NumPy and SWIG
© 2005–2021 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.22/reference/swig.html
| Name | NumPy |
| Version | |
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| Last Updated | 2022-01-06T17:19:41Z |
Table of Contents
- Advanced F2PY use cases
- API reference
-
Array API
- char *PyArray_BYTES()
- char *PyArray_One()
- char *PyArray_Zero()
- char *PyDataMem_RENEW()
- double PyArray_GetPriority()
- enum NPY_CASTING
- enum NPY_CLIPMODE
- enum NPY_ORDER
- enum NPY_SCALARKIND
- enum NPY_SEARCHSIDE
- enum NPY_SELECTKIND
- enumerator NPY_BOOL_SCALAR
- enumerator NPY_CLIP
- enumerator NPY_COMPLEX_SCALAR
- enumerator NPY_CORDER
- enumerator NPY_EQUIV_CASTING
- enumerator NPY_FLOAT_SCALAR
- enumerator NPY_FORTRANORDER
- enumerator NPY_HEAPSORT
- enumerator NPY_INTNEG_SCALAR
- enumerator NPY_INTPOS_SCALAR
- enumerator NPY_KEEPORDER
- enumerator NPY_MERGESORT
- enumerator NPY_NSCALARKINDS
- enumerator NPY_NSORTS
- enumerator NPY_OBJECT_SCALAR
- enumerator NPY_SAFE_CASTING
- enumerator NPY_SAME_KIND_CASTING
- enumerator NPY_SEARCHRIGHT
- enumerator NPY_STABLESORT
- enumerator NPY_UNSAFE_CASTING
- enumerator NPY_WRAP
- int PyArray_AxisConverter()
- int PyArray_BoolConverter()
- int PyArray_Broadcast()
- int PyArray_BufferConverter()
- int PyArray_ByteorderConverter()
- int PyArray_CanCastArrayTo()
- int PyArray_CanCastSafely()
- int PyArray_CanCastTo()
- int PyArray_CanCastTypeTo()
- int PyArray_CanCoerceScalar()
- int PyArray_CastingConverter()
- int PyArray_CastTo()
- int PyArray_CheckAnyScalar()
- int PyArray_CheckExact()
- int PyArray_CheckScalar()
- int PyArray_ClipmodeConverter()
- int PyArray_CompareLists()
- int PyArray_ConvertClipmodeSequence()
- int PyArray_CopyInto()
- int PyArray_CopyObject()
- int Pyarray_DescrAlignConverter()
- int Pyarray_DescrAlignConverter2()
- int PyArray_DescrConverter()
- int PyArray_DescrConverter2()
- int PyArray_Dump()
- int PyArray_EquivByteorders()
- int PyArray_FillWithScalar()
- int PyArray_FinalizeFunc()
- int PyArray_FLAGS()
- int PyArray_Free()
- int PyArray_GetArrayParamsFromObject()
- int PyArray_HasArrayInterface()
- int PyArray_HasArrayInterfaceType()
- int PyArray_HASFIELDS()
- int PyArray_IntpConverter()
- int PyArray_IntpFromSequence()
- int PyArray_IS_C_CONTIGUOUS()
- int PyArray_IS_F_CONTIGUOUS()
- int PyArray_ISALIGNED()
- int PyArray_IsAnyScalar()
- int PyArray_ISBEHAVED()
- int PyArray_ISBEHAVED_RO()
- int PyArray_ISBOOL()
- int PyArray_ISBYTESWAPPED()
- int PyArray_ISCARRAY()
- int PyArray_ISCARRAY_RO()
- int PyArray_ISCOMPLEX()
- int PyArray_ISEXTENDED()
- int PyArray_ISFARRAY()
- int PyArray_ISFARRAY_RO()
- int PyArray_ISFLEXIBLE()
- int PyArray_ISFLOAT()
- int PyArray_ISFORTRAN()
- int PyArray_ISINTEGER()
- int PyArray_ISNOTSWAPPED()
- int PyArray_ISNUMBER()
- int PyArray_ISOBJECT()
- int PyArray_ISONESEGMENT()
- int PyArray_ISPYTHON()
- int PyArray_IsPythonNumber()
- int PyArray_IsPythonScalar()
- int PyArray_ISSIGNED()
- int PyArray_ISSTRING()
- int PyArray_ISUNSIGNED()
- int PyArray_ISUSERDEF()
- int PyArray_ISWRITEABLE()
- int PyArray_IsZeroDim()
- int PyArray_ITER_NOTDONE()
- int PyArray_MoveInto()
- int PyArray_MultiIter_NOTDONE()
- int PyArray_MultiplyIntList()
- int PyArray_NDIM()
- int PyArray_ObjectType()
- int PyArray_OrderConverter()
- int PyArray_OutputConverter()
- int PyArray_Partition()
- int PyArray_RegisterCanCast()
- int PyArray_RegisterCastFunc()
- int PyArray_RegisterDataType()
- int PyArray_RemoveSmallest()
- int PyArray_ResolveWritebackIfCopy()
- int PyArray_SearchsideConverter()
- int PyArray_SetBaseObject()
- int PyArray_SetField()
- int PyArray_SETITEM()
- int PyArray_SetUpdateIfCopyBase()
- int PyArray_SetWritebackIfCopyBase()
- int PyArray_SortkindConverter()
- int PyArray_TYPE()
- int PyArray_TypeNumFromName()
- int PyArray_TypestrConvert()
- int PyArray_ValidType()
- int PyArray_XDECREF()
- int PyArrayIter_Check()
- int PyArrayNeighborhoodIter_Next()
- int PyArrayNeighborhoodIter_Reset()
- int PyDataType_HASFIELDS()
- int PyDataType_ISBOOL()
- int PyDataType_ISCOMPLEX()
- int PyDataType_ISEXTENDED()
- int PyDataType_ISFLEXIBLE()
- int PyDataType_ISFLOAT()
- int PyDataType_ISINTEGER()
- int PyDataType_ISNUMBER()
- int PyDataType_ISOBJECT()
- int PyDataType_ISPYTHON()
- int PyDataType_ISSIGNED()
- int PyDataType_ISSTRING()
- int PyDataType_ISUNSIGNED()
- int PyDataType_ISUNSIZED()
- int PyDataType_ISUSERDEF()
- int PyTypeNum_ISBOOL()
- int PyTypeNum_ISCOMPLEX()
- int PyTypeNum_ISEXTENDED()
- int PyTypeNum_ISFLEXIBLE()
- int PyTypeNum_ISFLOAT()
- int PyTypeNum_ISINTEGER()
- int PyTypeNum_ISNUMBER()
- int PyTypeNum_ISOBJECT()
- int PyTypeNum_ISPYTHON()
- int PyTypeNum_ISSIGNED()
- int PyTypeNum_ISSTRING()
- int PyTypeNum_ISUSERDEF()
- NO_IMPORT_ARRAY
- NPY_ALLOW_C_API
- NPY_ARRAY_ALIGNED
- NPY_ARRAY_ALIGNED
- NPY_ARRAY_BEHAVED
- NPY_ARRAY_CARRAY
- NPY_ARRAY_CARRAY
- NPY_ARRAY_CARRAY_RO
- NPY_ARRAY_CARRAY_RO
- NPY_ARRAY_DEFAULT
- NPY_ARRAY_DEFAULT
- NPY_ARRAY_ELEMENTSTRIDES
- NPY_ARRAY_ENSUREARRAY
- NPY_ARRAY_ENSUREARRAY
- NPY_ARRAY_ENSURECOPY
- NPY_ARRAY_ENSURECOPY
- NPY_ARRAY_F_CONTIGUOUS
- NPY_ARRAY_F_CONTIGUOUS
- NPY_ARRAY_FARRAY
- NPY_ARRAY_FARRAY
- NPY_ARRAY_FARRAY_RO
- NPY_ARRAY_FARRAY_RO
- NPY_ARRAY_FORCECAST
- NPY_ARRAY_IN_ARRAY
- NPY_ARRAY_INOUT_ARRAY
- NPY_ARRAY_NOTSWAPPED
- NPY_ARRAY_OUT_ARRAY
- NPY_ARRAY_OWNDATA
- NPY_ARRAY_UPDATE_ALL
- NPY_ARRAY_UPDATEIFCOPY
- NPY_ARRAY_UPDATEIFCOPY
- NPY_ARRAY_WRITEABLE
- NPY_ARRAY_WRITEABLE
- NPY_ARRAY_WRITEBACKIFCOPY
- NPY_ARRAY_WRITEBACKIFCOPY
- NPY_BEGIN_THREADS
- NPY_BEGIN_THREADS_DEF
- NPY_BIG
- npy_bool PyArray_EquivArrTypes()
- npy_bool PyArray_EquivTypenums()
- npy_bool PyArray_EquivTypes()
- NPY_CLIP
- NPY_DISABLE_C_API
- NPY_END_ALLOW_THREADS
- NPY_END_THREADS
- NPY_FAIL
- NPY_FALSE
- NPY_FEATURE_VERSION
- NPY_IGNORE
- npy_intp *PyArray_DIMS()
- npy_intp *PyArray_SHAPE()
- npy_intp *PyArray_STRIDES()
- npy_intp *PyDimMem_NEW()
- npy_intp *PyDimMem_RENEW()
- npy_intp PyArray_CountNonzero()
- npy_intp PyArray_DIM()
- npy_intp PyArray_ITEMSIZE()
- npy_intp PyArray_MultiplyList()
- npy_intp PyArray_NBYTES()
- npy_intp PyArray_PyIntAsIntp()
- npy_intp PyArray_REFCOUNT()
- npy_intp PyArray_Size()
- npy_intp PyArray_SIZE()
- npy_intp PyArray_STRIDE()
- NPY_LITTLE
- NPY_MAX_BUFSIZE
- NPY_MAXARGS
- NPY_MAXDIMS
- NPY_MIN_BUFSIZE
- NPY_NATIVE
- NPY_NEIGHBORHOOD_ITER_CIRCULAR_PADDING
- NPY_NEIGHBORHOOD_ITER_CONSTANT_PADDING
- NPY_NEIGHBORHOOD_ITER_MIRROR_PADDING
- NPY_NEIGHBORHOOD_ITER_ONE_PADDING
- NPY_OUT_ARRAY
- NPY_SCALAR_PRIORITY
- NPY_SCALARKIND PyArray_ScalarKind()
- NPY_SUBTYPE_PRIORITY
- NPY_SUCCEED
- NPY_SWAP
- NPY_TRUE
- NPY_WRAP
- NpyAuxData *NPY_AUXDATA_CLONE()
- PY_ARRAY_UNIQUE_SYMBOL
- PyArray_CEQ()
- PyArray_CGE()
- PyArray_CGT()
- PyArray_CLE()
- PyArray_CLT()
- PyArray_CNE()
- PyArray_Descr *PyArray_DESCR()
- PyArray_Descr *PyArray_DescrFromObject()
- PyArray_Descr *PyArray_DescrFromScalar()
- PyArray_Descr *PyArray_DescrFromType()
- PyArray_Descr *PyArray_DescrNew()
- PyArray_Descr *PyArray_DescrNewByteorder()
- PyArray_Descr *PyArray_DescrNewFromType()
- PyArray_Descr *PyArray_DTYPE()
- PyArray_Descr *PyArray_MinScalarType()
- PyArray_Descr *PyArray_PromoteTypes()
- PyArray_Descr *PyArray_ResultType()
- PyArray_IsScalar()
- PyArray_MAX()
- PyArray_MIN()
- PyArray_VectorUnaryFunc *PyArray_GetCastFunc()
- PyArrayObject **PyArray_ConvertToCommonType()
- PyArrayObject *PyArray_GETCONTIGUOUS()
- PyObject *PyArray_All()
- PyObject *PyArray_Any()
- PyObject *PyArray_Arange()
- PyObject *PyArray_ArangeObj()
- PyObject *PyArray_ArgMin()
- PyObject *PyArray_ArgPartition()
- PyObject *PyArray_ArgSort()
- PyObject *PyArray_BASE()
- PyObject *PyArray_BroadcastToShape()
- PyObject *PyArray_Byteswap()
- PyObject *PyArray_CastToType()
- PyObject *PyArray_CheckAxis()
- PyObject *PyArray_CheckFromAny()
