix.view()
- memmap.flush()
- ndenumerate.next()
- numpy.asmatrix()
- numpy.bmat()
- numpy.broadcast
- numpy.chararray
- numpy.core.defchararray.array()
- numpy.lib.user_array.container()
- numpy.matrix
- numpy.memmap
- numpy.ndenumerate()
- numpy.recarray
- numpy.record
- recarray.all()
- recarray.any()
- recarray.argmax()
- recarray.argmin()
- recarray.argpartition()
- recarray.argsort()
- recarray.astype()
- recarray.base
- recarray.byteswap()
- recarray.choose()
- recarray.clip()
- recarray.compress()
- recarray.conj()
- recarray.conjugate()
- recarray.copy()
- recarray.ctypes
- recarray.cumprod()
- recarray.cumsum()
- recarray.data
- recarray.diagonal()
- recarray.dot()
- recarray.dtype
- recarray.dump()
- recarray.dumps()
- recarray.field()
- recarray.fill()
- recarray.flags
- recarray.flat
- recarray.flatten()
- recarray.getfield()
- recarray.imag
- recarray.item()
- recarray.itemset()
- recarray.itemsize
- recarray.max()
- recarray.mean()
- recarray.min()
- recarray.nbytes
- recarray.ndim
- recarray.newbyteorder()
- recarray.nonzero()
- recarray.partition()
- recarray.prod()
- recarray.ptp()
- recarray.put()
- recarray.ravel()
- recarray.real
- recarray.repeat()
- recarray.reshape()
- recarray.resize()
- recarray.round()
- recarray.searchsorted()
- recarray.setfield()
- recarray.setflags()
- recarray.shape
- recarray.size
- recarray.sort()
- recarray.squeeze()
- recarray.std()
- recarray.strides
- recarray.sum()
- recarray.swapaxes()
- recarray.T
- recarray.take()
- recarray.tobytes()
- recarray.tofile()
- recarray.tolist()
- recarray.tostring()
- recarray.trace()
- recarray.transpose()
- recarray.var()
- recarray.view()
- record.all()
- record.any()
- record.argmax()
- record.argmin()
- record.argsort()
- record.astype()
- record.base
- record.byteswap()
- record.choose()
- record.clip()
- record.compress()
- record.conj()
- record.conjugate()
- record.copy()
- record.cumprod()
- record.cumsum()
- record.data
- record.diagonal()
- record.dtype
- record.dump()
- record.dumps()
- record.fill()
- record.flags
- record.flat
- record.flatten()
- record.getfield()
- record.imag
- record.item()
- record.itemset()
- record.itemsize
- record.max()
- record.mean()
- record.min()
- record.nbytes
- record.ndim
- record.newbyteorder()
- record.nonzero()
- record.pprint()
- record.prod()
- record.ptp()
- record.put()
- record.ravel()
- record.real
- record.repeat()
- record.reshape()
- record.resize()
- record.round()
- record.searchsorted()
- record.setfield()
- record.setflags()
- record.shape
- record.size
- record.sort()
- record.squeeze()
- record.std()
- record.strides
- record.sum()
- record.swapaxes()
- record.T
- record.take()
- record.tobytes()
- record.tofile()
- record.tolist()
- record.tostring()
- record.trace()
- record.transpose()
- record.var()
- record.view()
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()
String operations
- chararray.argsort()
- chararray.astype()
- chararray.base
- chararray.copy()
- chararray.count()
- chararray.ctypes
- chararray.data
- chararray.decode()
- chararray.dtype
- chararray.dump()
- chararray.dumps()
- chararray.encode()
- chararray.endswith()
- chararray.expandtabs()
- chararray.fill()
- chararray.find()
- chararray.flags
- chararray.flat
- chararray.flatten()
- chararray.getfield()
- chararray.imag
- chararray.index()
- chararray.isalnum()
- chararray.isalpha()
- chararray.isdecimal()
- chararray.isdigit()
- chararray.islower()
- chararray.isnumeric()
- chararray.isspace()
- chararray.istitle()
- chararray.isupper()
- chararray.item()
- chararray.itemsize
- chararray.join()
- chararray.ljust()
- chararray.lower()
- chararray.lstrip()
- chararray.nbytes
- chararray.ndim
- chararray.nonzero()
- chararray.put()
- chararray.ravel()
- chararray.real
- chararray.repeat()
- chararray.replace()
- chararray.reshape()
- chararray.resize()
- chararray.rfind()
- chararray.rindex()
- chararray.rjust()
- chararray.rsplit()
- chararray.rstrip()
- chararray.searchsorted()
- chararray.setfield()
- chararray.setflags()
- chararray.shape
- chararray.size
- chararray.sort()
- chararray.split()
- chararray.splitlines()