- PyObject *PyArray_Choose()
- PyObject *PyArray_Clip()
- PyObject *PyArray_Compress()
- PyObject *PyArray_Concatenate()
- PyObject *PyArray_Conjugate()
- PyObject *PyArray_ContiguousFromAny()
- PyObject *PyArray_ContiguousFromObject()
- PyObject *PyArray_CopyAndTranspose()
- PyObject *PyArray_Correlate()
- PyObject *PyArray_Correlate2()
- PyObject *PyArray_CumProd()
- PyObject *PyArray_CumSum()
- PyObject *PyArray_Diagonal()
- PyObject *PyArray_Dumps()
- PyObject *PyArray_EinsteinSum()
- PyObject *PyArray_EMPTY()
- PyObject *PyArray_Empty()
- PyObject *PyArray_EnsureArray()
- PyObject *PyArray_FieldNames()
- PyObject *PyArray_Flatten()
- PyObject *PyArray_FROM_O()
- PyObject *PyArray_FROM_OF()
- PyObject *PyArray_FROM_OT()
- PyObject *PyArray_FROM_OTF()
- PyObject *PyArray_FROMANY()
- PyObject *PyArray_FromArray()
- PyObject *PyArray_FromArrayAttr()
- PyObject *PyArray_FromBuffer()
- PyObject *PyArray_FromFile()
- PyObject *PyArray_FromInterface()
- PyObject *PyArray_FromObject()
- PyObject *PyArray_FromScalar()
- PyObject *PyArray_FromString()
- PyObject *PyArray_FromStructInterface()
- PyObject *PyArray_GETITEM()
- PyObject *PyArray_GetNumericOps()
- PyObject *PyArray_InnerProduct()
- PyObject *PyArray_IterAllButAxis()
- PyObject *PyArray_LexSort()
- PyObject *PyArray_MapIterArrayCopyIfOverlap()
- PyObject *PyArray_MatrixProduct()
- PyObject *PyArray_MatrixProduct2()
- PyObject *PyArray_Max()
- PyObject *PyArray_Mean()
- PyObject *PyArray_Min()
- PyObject *PyArray_New()
- PyObject *PyArray_NewCopy()
- PyObject *PyArray_NewLikeArray()
- PyObject *PyArray_Nonzero()
- PyObject *PyArray_Prod()
- PyObject *PyArray_Ptp()
- PyObject *PyArray_PutMask()
- PyObject *PyArray_PutTo()
- PyObject *PyArray_Ravel()
- PyObject *PyArray_Repeat()
- PyObject *PyArray_Reshape()
- PyObject *PyArray_Resize()
- PyObject *PyArray_Round()
- PyObject *PyArray_Scalar()
- PyObject *PyArray_SearchSorted()
- PyObject *PyArray_SimpleNew()
- PyObject *PyArray_SimpleNewFromData()
- PyObject *PyArray_SimpleNewFromDescr()
- PyObject *PyArray_Sort()
- PyObject *PyArray_Squeeze()
- PyObject *PyArray_Std()
- PyObject *PyArray_Sum()
- PyObject *PyArray_SwapAxes()
- PyObject *PyArray_ToFile()
- PyObject *PyArray_ToList()
- PyObject *PyArray_ToScalar()
- PyObject *PyArray_ToString()
- PyObject *PyArray_Trace()
- PyObject *PyArray_Transpose()
- PyObject *PyArray_TypeObjectFromType()
- PyObject *PyArray_View()
- PyObject *PyArray_Where()
- PyObject *PyArray_Zeros()
- PyObject *PyArray_ZEROS()
- type NpyAuxData_CloneFunc
- type NpyAuxData_FreeFunc
- unsigned int PyArray_GetNDArrayCFeatureVersion()
- unsigned int PyArray_GetNDArrayCVersion()
- void *PyArray_DATA()
- void *PyArray_GETPTR1()
- void *PyArray_GETPTR2()
- void *PyArray_GETPTR3()
- void *PyArray_GETPTR4()
- void *PyArray_ITER_DATA()
- void *PyArray_malloc()
- void *PyArray_MultiIter_DATA()
- void *PyArray_realloc()
- void NPY_AUXDATA_FREE()
- void NPY_BEGIN_THREADS_DESCR()
- void NPY_BEGIN_THREADS_THRESHOLDED()
- void NPY_END_THREADS_DESCR()
- void PyArray_ArrayType()
- void PyArray_CastScalarToCtype()
- void PyArray_CLEARFLAGS()
- void PyArray_DiscardWritebackIfCopy()
- void PyArray_ENABLEFLAGS()
- void PyArray_FillObjectArray()
- void PyArray_FILLWBYTE()
- void PyArray_free()
- void PyArray_Item_INCREF()
- void PyArray_Item_XDECREF()
- void PyArray_ITER_GOTO()
- void PyArray_ITER_GOTO1D()
- void PyArray_ITER_NEXT()
- void PyArray_ITER_RESET()
- void PyArray_MapIterNext()
- void PyArray_MapIterSwapAxes()
- void PyArray_MultiIter_GOTO()
- void PyArray_MultiIter_GOTO1D()
- void PyArray_MultiIter_NEXT()
- void PyArray_MultiIter_NEXTi()
- void PyArray_MultiIter_RESET()
- void PyArray_ScalarAsCtype()
- void PyArray_SetStringFunction()
- void PyArray_UpdateFlags()
- void PyArray_XDECREF_ERR()
- void PyDataMem_FREE()
- void PyDimMem_FREE()
- WITH_THREADS
- Array creation routines
-
Array Iterator API
- char **NpyIter_GetDataPtrArray()
- char **NpyIter_GetInitialDataPtrArray()
- int NpyIter_CreateCompatibleStrides()
- int NpyIter_Deallocate()
- int NpyIter_EnableExternalLoop()
- int NpyIter_GetNDim()
- int NpyIter_GetNOp()
- int NpyIter_GetShape()
- int NpyIter_GotoIndex()
- int NpyIter_GotoIterIndex()
- int NpyIter_GotoMultiIndex()
- int NpyIter_RemoveAxis()
- int NpyIter_RemoveMultiIndex()
- int NpyIter_Reset()
- int NpyIter_ResetBasePointers()
- int NpyIter_ResetToIterIndexRange()
- npy_bool NpyIter_HasDelayedBufAlloc()
- npy_bool NpyIter_HasExternalLoop()
- npy_bool NpyIter_HasIndex()
- npy_bool NpyIter_HasMultiIndex()
- npy_bool NpyIter_IsBuffered()
- npy_bool NpyIter_IsFirstVisit()
- npy_bool NpyIter_IsGrowInner()
- npy_bool NpyIter_RequiresBuffering()
- npy_intp *NpyIter_GetAxisStrideArray()
- npy_intp *NpyIter_GetIndexPtr()
- npy_intp *NpyIter_GetInnerLoopSizePtr()
- npy_intp *NpyIter_GetInnerStrideArray()
- npy_intp NpyIter_GetBufferSize()
- npy_intp NpyIter_GetIterIndex()
- npy_intp NpyIter_GetIterSize()
- NPY_ITER_ALIGNED
- NPY_ITER_ALLOCATE
- NPY_ITER_ARRAYMASK
- NPY_ITER_BUFFERED
- NPY_ITER_C_INDEX
- NPY_ITER_COMMON_DTYPE
- NPY_ITER_CONTIG
- NPY_ITER_COPY
- NPY_ITER_COPY_IF_OVERLAP
- NPY_ITER_DELAY_BUFALLOC
- NPY_ITER_DONT_NEGATE_STRIDES
- NPY_ITER_EXTERNAL_LOOP
- NPY_ITER_F_INDEX
- NPY_ITER_GROWINNER
- NPY_ITER_MULTI_INDEX
- NPY_ITER_NBO
- NPY_ITER_NO_BROADCAST
- NPY_ITER_NO_SUBTYPE
- NPY_ITER_OVERLAP_ASSUME_ELEMENTWISE
- NPY_ITER_RANGED
- NPY_ITER_READONLY
- NPY_ITER_READWRITE
- NPY_ITER_REDUCE_OK
- NPY_ITER_REFS_OK
- NPY_ITER_UPDATEIFCOPY
- NPY_ITER_WRITEMASKED
- NPY_ITER_WRITEONLY
- NPY_ITER_ZEROSIZE_OK
- NpyIter *NpyIter_AdvancedNew()
- NpyIter *NpyIter_Copy()
- NpyIter *NpyIter_MultiNew()
- NpyIter_GetMultiIndexFunc *NpyIter_GetGetMultiIndex()
- PyArray_Descr **NpyIter_GetDescrArray()
- PyObject **NpyIter_GetOperandArray()
- PyObject *NpyIter_GetIterView()
- type NpyIter
- type NpyIter_GetMultiIndexFunc
- type NpyIter_IterNextFunc
- type NpyIter_Type
- void NpyIter_GetInnerFixedStrideArray()
- void NpyIter_GetIterIndexRange()
- void NpyIter_GetReadFlags()
- void NpyIter_GetWriteFlags()
- Array manipulation routines
- Array objects
- Binary operations
- Bit Generators
- C API Deprecations
-
C API for random
- double random_beta()
- double random_chisquare()
- double random_exponential()
- double random_f()
- double random_gamma()
- double random_gumbel()
- double random_laplace()
- double random_logistic()
- double random_lognormal()
- double random_noncentral_chisquare()
- double random_noncentral_f()
- double random_normal()
- double random_pareto()
- double random_power()
- double random_rayleigh()
- double random_standard_cauchy()
- double random_standard_exponential()
- double random_standard_gamma()
- double random_standard_normal()
- double random_standard_t()
- double random_standard_uniform()
- double random_triangular()
- double random_uniform()
- double random_vonmises()
- double random_wald()
- double random_weibull()
- float random_gamma_f()
- float random_standard_exponential_f()
- float random_standard_gamma_f()
- float random_standard_normal_f()
- float random_standard_uniform_f()
- int random_multivariate_hypergeometric_count()
- npy_int32 random_positive_int32()
- npy_int64 random_binomial()
- npy_int64 random_geometric()
- npy_int64 random_geometric_inversion()
- npy_int64 random_geometric_search()
- npy_int64 random_hypergeometric()
- npy_int64 random_logseries()
- npy_int64 random_negative_binomial()
- npy_int64 random_poisson()
- npy_int64 random_positive_int()
- npy_int64 random_positive_int64()
- npy_int64 random_zipf()
- npy_uint64 random_bounded_uint64()
- npy_uint64 random_interval()
- npy_uint64 random_uint()
- type binomial_t
- type bitgen_t
- void random_multinomial()
- void random_multivariate_hypergeometric_marginals()
- void random_standard_exponential_fill()
- void random_standard_exponential_fill_f()
- void random_standard_exponential_inv_fill()
- void random_standard_exponential_inv_fill_f()
- void random_standard_normal_fill()
- void random_standard_normal_fill_f()
- void random_standard_uniform_fill()
- void random_standard_uniform_fill_f()
- C-Types Foreign Function Interface ( numpy.ctypeslib )
- CFFI
- CFFI + Numba
- Chebyshev Series ( numpy.polynomial.chebyshev )
- Comparing Performance
- Constants
- Constants of the numpy.ma module
- Convenience classes
- Cython
-
Data Type API
- enumerator NPY_BOOL
- enumerator NPY_BYTE
- enumerator NPY_CDOUBLE
- enumerator NPY_CFLOAT
- enumerator NPY_CLONGDOUBLE
- enumerator NPY_COMPLEX128
- enumerator NPY_COMPLEX64
- enumerator NPY_DATETIME
- enumerator NPY_DEFAULT_TYPE
- enumerator NPY_DOUBLE
- enumerator NPY_FLOAT
- enumerator NPY_FLOAT16
- enumerator NPY_FLOAT32
- enumerator NPY_FLOAT64
- enumerator NPY_HALF
- enumerator NPY_INT
- enumerator NPY_INT16
- enumerator NPY_INT32
- enumerator NPY_INT64
- enumerator NPY_INT8
- enumerator NPY_INTP
- enumerator NPY_LONG
- enumerator NPY_LONGDOUBLE
- enumerator NPY_LONGLONG
- enumerator NPY_MASK
- enumerator NPY_OBJECT
- enumerator NPY_SHORT
- enumerator NPY_STRING
- enumerator NPY_TIMEDELTA
- enumerator NPY_TYPES
- enumerator NPY_UBYTE
- enumerator NPY_UINT
- enumerator NPY_UINT16
- enumerator NPY_UINT32
- enumerator NPY_UINT64
- enumerator NPY_UINT8
- enumerator NPY_UINTP
- enumerator NPY_ULONG
- enumerator NPY_ULONGLONG
- enumerator NPY_UNICODE
- enumerator NPY_USHORT
- enumerator NPY_VOID
- NPY_INTP_FMT
- NPY_LONGDOUBLE_FMT
- NPY_NOTYPE
- NPY_NTYPES
- NPY_UINTP_FMT
- NPY_ULONGLONG_FMT
- NPY_USERDEF
- type npy_cdouble
- type npy_cfloat
- type npy_clongdouble
- type npy_double
- type npy_float
- type npy_int
- type npy_int16
- type npy_int32
- type npy_int64
- type npy_intp
- type npy_long
- type npy_longdouble
- type npy_longlong
- type npy_short
- type npy_ubyte
- type npy_uint
- type npy_uint16
- type npy_uint32
- type npy_uint64
- type npy_uintp
- type npy_ulong
- type npy_ulonglong
- type npy_ushort
- Data type objects
- Data type objects ( dtype )
- Data type routines
- Datetime support functions
- Datetime Support Functions
- Datetimes and Timedeltas
-
Development
- Additional Git Resources
- Advanced debugging tools
- Building the NumPy API and reference docs
- const Tp *data()
- Contributing to NumPy
- Development workflow
- DoxyLimbo()
- Get the local copy of the code
- Git configuration
- Git for development
- Install git
- int doxy_javadoc_example()
- Internal organization of NumPy arrays
- Is the intended behavior clear under all conditions? Some things to watch:
- NumPy C code explanations
- NumPy governance
- NumPy project governance and decision-making
- Releasing a version
- Setting up and using your development environment
- Setting up git for NumPy development
- Some cases where uint and true alignment are different ()
- template<typename Tp, std::size_t N>class DoxyLimbo
- Two and three dots in difference specs
- Under-the-hood Documentation for developers
- Using Gitpod for NumPy development
- Discrete Fourier Transform ( numpy.fft )
-
distutils.misc_util
- numpy.distutils.misc_util.all_strings()
- numpy.distutils.misc_util.allpath()
- numpy.distutils.misc_util.appendpath()
- numpy.distutils.misc_util.as_list()
- numpy.distutils.misc_util.blue_text()
- numpy.distutils.misc_util.cyan_text()
- numpy.distutils.misc_util.cyg2win32()
- numpy.distutils.misc_util.default_config_dict()
- numpy.distutils.misc_util.dict_append()
- numpy.distutils.misc_util.dot_join()
- numpy.distutils.misc_util.exec_mod_from_location()
- numpy.distutils.misc_util.filter_sources()
- numpy.distutils.misc_util.generate_config_py()
- numpy.distutils.misc_util.get_build_architecture()
- numpy.distutils.misc_util.get_cmd()
- numpy.distutils.misc_util.get_data_files()
- numpy.distutils.misc_util.get_dependencies()
- numpy.distutils.misc_util.get_ext_source_files()
- numpy.distutils.misc_util.get_frame()
- numpy.distutils.misc_util.get_info()
- numpy.distutils.misc_util.get_language()
- numpy.distutils.misc_util.get_lib_source_files()
- numpy.distutils.misc_util.get_mathlibs()
- numpy.distutils.misc_util.get_num_build_jobs()
- numpy.distutils.misc_util.get_numpy_include_dirs()
- numpy.distutils.misc_util.get_pkg_info()
- numpy.distutils.misc_util.get_script_files()
- numpy.distutils.misc_util.gpaths()
- 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.is_sequence()
- numpy.distutils.misc_util.is_string()
- numpy.distutils.misc_util.mingw32()
- numpy.distutils.misc_util.minrelpath()
- numpy.distutils.misc_util.njoin()
- numpy.distutils.misc_util.red_text()
- numpy.distutils.misc_util.sanitize_cxx_flags()
- numpy.distutils.misc_util.terminal_has_colors()
- numpy.distutils.misc_util.yellow_text()
- Examples of using Numba, Cython, CFFI
- F2PY and Build Systems
- F2PY user guide and reference manual
- Floating point error handling
- Functional programming
- Generalized Universal Function API
- Global State
- Glossary
- Hermite Series, “Physicists” ( numpy.polynomial.hermite )
- HermiteE Series, “Probabilists” ( numpy.polynomial.hermite_e )
- Indexing routines
- Input and output
- Iterating Over Arrays
- Laguerre Series ( numpy.polynomial.laguerre )
- Legacy Generator (RandomState)
- Legendre Series ( numpy.polynomial.legendre )
- Linear algebra ( numpy.linalg )
- Logic functions
- Masked array operations
-
Masked arrays
- ma.MaskedArray.__abs__()
- ma.MaskedArray.__add__()
- ma.MaskedArray.__and__()
- ma.MaskedArray.__array__()
- ma.MaskedArray.__array_priority__
- ma.MaskedArray.__array_wrap__()
- ma.MaskedArray.__bool__()
- ma.MaskedArray.__contains__()
- ma.MaskedArray.__copy__()
- ma.MaskedArray.__deepcopy__()
- ma.MaskedArray.__delitem__()
- ma.MaskedArray.__div__()
- ma.MaskedArray.__divmod__()
- ma.MaskedArray.__eq__()
- ma.MaskedArray.__float__()
- ma.MaskedArray.__floordiv__()
- ma.MaskedArray.__ge__()
- ma.MaskedArray.__getitem__()
- ma.MaskedArray.__getstate__()
- ma.MaskedArray.__gt__()
- ma.MaskedArray.__iadd__()
- ma.MaskedArray.__iand__()
- ma.MaskedArray.__idiv__()
- ma.MaskedArray.__ifloordiv__()
- ma.MaskedArray.__ilshift__()
- ma.MaskedArray.__imod__()
- ma.MaskedArray.__imul__()
- ma.MaskedArray.__int__()
- ma.MaskedArray.__ior__()
- ma.MaskedArray.__ipow__()
- ma.MaskedArray.__irshift__()
- ma.MaskedArray.__isub__()
- ma.MaskedArray.__itruediv__()
- ma.MaskedArray.__ixor__()
- ma.MaskedArray.__le__()
- ma.MaskedArray.__len__()
- ma.MaskedArray.__lshift__()
- ma.MaskedArray.__lt__()
- ma.MaskedArray.__mod__()
- ma.MaskedArray.__mul__()
- ma.MaskedArray.__ne__()
- ma.MaskedArray.__or__()
- ma.MaskedArray.__pow__()
- ma.MaskedArray.__radd__()
- ma.MaskedArray.__rand__()
- ma.MaskedArray.__rdivmod__()
- ma.MaskedArray.__reduce__()
- ma.MaskedArray.__repr__()
- ma.MaskedArray.__rfloordiv__()
- ma.MaskedArray.__rlshift__()
- ma.MaskedArray.__rmod__()
- ma.MaskedArray.__rmul__()
- ma.MaskedArray.__ror__()
- ma.MaskedArray.__rpow__()
- ma.MaskedArray.__rrshift__()
- ma.MaskedArray.__rshift__()
- ma.MaskedArray.__rsub__()
- ma.MaskedArray.__rtruediv__()
- ma.MaskedArray.__rxor__()
- ma.MaskedArray.__setitem__()
- ma.MaskedArray.__setmask__()
- ma.MaskedArray.__setstate__()
- ma.MaskedArray.__str__()
- ma.MaskedArray.__sub__()
- ma.MaskedArray.__truediv__()
- ma.MaskedArray.__xor__()
- ma.MaskedArray.astype()
- ma.MaskedArray.base
- ma.MaskedArray.byteswap()
- ma.MaskedArray.choose()
- ma.MaskedArray.compress()
- ma.MaskedArray.conj()
- ma.MaskedArray.conjugate()
- ma.MaskedArray.ctypes
- ma.MaskedArray.diagonal()
- ma.MaskedArray.dump()
- ma.MaskedArray.dumps()
- ma.MaskedArray.fill()
- ma.MaskedArray.flags
- ma.MaskedArray.ids()
- ma.MaskedArray.iscontiguous()
- ma.MaskedArray.item()
- ma.MaskedArray.itemsize