- chararray.squeeze()
- chararray.startswith()
- chararray.strides
- chararray.strip()
- chararray.swapaxes()
- chararray.swapcase()
- chararray.T
- chararray.take()
- chararray.title()
- chararray.tofile()
- chararray.tolist()
- chararray.tostring()
- chararray.translate()
- chararray.transpose()
- chararray.upper()
- chararray.view()
- chararray.zfill()
- numpy.core.defchararray.add()
- numpy.core.defchararray.capitalize()
- numpy.core.defchararray.center()
- numpy.core.defchararray.chararray
- numpy.core.defchararray.count()
- numpy.core.defchararray.decode()
- numpy.core.defchararray.encode()
- numpy.core.defchararray.equal()
- numpy.core.defchararray.find()
- numpy.core.defchararray.greater()
- numpy.core.defchararray.greater_equal()
- numpy.core.defchararray.index()
- numpy.core.defchararray.isalpha()
- numpy.core.defchararray.isdecimal()
- numpy.core.defchararray.isdigit()
- numpy.core.defchararray.islower()
- numpy.core.defchararray.isnumeric()
- numpy.core.defchararray.isspace()
- numpy.core.defchararray.istitle()
- numpy.core.defchararray.isupper()
- numpy.core.defchararray.join()
- numpy.core.defchararray.less()
- numpy.core.defchararray.less_equal()
- numpy.core.defchararray.ljust()
- numpy.core.defchararray.lower()
- numpy.core.defchararray.lstrip()
- numpy.core.defchararray.mod()
- numpy.core.defchararray.multiply()
- numpy.core.defchararray.not_equal()
- numpy.core.defchararray.partition()
- numpy.core.defchararray.replace()
- numpy.core.defchararray.rfind()
- numpy.core.defchararray.rindex()
- numpy.core.defchararray.rjust()
- numpy.core.defchararray.rpartition()
- numpy.core.defchararray.rsplit()
- numpy.core.defchararray.rstrip()
- numpy.core.defchararray.split()
- numpy.core.defchararray.splitlines()
- numpy.core.defchararray.startswith()
- numpy.core.defchararray.strip()
- numpy.core.defchararray.swapcase()
- numpy.core.defchararray.title()
- numpy.core.defchararray.translate()
- numpy.core.defchararray.upper()
- numpy.core.defchararray.zfill()
Test support
- 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.rundocs()
- numpy.testing.run_module_suite()
- numpy.testing.Tester
The n-dimensional array
- 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.flat
- ndarray.flatten()
- 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.sort()
- ndarray.squeeze()
- ndarray.std()
- ndarray.strides
- ndarray.sum()
- ndarray.swapaxes()
- ndarray.T
- ndarray.take()
- ndarray.tobytes()
- ndarray.tofile()
- ndarray.tolist()
- ndarray.tostring()
- ndarray.trace()
- ndarray.transpose()
- ndarray.var()
- ndarray.view()
- ndarray.__abs__()
- ndarray.__add__
- ndarray.__and__
- ndarray.__array_wrap__()
- ndarray.__array__()
- ndarray.__contains__
- ndarray.__copy__()
- ndarray.__deepcopy__()
- ndarray.__divmod__()
- ndarray.__div__
- ndarray.__eq__
- ndarray.__float__()
- ndarray.__floordiv__
- ndarray.__getitem__
- ndarray.__ge__
- 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.__len__()
- ndarray.__le__
- ndarray.__long__()
- ndarray.__lshift__
- ndarray.__lt__
- ndarray.__mod__
- ndarray.__mul__
- ndarray.__neg__
- ndarray.__new__()
- ndarray.__ne__
- ndarray.__nonzero__
- ndarray.__oct__()
- ndarray.__or__
- ndarray.__pos__
- ndarray.__pow__()
- ndarray.__reduce__()
- ndarray.__repr__()
- ndarray.__rshift__
- ndarray.__setitem__
- ndarray.__setstate__()
- ndarray.__str__()
- ndarray.__sub__
- ndarray.__truediv__
- ndarray.__xor__
- numpy.ndarray
Universal functions
- numpy.setbufsize()
- numpy.seterr()
- numpy.seterrcall()
- ufunc.accumulate()
- ufunc.at()
- ufunc.identity
- ufunc.nargs
- ufunc.nin
- ufunc.nout
- ufunc.ntypes
- ufunc.outer()
- ufunc.reduce()
- ufunc.reduceat()
- ufunc.types
- Universal functions (ufunc)
Window functions
- numpy.bartlett()
- numpy.blackman()
- numpy.hamming()
- numpy.hanning()
- numpy.kaiser()

numpy.recarray.cumsum

recarray.cumsum(axis=None, dtype=None, out=None)

Return the cumulative sum of the elements along the given axis.

Refer to numpy.cumsum for full documentation.

See also

numpy.cumsum: equivalent function

© 2008–2017 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.recarray.cumsum.html