- ma.MaskedArray.nbytes
- ma.MaskedArray.ndim
- ma.MaskedArray.product()
- ma.MaskedArray.put()
- ma.MaskedArray.repeat()
- ma.MaskedArray.searchsorted()
- ma.MaskedArray.size
- ma.MaskedArray.strides
- ma.MaskedArray.take()
- ma.MaskedArray.toflex()
- ma.MaskedArray.tostring()
- ma.MaskedArray.view()
- Masked arrays
- property ma.MaskedArray.dtype
- property ma.MaskedArray.flat
- property ma.MaskedArray.imag
- property ma.MaskedArray.real
- property ma.MaskedArray.shape
- property ma.MaskedArray.T
- static ma.MaskedArray.__new__()
- Mathematical functions
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NumPy core libraries
- double npy_half_to_double()
- double npy_spacing()
- float npy_half_to_float()
- int npy_clear_floatstatus()
- int npy_clear_floatstatus_barrier()
- int npy_get_floatstatus()
- int npy_get_floatstatus_barrier()
- int npy_half_eq()
- int npy_half_eq_nonan()
- int npy_half_ge()
- int npy_half_gt()
- int npy_half_isfinite()
- int npy_half_isinf()
- int npy_half_isnan()
- int npy_half_iszero()
- int npy_half_le()
- int npy_half_le_nonan()
- int npy_half_lt()
- int npy_half_lt_nonan()
- int npy_half_ne()
- int npy_half_signbit()
- NPY_1_PI
- NPY_2_PI
- npy_copysign()
- NPY_EULER
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- npy_half npy_float_to_half()
- npy_half npy_half_copysign()
- npy_half npy_half_nextafter()
- npy_half npy_half_spacing()
- NPY_HALF_NAN
- NPY_HALF_NEGONE
- NPY_HALF_NINF
- NPY_HALF_NZERO
- NPY_HALF_ONE
- NPY_HALF_PINF
- NPY_HALF_PZERO
- NPY_INFINITY
- npy_isfinite()
- npy_isinf()
- npy_isnan()
- NPY_LOG10E
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- NPY_LOGE10
- NPY_LOGE2
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- NPY_NZERO
- NPY_PI
- NPY_PI_2
- NPY_PI_4
- NPY_PZERO
- npy_signbit()
- npy_uint16 npy_doublebits_to_halfbits()
- npy_uint16 npy_floatbits_to_halfbits()
- npy_uint32 npy_halfbits_to_floatbits()
- npy_uint64 npy_halfbits_to_doublebits()
- void npy_set_floatstatus_divbyzero()
- void npy_set_floatstatus_invalid()
- void npy_set_floatstatus_overflow()
- void npy_set_floatstatus_underflow()
- NumPy Distutils - Users Guide
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- numpy.absolute
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- numpy.append
- numpy.apply_along_axis
- numpy.apply_over_axes
- numpy.arange
- numpy.arccos
- numpy.arccosh
- numpy.arcsin
- numpy.arcsinh
- numpy.arctan
- numpy.arctan2
- numpy.arctanh
- numpy.argmax
- numpy.argmin
- numpy.argpartition
- numpy.argsort
- numpy.argwhere
- numpy.around
- numpy.array
- numpy.array2string
- numpy.array_equal
- numpy.array_equiv
- numpy.array_repr
- numpy.array_split
- numpy.array_str
- numpy.asanyarray
- numpy.asarray
- numpy.asarray_chkfinite
- numpy.ascontiguousarray
- numpy.asfarray
- numpy.asfortranarray
- numpy.asmatrix
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- numpy.atleast_1d
- numpy.atleast_2d
- numpy.atleast_3d
- numpy.average
- numpy.AxisError
- numpy.bartlett
- numpy.base_repr
- numpy.binary_repr
- numpy.bincount
- numpy.bitwise_and
- numpy.bitwise_or
- numpy.bitwise_xor
- numpy.blackman
- numpy.block
- numpy.bmat
- numpy.broadcast
- numpy.broadcast.reset
- numpy.broadcast_arrays
- numpy.broadcast_shapes
- numpy.broadcast_to
- numpy.busday_count
- numpy.busday_offset
- numpy.busdaycalendar
- numpy.byte_bounds
- numpy.c_
- numpy.can_cast
- numpy.cbrt
- numpy.ceil
- numpy.char.add
- numpy.char.array
- numpy.char.asarray
- numpy.char.capitalize
- numpy.char.center
- numpy.char.chararray
- numpy.char.chararray.argsort
- numpy.char.chararray.astype
- numpy.char.chararray.copy
- numpy.char.chararray.count
- numpy.char.chararray.decode
- numpy.char.chararray.dump
- numpy.char.chararray.dumps
- numpy.char.chararray.encode
- numpy.char.chararray.endswith
- numpy.char.chararray.expandtabs
- numpy.char.chararray.fill
- numpy.char.chararray.find
- numpy.char.chararray.flatten
- numpy.char.chararray.getfield
- numpy.char.chararray.index
- numpy.char.chararray.isalnum
- numpy.char.chararray.isalpha
- numpy.char.chararray.isdecimal
- numpy.char.chararray.isdigit
- numpy.char.chararray.islower
- numpy.char.chararray.isnumeric
- numpy.char.chararray.isspace
- numpy.char.chararray.istitle
- numpy.char.chararray.isupper
- numpy.char.chararray.item
- numpy.char.chararray.join
- numpy.char.chararray.ljust
- numpy.char.chararray.lower
- numpy.char.chararray.lstrip
- numpy.char.chararray.nonzero
- numpy.char.chararray.put
- numpy.char.chararray.ravel
- numpy.char.chararray.repeat
- numpy.char.chararray.replace
- numpy.char.chararray.reshape
- numpy.char.chararray.resize
- numpy.char.chararray.rfind
- numpy.char.chararray.rindex
- numpy.char.chararray.rjust
- numpy.char.chararray.rsplit
- numpy.char.chararray.rstrip
- numpy.char.chararray.searchsorted
- numpy.char.chararray.setfield
- numpy.char.chararray.setflags
- numpy.char.chararray.sort
- numpy.char.chararray.split
- numpy.char.chararray.splitlines
- numpy.char.chararray.squeeze
- numpy.char.chararray.startswith
- numpy.char.chararray.strip
- numpy.char.chararray.swapaxes
- numpy.char.chararray.swapcase
- numpy.char.chararray.take
- numpy.char.chararray.title
- numpy.char.chararray.tofile
- numpy.char.chararray.tolist
- numpy.char.chararray.tostring
- numpy.char.chararray.translate
- numpy.char.chararray.transpose
- numpy.char.chararray.upper
- numpy.char.chararray.view
- numpy.char.chararray.zfill
- numpy.char.compare_chararrays
- numpy.char.count
- numpy.char.decode
- numpy.char.encode
- numpy.char.endswith
- numpy.char.equal
- numpy.char.expandtabs
- numpy.char.find
- numpy.char.greater
- numpy.char.greater_equal
- numpy.char.index
- numpy.char.isalnum
- numpy.char.isalpha
- numpy.char.isdecimal
- numpy.char.isdigit
- numpy.char.islower
- numpy.char.isnumeric
- numpy.char.isspace
- numpy.char.istitle
- numpy.char.isupper
- numpy.char.join
- numpy.char.less
- numpy.char.less_equal
- numpy.char.ljust
- numpy.char.lower
- numpy.char.lstrip
- numpy.char.mod
- numpy.char.multiply
- numpy.char.not_equal
- numpy.char.partition
- numpy.char.replace
- numpy.char.rfind
- numpy.char.rindex
- numpy.char.rjust
- numpy.char.rpartition
- numpy.char.rsplit
- numpy.char.rstrip
- numpy.char.split
- numpy.char.splitlines
- numpy.char.startswith
- numpy.char.str_len
- numpy.char.strip
- numpy.char.swapcase
- numpy.char.title
- numpy.char.translate
- numpy.char.upper
- numpy.char.zfill
- numpy.chararray
- numpy.chararray.argsort
- numpy.chararray.astype
- numpy.chararray.copy
- numpy.chararray.count
- numpy.chararray.decode
- numpy.chararray.dump
- numpy.chararray.dumps
- numpy.chararray.encode
- numpy.chararray.endswith
- numpy.chararray.expandtabs
- numpy.chararray.fill
- numpy.chararray.find
- numpy.chararray.flatten
- numpy.chararray.getfield
- numpy.chararray.index
- numpy.chararray.isalnum
- numpy.chararray.isalpha
- numpy.chararray.isdecimal
- numpy.chararray.isdigit
- numpy.chararray.islower
- numpy.chararray.isnumeric
- numpy.chararray.isspace
- numpy.chararray.istitle
- numpy.chararray.isupper
- numpy.chararray.item
- numpy.chararray.join
- numpy.chararray.ljust
- numpy.chararray.lower
- numpy.chararray.lstrip
- numpy.chararray.nonzero
- numpy.chararray.put
- numpy.chararray.ravel
- numpy.chararray.repeat
- numpy.chararray.replace
- numpy.chararray.reshape
- numpy.chararray.resize
- numpy.chararray.rfind
- numpy.chararray.rindex
- numpy.chararray.rjust
- numpy.chararray.rsplit
- numpy.chararray.rstrip
- numpy.chararray.searchsorted
- numpy.chararray.setfield
- numpy.chararray.setflags
- numpy.chararray.sort
- numpy.chararray.split
- numpy.chararray.splitlines
- numpy.chararray.squeeze
- numpy.chararray.startswith
- numpy.chararray.strip
- numpy.chararray.swapaxes
- numpy.chararray.swapcase
- numpy.chararray.take
- numpy.chararray.title
- numpy.chararray.tofile
- numpy.chararray.tolist
- numpy.chararray.tostring
- numpy.chararray.translate
- numpy.chararray.transpose
- numpy.chararray.upper
- numpy.chararray.view
- numpy.chararray.zfill
- numpy.choose
- numpy.clip
- numpy.column_stack
- numpy.common_type
- numpy.compress
- numpy.concatenate
- numpy.conj
- numpy.conjugate
- numpy.convolve
- numpy.copy
- numpy.copysign
- numpy.copyto
- 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.corrcoef
- numpy.correlate
- numpy.cos
- numpy.cosh
- numpy.count_nonzero
- numpy.cov
- numpy.cross
- numpy.cumprod
- numpy.cumsum
- numpy.DataSource
- numpy.DataSource.abspath
- numpy.DataSource.exists
- numpy.DataSource.open
- numpy.datetime_as_string
- numpy.datetime_data
- numpy.deg2rad
- numpy.degrees
- numpy.delete
- numpy.deprecate
- numpy.deprecate_with_doc
- numpy.diag
- numpy.diag_indices
- numpy.diag_indices_from
- numpy.diagflat
- numpy.diagonal
- numpy.diff
- numpy.digitize
- numpy.disp
- numpy.distutils.ccompiler
- numpy.distutils.ccompiler.CCompiler_compile
- numpy.distutils.ccompiler.CCompiler_customize
- numpy.distutils.ccompiler.CCompiler_customize_cmd
- numpy.distutils.ccompiler.CCompiler_cxx_compiler
- numpy.distutils.ccompiler.CCompiler_find_executables
- numpy.distutils.ccompiler.CCompiler_get_version
- numpy.distutils.ccompiler.CCompiler_object_filenames
- numpy.distutils.ccompiler.CCompiler_show_customization
- numpy.distutils.ccompiler.CCompiler_spawn
- numpy.distutils.ccompiler.gen_lib_options
- numpy.distutils.ccompiler.new_compiler
- numpy.distutils.ccompiler.replace_method
- numpy.distutils.ccompiler.simple_version_match
- numpy.distutils.ccompiler_opt
- numpy.distutils.ccompiler_opt.CCompilerOpt
- numpy.distutils.ccompiler_opt.CCompilerOpt.cache_flush
- numpy.distutils.ccompiler_opt.CCompilerOpt.cc_normalize_flags
- NumPy.distutils.ccompiler_opt.ccompileropt.conf_features
- numpy.distutils.ccompiler_opt.CCompilerOpt.conf_features_partial
- numpy.distutils.ccompiler_opt.CCompilerOpt.cpu_baseline_flags
- numpy.distutils.ccompiler_opt.CCompilerOpt.cpu_baseline_names
- numpy.distutils.ccompiler_opt.CCompilerOpt.cpu_dispatch_names
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_compile
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_error
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_fatal
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_info
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_load_module
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_log
- numpy.distutils.ccompiler_opt.CCompilerOpt.dist_test
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_ahead
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_c_preprocessor
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_detect
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_get_til
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_implies
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_implies_c
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_is_exist
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_names
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_sorted
- numpy.distutils.ccompiler_opt.CCompilerOpt.feature_untied
- numpy.distutils.ccompiler_opt.CCompilerOpt.generate_dispatch_header
- numpy.distutils.ccompiler_opt.CCompilerOpt.is_cached
- numpy.distutils.ccompiler_opt.CCompilerOpt.me
- numpy.distutils.ccompiler_opt.CCompilerOpt.parse_targets
- numpy.distutils.ccompiler_opt.CCompilerOpt.try_dispatch
- numpy.distutils.ccompiler_opt.new_ccompiler_opt
- numpy.distutils.core.Extension
- numpy.distutils.cpuinfo.cpu
- numpy.distutils.exec_command
- numpy.distutils.exec_command.exec_command
- numpy.distutils.exec_command.filepath_from_subprocess_output
- numpy.distutils.exec_command.find_executable
- numpy.distutils.exec_command.forward_bytes_to_stdout
- numpy.distutils.exec_command.get_pythonexe
- numpy.distutils.exec_command.temp_file_name
- numpy.distutils.log.set_verbosity
- numpy.distutils.system_info.get_info
- numpy.distutils.system_info.get_standard_file
- numpy.divide
- numpy.divmod
- numpy.dot
- numpy.dsplit
- numpy.dstack
- numpy.dtype
- numpy.dtype.__class_getitem__
- numpy.dtype.__ge__
- numpy.dtype.__gt__
- numpy.dtype.__le__
- numpy.dtype.__lt__
- numpy.dtype.__reduce__
- numpy.dtype.__setstate__
- numpy.dtype.alignment
- numpy.dtype.base
- numpy.dtype.byteorder
- numpy.dtype.char
- numpy.dtype.descr
- numpy.dtype.fields
- numpy.dtype.flags
- numpy.dtype.hasobject
- numpy.dtype.isbuiltin
- numpy.dtype.isnative
- numpy.dtype.itemsize
- numpy.dtype.kind
- numpy.dtype.metadata
- numpy.dtype.name
- numpy.dtype.names
- numpy.dtype.newbyteorder
- numpy.dtype.num
- numpy.dtype.shape
- numpy.dtype.str
- numpy.dtype.subdtype
- numpy.dtype.type
- numpy.ediff1d
- numpy.einsum
- numpy.einsum_path
- numpy.empty
- numpy.empty_like
- numpy.equal
- numpy.errstate
- numpy.errstate.__call__
- numpy.exp
- numpy.exp2
- numpy.expand_dims
- numpy.expm1
- numpy.extract
- numpy.eye
- numpy.fabs
- 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
- numpy.fill_diagonal
- numpy.find_common_type
- numpy.finfo
- NumPy.finfo.machar
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- numpy.fix
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- numpy.flatnonzero
- numpy.flip
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- numpy.format_float_positional
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- numpy.format_parser
- numpy.frexp
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- numpy.full
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- numpy.gcd
- numpy.generic.__array__
- numpy.generic.__array_interface__
- numpy.generic.__array_priority__
- numpy.generic.__array_struct__
- numpy.generic.__array_wrap__
- numpy.generic.__reduce__
- numpy.generic.__setstate__
- numpy.generic.base
- numpy.generic.byteswap
- numpy.generic.data
- numpy.generic.dtype
- numpy.generic.flags
- numpy.generic.flat
- numpy.generic.imag
- numpy.generic.itemsize
- numpy.generic.ndim
- numpy.generic.real
- numpy.generic.setflags
- numpy.generic.shape
- numpy.generic.size
- numpy.generic.squeeze
- numpy.generic.strides
- numpy.generic.T
- numpy.genfromtxt
- numpy.geomspace
- numpy.get_include
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- numpy.getbufsize
- numpy.geterr
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- numpy.geterrobj
- numpy.gradient
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- numpy.hamming
- numpy.hanning
- numpy.heaviside
- numpy.histogram
- numpy.histogram2d
- numpy.histogram_bin_edges
- numpy.histogramdd
- numpy.hsplit
- numpy.hstack
- numpy.hypot
- numpy.i0
- numpy.i: a SWIG Interface File for NumPy
- numpy.identity
- numpy.iinfo
- numpy.imag
- numpy.in1d
- numpy.indices
- numpy.info
- numpy.inner
- numpy.insert
- numpy.interp
- numpy.intersect1d
- numpy.invert
- numpy.is_busday
- numpy.isclose
- numpy.iscomplex
- numpy.iscomplexobj
- numpy.isfinite
- numpy.isfortran
- numpy.isin
- numpy.isinf
- numpy.isnan
- numpy.isnat
- numpy.isneginf
- numpy.isposinf
- numpy.isreal
- numpy.isrealobj
- numpy.isscalar
- numpy.issctype
- numpy.issubclass_
- numpy.issubdtype
- numpy.issubsctype
- numpy.ix_
- numpy.kaiser
- numpy.kron
- numpy.lcm
- numpy.ldexp
- numpy.left_shift
- numpy.less
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- numpy.lexsort
- numpy.lib.arraysetops
- numpy.lib.Arrayterator
- numpy.lib.format
- numpy.lib.format.descr_to_dtype
- numpy.lib.format.dtype_to_descr
- numpy.lib.format.header_data_from_array_1_0
- numpy.lib.format.magic
- numpy.lib.format.open_memmap
- numpy.lib.format.read_array
- numpy.lib.format.read_array_header_1_0
- numpy.lib.format.read_array_header_2_0
- numpy.lib.format.read_magic
- numpy.lib.format.write_array
- numpy.lib.format.write_array_header_1_0
- numpy.lib.format.write_array_header_2_0
- numpy.lib.mixins.NDArrayOperatorsMixin
- numpy.lib.NumpyVersion
- numpy.lib.scimath.arccos
- numpy.lib.scimath.arcsin
- numpy.lib.scimath.arctanh
- numpy.lib.scimath.log
- numpy.lib.scimath.log10
- numpy.lib.scimath.log2
- numpy.lib.scimath.logn
- numpy.lib.scimath.power
- numpy.lib.scimath.sqrt
- numpy.lib.stride_tricks.as_strided
- numpy.lib.stride_tricks.sliding_window_view
- numpy.lib.user_array.container
- 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.linspace
- numpy.load
- numpy.loadtxt
- numpy.log
- numpy.log10
- numpy.log1p
- numpy.log2
- numpy.logaddexp
- numpy.logaddexp2
- numpy.logical_and
- numpy.logical_not
- numpy.logical_or
- numpy.logical_xor
- numpy.logspace
- numpy.lookfor
- 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.apply_over_axes
- 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.diff
- numpy.ma.dot
- numpy.ma.dstack
- 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.isarray
- numpy.ma.isMA
- numpy.ma.isMaskedArray
- 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_array.mask
- 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.MaskedArray.all
- numpy.ma.MaskedArray.anom
- numpy.ma.MaskedArray.any
- numpy.ma.MaskedArray.argmax
- numpy.ma.MaskedArray.argmin
- numpy.ma.MaskedArray.argsort
- numpy.ma.MaskedArray.clip
- numpy.ma.MaskedArray.compressed
- numpy.ma.MaskedArray.copy
- numpy.ma.MaskedArray.count
- numpy.ma.MaskedArray.cumprod
- numpy.ma.MaskedArray.cumsum
- numpy.ma.MaskedArray.filled
- numpy.ma.MaskedArray.flatten
- numpy.ma.MaskedArray.get_fill_value
- numpy.ma.MaskedArray.harden_mask
- numpy.ma.MaskedArray.max
- numpy.ma.MaskedArray.mean
- numpy.ma.MaskedArray.min
- numpy.ma.MaskedArray.nonzero
- numpy.ma.MaskedArray.prod
- numpy.ma.MaskedArray.ptp
- numpy.ma.MaskedArray.ravel
- numpy.ma.MaskedArray.reshape
- numpy.ma.MaskedArray.resize
- numpy.ma.MaskedArray.round
- numpy.ma.MaskedArray.set_fill_value
- numpy.ma.MaskedArray.shrink_mask
- numpy.ma.MaskedArray.soften_mask
- numpy.ma.MaskedArray.sort
- numpy.ma.MaskedArray.squeeze
- numpy.ma.MaskedArray.std
- numpy.ma.MaskedArray.sum
- numpy.ma.MaskedArray.swapaxes
- numpy.ma.MaskedArray.tobytes
- numpy.ma.MaskedArray.tofile
- numpy.ma.MaskedArray.tolist
- numpy.ma.MaskedArray.torecords
- numpy.ma.MaskedArray.trace
- numpy.ma.MaskedArray.transpose
- numpy.ma.MaskedArray.unshare_mask
- numpy.ma.MaskedArray.var
- numpy.ma.MaskType
- numpy.ma.max
- numpy.ma.maximum_fill_value
- numpy.ma.mean
- numpy.ma.median
- numpy.ma.min
- numpy.ma.minimum_fill_value
- numpy.ma.mr_
- numpy.ma.nonzero
- numpy.ma.notmasked_contiguous
- numpy.ma.notmasked_edges
- numpy.ma.ones
- numpy.ma.ones_like
- 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.stack
- 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
- numpy.ma.zeros_like
- numpy.MachAr
- numpy.mask_indices
- numpy.mat
- numpy.matlib.empty
- numpy.matlib.eye
- numpy.matlib.identity
- numpy.matlib.ones
- numpy.matlib.rand
- numpy.matlib.randn
- numpy.matlib.repmat
- numpy.matlib.zeros
- numpy.matmul
- numpy.matrix
- numpy.matrix.A
- numpy.matrix.all
- numpy.matrix.any
- numpy.matrix.argmax
- numpy.matrix.argmin
- numpy.matrix.argpartition
- numpy.matrix.argsort
- numpy.matrix.astype
- numpy.matrix.byteswap
- numpy.matrix.choose
- numpy.matrix.clip
- numpy.matrix.compress
- numpy.matrix.conj
- numpy.matrix.conjugate
- numpy.matrix.copy
- numpy.matrix.cumprod
- numpy.matrix.cumsum
- numpy.matrix.diagonal
- numpy.matrix.dump
- numpy.matrix.dumps
- numpy.matrix.fill
- numpy.matrix.flatten
- numpy.matrix.getA
- numpy.matrix.getA1
- numpy.matrix.getfield
- numpy.matrix.getH
- numpy.matrix.getI
- numpy.matrix.getT
- numpy.matrix.H
- numpy.matrix.I
- numpy.matrix.item
- numpy.matrix.itemset
- numpy.matrix.max
- numpy.matrix.mean
- numpy.matrix.min
- numpy.matrix.newbyteorder
- numpy.matrix.nonzero
- numpy.matrix.partition
- numpy.matrix.prod
- numpy.matrix.ptp
- numpy.matrix.put
- numpy.matrix.ravel
- numpy.matrix.repeat
- numpy.matrix.reshape
- numpy.matrix.resize
- numpy.matrix.round
- numpy.matrix.searchsorted
- numpy.matrix.setfield
- numpy.matrix.setflags
- numpy.matrix.sort
- numpy.matrix.squeeze
- numpy.matrix.std
- numpy.matrix.sum
- numpy.matrix.swapaxes
- numpy.matrix.T
- numpy.matrix.take
- numpy.matrix.tobytes
- numpy.matrix.tofile
- numpy.matrix.tolist
- numpy.matrix.tostring
- numpy.matrix.trace
- numpy.matrix.transpose
- numpy.matrix.var
- numpy.matrix.view
- numpy.maximum
- numpy.maximum_sctype
- numpy.may_share_memory
- numpy.mean
- numpy.median
- numpy.memmap
- numpy.memmap.flush
- numpy.meshgrid
- numpy.mgrid
- numpy.min_scalar_type
- numpy.minimum
- numpy.mintypecode
- numpy.mod
- numpy.modf
- numpy.moveaxis
- numpy.msort
- numpy.multiply
- numpy.nan_to_num
- numpy.nanargmax
- numpy.nanargmin
- numpy.nancumprod
- numpy.nancumsum
- numpy.nanmax
- numpy.nanmean
- numpy.nanmedian
- numpy.nanmin
- numpy.nanpercentile
- numpy.nanprod
- numpy.nanquantile
- numpy.nanstd
- numpy.nansum
- numpy.nanvar
- numpy.ndarray
- numpy.ndarray.__abs__
- numpy.ndarray.__add__
- numpy.ndarray.__and__
- numpy.ndarray.__array__
- numpy.ndarray.__array_wrap__
- numpy.ndarray.__bool__
- numpy.ndarray.__class_getitem__
- numpy.ndarray.__complex__
- numpy.ndarray.__contains__
- numpy.ndarray.__copy__
- numpy.ndarray.__deepcopy__
- numpy.ndarray.__divmod__
- numpy.ndarray.__eq__
- numpy.ndarray.__float__
- numpy.ndarray.__floordiv__
- numpy.ndarray.__ge__
- numpy.ndarray.__getitem__
- numpy.ndarray.__gt__
- numpy.ndarray.__iadd__
- numpy.ndarray.__iand__
- numpy.ndarray.__ifloordiv__
- numpy.ndarray.__ilshift__
- numpy.ndarray.__imod__
- numpy.ndarray.__imul__
- numpy.ndarray.__int__
- numpy.ndarray.__invert__
- numpy.ndarray.__ior__
- numpy.ndarray.__ipow__
- numpy.ndarray.__irshift__
- numpy.ndarray.__isub__
- numpy.ndarray.__itruediv__
- numpy.ndarray.__ixor__
- numpy.ndarray.__le__
- numpy.ndarray.__len__
- numpy.ndarray.__lshift__
- numpy.ndarray.__lt__
- numpy.ndarray.__matmul__
- numpy.ndarray.__mod__
- numpy.ndarray.__mul__
- numpy.ndarray.__ne__
- numpy.ndarray.__neg__
- numpy.ndarray.__new__
- numpy.ndarray.__or__
- numpy.ndarray.__pos__
- numpy.ndarray.__pow__
- numpy.ndarray.__reduce__
- numpy.ndarray.__repr__
- numpy.ndarray.__rshift__
- numpy.ndarray.__setitem__
- numpy.ndarray.__setstate__
- numpy.ndarray.__str__
- numpy.ndarray.__sub__
- numpy.ndarray.__truediv__
- numpy.ndarray.__xor__
- numpy.ndarray.all
- numpy.ndarray.any
- numpy.ndarray.argmax
- numpy.ndarray.argmin
- numpy.ndarray.argpartition
- numpy.ndarray.argsort
- numpy.ndarray.astype
- numpy.ndarray.base
- numpy.ndarray.byteswap
- numpy.ndarray.choose
- numpy.ndarray.clip
- numpy.ndarray.compress
- numpy.ndarray.conj
- numpy.ndarray.conjugate
- numpy.ndarray.copy
- numpy.ndarray.ctypes
- numpy.ndarray.cumprod
- numpy.ndarray.cumsum
- numpy.ndarray.data
- numpy.ndarray.diagonal
- numpy.ndarray.dtype
- numpy.ndarray.dump
- numpy.ndarray.dumps
- numpy.ndarray.fill
- numpy.ndarray.flags
- numpy.ndarray.flat
- numpy.ndarray.flatten
- numpy.ndarray.getfield
- numpy.ndarray.imag
- numpy.ndarray.item
- numpy.ndarray.itemset
- numpy.ndarray.itemsize
- numpy.ndarray.max
- numpy.ndarray.mean
- numpy.ndarray.min
- numpy.ndarray.nbytes
- numpy.ndarray.ndim
- numpy.ndarray.newbyteorder
- numpy.ndarray.nonzero
- numpy.ndarray.partition
- numpy.ndarray.prod
- numpy.ndarray.ptp
- numpy.ndarray.put
- numpy.ndarray.ravel
- numpy.ndarray.real
- numpy.ndarray.repeat
- numpy.ndarray.reshape
- numpy.ndarray.resize
- numpy.ndarray.round
- numpy.ndarray.searchsorted
- numpy.ndarray.setfield
- numpy.ndarray.setflags
- numpy.ndarray.shape
- numpy.ndarray.size
- numpy.ndarray.sort
- numpy.ndarray.squeeze
- numpy.ndarray.std
- numpy.ndarray.strides
- numpy.ndarray.sum
- numpy.ndarray.swapaxes
- numpy.ndarray.T
- numpy.ndarray.take
- numpy.ndarray.tobytes
- numpy.ndarray.tofile
- numpy.ndarray.tolist
- numpy.ndarray.tostring
- numpy.ndarray.trace
- numpy.ndarray.transpose
- numpy.ndarray.var
- numpy.ndarray.view
- numpy.ndenumerate
- numpy.ndindex
- numpy.ndindex.ndincr
- numpy.nditer
- numpy.nditer.close
- numpy.nditer.copy
- numpy.nditer.debug_print
- numpy.nditer.enable_external_loop
- numpy.nditer.iternext
- numpy.nditer.remove_axis
- numpy.nditer.remove_multi_index
- numpy.nditer.reset
- numpy.negative
- numpy.nested_iters
- numpy.nextafter
- numpy.nonzero
- numpy.not_equal
- numpy.number.__class_getitem__
- numpy.obj2sctype
- numpy.ogrid
- numpy.ones
- numpy.ones_like
- numpy.outer
- numpy.packbits
- numpy.pad
- numpy.partition
- numpy.percentile
- numpy.piecewise
- numpy.place
- 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.chebinterpolate
- numpy.polynomial.chebyshev.chebline
- numpy.polynomial.chebyshev.chebmul
- numpy.polynomial.chebyshev.chebmulx
- numpy.polynomial.chebyshev.chebone
- numpy.polynomial.chebyshev.chebpow
- numpy.polynomial.chebyshev.chebpts1
- numpy.polynomial.chebyshev.chebpts2
- 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.Chebyshev()
- polynomial.chebyshev.Chebyshev.__call__()
- polynomial.chebyshev.Chebyshev.basis()
- polynomial.chebyshev.Chebyshev.cast()
- polynomial.chebyshev.Chebyshev.convert()
- polynomial.chebyshev.Chebyshev.copy()
- polynomial.chebyshev.Chebyshev.cutdeg()
- polynomial.chebyshev.Chebyshev.degree()
- polynomial.chebyshev.Chebyshev.deriv()
- polynomial.chebyshev.Chebyshev.fit()
- polynomial.chebyshev.Chebyshev.fromroots()
- polynomial.chebyshev.Chebyshev.has_samecoef()
- polynomial.chebyshev.Chebyshev.has_samedomain()
- polynomial.chebyshev.Chebyshev.has_sametype()
- polynomial.chebyshev.Chebyshev.has_samewindow()
- polynomial.chebyshev.Chebyshev.identity()
- polynomial.chebyshev.Chebyshev.integ()
- polynomial.chebyshev.Chebyshev.interpolate()
- polynomial.chebyshev.Chebyshev.linspace()
- polynomial.chebyshev.Chebyshev.mapparms()
- polynomial.chebyshev.Chebyshev.roots()
- polynomial.chebyshev.Chebyshev.trim()
- polynomial.chebyshev.Chebyshev.truncate()
- 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.Hermite()
- polynomial.hermite.Hermite.__call__()
- polynomial.hermite.Hermite.basis()
- polynomial.hermite.Hermite.cast()
- polynomial.hermite.Hermite.convert()
- polynomial.hermite.Hermite.copy()
- polynomial.hermite.Hermite.cutdeg()
- polynomial.hermite.Hermite.degree()
- polynomial.hermite.Hermite.deriv()
- polynomial.hermite.Hermite.fit()
- polynomial.hermite.Hermite.fromroots()
- polynomial.hermite.Hermite.has_samecoef()
- polynomial.hermite.Hermite.has_samedomain()
- polynomial.hermite.Hermite.has_sametype()
- polynomial.hermite.Hermite.has_samewindow()
- polynomial.hermite.Hermite.identity()
- polynomial.hermite.Hermite.integ()
- polynomial.hermite.Hermite.linspace()
- polynomial.hermite.Hermite.mapparms()
- polynomial.hermite.Hermite.roots()
- polynomial.hermite.Hermite.trim()
- polynomial.hermite.Hermite.truncate()
- 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.HermiteE()
- polynomial.hermite_e.HermiteE.__call__()
- polynomial.hermite_e.HermiteE.basis()
- polynomial.hermite_e.HermiteE.cast()
- polynomial.hermite_e.HermiteE.convert()
- polynomial.hermite_e.HermiteE.copy()
- polynomial.hermite_e.HermiteE.cutdeg()
- polynomial.hermite_e.HermiteE.degree()
- polynomial.hermite_e.HermiteE.deriv()
- polynomial.hermite_e.HermiteE.fit()
- polynomial.hermite_e.HermiteE.fromroots()
- polynomial.hermite_e.HermiteE.has_samecoef()
- polynomial.hermite_e.HermiteE.has_samedomain()
- polynomial.hermite_e.HermiteE.has_sametype()
- polynomial.hermite_e.HermiteE.has_samewindow()
- polynomial.hermite_e.HermiteE.identity()
- polynomial.hermite_e.HermiteE.integ()
- polynomial.hermite_e.HermiteE.linspace()
- polynomial.hermite_e.HermiteE.mapparms()
- polynomial.hermite_e.HermiteE.roots()
- polynomial.hermite_e.HermiteE.trim()
- polynomial.hermite_e.HermiteE.truncate()
- 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.Laguerre()
- polynomial.laguerre.Laguerre.__call__()
- polynomial.laguerre.Laguerre.basis()
- polynomial.laguerre.Laguerre.cast()
- polynomial.laguerre.Laguerre.convert()
- polynomial.laguerre.Laguerre.copy()
- polynomial.laguerre.Laguerre.cutdeg()
- polynomial.laguerre.Laguerre.degree()
- polynomial.laguerre.Laguerre.deriv()
- polynomial.laguerre.Laguerre.fit()
- polynomial.laguerre.Laguerre.fromroots()
- polynomial.laguerre.Laguerre.has_samecoef()
- polynomial.laguerre.Laguerre.has_samedomain()
- polynomial.laguerre.Laguerre.has_sametype()
- polynomial.laguerre.Laguerre.has_samewindow()
- polynomial.laguerre.Laguerre.identity()
- polynomial.laguerre.Laguerre.integ()
- polynomial.laguerre.Laguerre.linspace()
- polynomial.laguerre.Laguerre.mapparms()
- polynomial.laguerre.Laguerre.roots()
- polynomial.laguerre.Laguerre.trim()
- polynomial.laguerre.Laguerre.truncate()
- 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.Legendre()
- polynomial.legendre.Legendre.__call__()
- polynomial.legendre.Legendre.basis()
- polynomial.legendre.Legendre.cast()
- polynomial.legendre.Legendre.convert()
- polynomial.legendre.Legendre.copy()
- polynomial.legendre.Legendre.cutdeg()
- polynomial.legendre.Legendre.degree()
- polynomial.legendre.Legendre.deriv()
- polynomial.legendre.Legendre.fit()
- polynomial.legendre.Legendre.fromroots()
- polynomial.legendre.Legendre.has_samecoef()
- polynomial.legendre.Legendre.has_samedomain()
- polynomial.legendre.Legendre.has_sametype()
- polynomial.legendre.Legendre.has_samewindow()
- polynomial.legendre.Legendre.identity()
- polynomial.legendre.Legendre.integ()
- polynomial.legendre.Legendre.linspace()
- polynomial.legendre.Legendre.mapparms()
- polynomial.legendre.Legendre.roots()
- polynomial.legendre.Legendre.trim()
- polynomial.legendre.Legendre.truncate()
- 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.Polynomial()
- polynomial.polynomial.Polynomial.__call__()
- polynomial.polynomial.Polynomial.basis()
- polynomial.polynomial.Polynomial.cast()
- polynomial.polynomial.Polynomial.convert()
- polynomial.polynomial.Polynomial.copy()
- polynomial.polynomial.Polynomial.cutdeg()
- polynomial.polynomial.Polynomial.degree()
- polynomial.polynomial.Polynomial.deriv()
- polynomial.polynomial.Polynomial.fit()
- polynomial.polynomial.Polynomial.fromroots()
- polynomial.polynomial.Polynomial.has_samecoef()
- polynomial.polynomial.Polynomial.has_samedomain()
- polynomial.polynomial.Polynomial.has_sametype()
- polynomial.polynomial.Polynomial.has_samewindow()
- polynomial.polynomial.Polynomial.identity()
- polynomial.polynomial.Polynomial.integ()
- polynomial.polynomial.Polynomial.linspace()
- polynomial.polynomial.Polynomial.mapparms()
- polynomial.polynomial.Polynomial.roots()
- polynomial.polynomial.Polynomial.trim()
- polynomial.polynomial.Polynomial.truncate()
- 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.polynomial.polyutils.as_series
- numpy.polynomial.polyutils.getdomain
- numpy.polynomial.polyutils.mapdomain
- numpy.polynomial.polyutils.mapparms
- numpy.polynomial.polyutils.RankWarning
- numpy.polynomial.polyutils.trimcoef
- numpy.polynomial.polyutils.trimseq
- numpy.polysub
- numpy.polyval
- numpy.positive
- numpy.power
- numpy.printoptions
- numpy.prod
- numpy.promote_types
- numpy.ptp
- numpy.put
- numpy.put_along_axis
- numpy.putmask
- numpy.quantile
- numpy.r_
- numpy.rad2deg
- numpy.radians
- numpy.random.beta
- numpy.random.binomial
- numpy.random.BitGenerator
- numpy.random.bytes
- numpy.random.chisquare
- numpy.random.choice
- numpy.random.dirichlet
- numpy.random.exponential
- numpy.random.f
- numpy.random.gamma
- numpy.random.Generator.beta
- numpy.random.Generator.binomial
- numpy.random.Generator.bit_generator
- numpy.random.Generator.bytes
- numpy.random.Generator.chisquare
- numpy.random.Generator.choice
- numpy.random.Generator.dirichlet
- numpy.random.Generator.exponential
- numpy.random.Generator.f
- numpy.random.Generator.gamma
- numpy.random.Generator.geometric
- numpy.random.Generator.gumbel
- numpy.random.Generator.hypergeometric
- numpy.random.Generator.integers
- numpy.random.Generator.laplace
- numpy.random.Generator.logistic
- numpy.random.Generator.lognormal
- numpy.random.Generator.logseries
- numpy.random.Generator.multinomial
- numpy.random.Generator.multivariate_hypergeometric
- numpy.random.Generator.multivariate_normal
- numpy.random.Generator.negative_binomial
- numpy.random.Generator.noncentral_chisquare
- numpy.random.Generator.noncentral_f
- numpy.random.Generator.normal
- numpy.random.Generator.pareto
- numpy.random.Generator.permutation
- numpy.random.Generator.permuted
- numpy.random.Generator.poisson
- numpy.random.Generator.power
- numpy.random.Generator.random
- numpy.random.Generator.rayleigh
- numpy.random.Generator.shuffle
- numpy.random.Generator.standard_cauchy
- numpy.random.Generator.standard_exponential
- numpy.random.Generator.standard_gamma
- numpy.random.Generator.standard_normal
- numpy.random.Generator.standard_t
- numpy.random.Generator.triangular
- numpy.random.Generator.uniform
- numpy.random.Generator.vonmises
- numpy.random.Generator.wald
- numpy.random.Generator.weibull
- numpy.random.Generator.zipf
- 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.RandomState.beta
- numpy.random.RandomState.binomial
- numpy.random.RandomState.bytes
- numpy.random.RandomState.chisquare
- numpy.random.RandomState.choice
- numpy.random.RandomState.dirichlet
- numpy.random.RandomState.exponential
- numpy.random.RandomState.f
- numpy.random.RandomState.gamma
- numpy.random.RandomState.geometric
- numpy.random.RandomState.get_state
- numpy.random.RandomState.gumbel
- numpy.random.RandomState.hypergeometric
- numpy.random.RandomState.laplace
- numpy.random.RandomState.logistic
- numpy.random.RandomState.lognormal
- numpy.random.RandomState.logseries
- numpy.random.RandomState.multinomial
- numpy.random.RandomState.multivariate_normal
- numpy.random.RandomState.negative_binomial
- numpy.random.RandomState.noncentral_chisquare
- numpy.random.RandomState.noncentral_f
- numpy.random.RandomState.normal
- numpy.random.RandomState.pareto
- numpy.random.RandomState.permutation
- numpy.random.RandomState.poisson
- numpy.random.RandomState.power
- numpy.random.RandomState.rand
- numpy.random.RandomState.randint
- numpy.random.RandomState.randn
- numpy.random.RandomState.random_integers
- numpy.random.RandomState.random_sample
- numpy.random.RandomState.rayleigh
- numpy.random.RandomState.seed
- numpy.random.RandomState.set_state
- numpy.random.RandomState.shuffle
- numpy.random.RandomState.standard_cauchy
- numpy.random.RandomState.standard_exponential
- numpy.random.RandomState.standard_gamma
- numpy.random.RandomState.standard_normal
- numpy.random.RandomState.standard_t
- numpy.random.RandomState.triangular
- numpy.random.RandomState.uniform
- numpy.random.RandomState.vonmises
- numpy.random.RandomState.wald
- numpy.random.RandomState.weibull
- numpy.random.RandomState.zipf
- 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
- numpy.RankWarning
- numpy.ravel
- numpy.ravel_multi_index
- numpy.real
- numpy.real_if_close
- numpy.recarray
- numpy.recarray.all
- numpy.recarray.any
- numpy.recarray.argmax
- numpy.recarray.argmin
- numpy.recarray.argpartition
- numpy.recarray.argsort
- numpy.recarray.astype
- numpy.recarray.byteswap
- numpy.recarray.choose
- numpy.recarray.clip
- numpy.recarray.compress
- numpy.recarray.conj
- numpy.recarray.conjugate
- numpy.recarray.copy
- numpy.recarray.cumprod
- numpy.recarray.cumsum
- numpy.recarray.diagonal
- numpy.recarray.dump
- numpy.recarray.dumps
- numpy.recarray.fill
- numpy.recarray.flatten
- numpy.recarray.getfield
- numpy.recarray.item
- numpy.recarray.itemset
- numpy.recarray.max
- numpy.recarray.mean
- numpy.recarray.min
- numpy.recarray.newbyteorder
- numpy.recarray.nonzero
- numpy.recarray.partition
- numpy.recarray.prod
- numpy.recarray.ptp
- numpy.recarray.put
- numpy.recarray.ravel
- numpy.recarray.repeat
- numpy.recarray.reshape
- numpy.recarray.resize
- numpy.recarray.round
- numpy.recarray.searchsorted
- numpy.recarray.setfield
- numpy.recarray.setflags
- numpy.recarray.sort
- numpy.recarray.squeeze
- numpy.recarray.std
- numpy.recarray.sum
- numpy.recarray.swapaxes
- numpy.recarray.take
- numpy.recarray.tobytes
- numpy.recarray.tofile
- numpy.recarray.tolist
- numpy.recarray.tostring
- numpy.recarray.trace
- numpy.recarray.transpose
- numpy.recarray.var
- numpy.recarray.view
- numpy.reciprocal
- numpy.record
- numpy.record.all
- numpy.record.any
- numpy.record.argmax
- numpy.record.argmin
- numpy.record.argsort
- numpy.record.astype
- numpy.record.byteswap
- numpy.record.choose
- numpy.record.clip
- numpy.record.compress
- numpy.record.conjugate
- numpy.record.copy
- numpy.record.cumprod
- numpy.record.cumsum
- numpy.record.diagonal
- numpy.record.dump
- numpy.record.dumps
- numpy.record.fill
- numpy.record.flatten
- numpy.record.getfield
- numpy.record.item
- numpy.record.itemset
- numpy.record.max
- numpy.record.mean
- numpy.record.min
- numpy.record.newbyteorder
- numpy.record.nonzero
- numpy.record.pprint
- numpy.record.prod
- numpy.record.ptp
- numpy.record.put
- numpy.record.ravel
- numpy.record.repeat
- numpy.record.reshape
- numpy.record.resize
- numpy.record.round
- numpy.record.searchsorted
- numpy.record.setfield
- numpy.record.setflags
- numpy.record.sort
- numpy.record.squeeze
- numpy.record.std
- numpy.record.sum
- numpy.record.swapaxes
- numpy.record.take
- numpy.record.tofile
- numpy.record.tolist
- numpy.record.tostring
- numpy.record.trace
- numpy.record.transpose
- numpy.record.var
- numpy.record.view
- numpy.remainder
- numpy.repeat
- numpy.require
- numpy.reshape
- numpy.resize
- numpy.result_type
- numpy.right_shift
- numpy.rint
- numpy.roll
- numpy.rollaxis
- numpy.roots
- numpy.rot90
- numpy.round_
- numpy.row_stack
- numpy.s_
- numpy.save
- numpy.savetxt
- numpy.savez
- numpy.savez_compressed
- numpy.sctype2char
- numpy.searchsorted
- numpy.select
- numpy.set_printoptions
- numpy.set_string_function
- numpy.setbufsize
- numpy.setdiff1d
- numpy.seterr
- numpy.seterrcall
- numpy.seterrobj
- numpy.setxor1d
- numpy.shape
- numpy.shares_memory
- numpy.show_config
- numpy.sign
- numpy.signbit
- numpy.sin
- numpy.sinc
- numpy.sinh
- numpy.sort
- numpy.sort_complex
- numpy.source
- numpy.spacing
- numpy.split
- numpy.sqrt
- numpy.square
- numpy.squeeze
- numpy.stack
- numpy.std
- numpy.subtract
- numpy.sum
- numpy.swapaxes
- numpy.take
- numpy.take_along_axis
- numpy.tan
- numpy.tanh
- numpy.tensordot
- 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.dec.deprecated
- numpy.testing.dec.knownfailureif
- numpy.testing.dec.setastest
- numpy.testing.dec.skipif
- numpy.testing.dec.slow
- numpy.testing.decorate_methods
- numpy.testing.run_module_suite
- numpy.testing.rundocs
- numpy.testing.suppress_warnings
- numpy.testing.suppress_warnings.__call__
- numpy.testing.suppress_warnings.filter
- numpy.testing.suppress_warnings.record
- numpy.testing.Tester
- numpy.tile
- numpy.trace
- numpy.transpose
- numpy.trapz
- numpy.tri
- numpy.tril
- numpy.tril_indices
- numpy.tril_indices_from
- numpy.trim_zeros
- numpy.triu
- numpy.triu_indices
- numpy.triu_indices_from
- numpy.true_divide
- numpy.trunc
- numpy.typename
- numpy.ufunc
- numpy.ufunc.__call__
- numpy.ufunc.accumulate
- numpy.ufunc.at
- numpy.ufunc.identity
- numpy.ufunc.nargs
- numpy.ufunc.nin
- numpy.ufunc.nout
- numpy.ufunc.ntypes
- numpy.ufunc.outer
- numpy.ufunc.reduce
- numpy.ufunc.reduceat
- numpy.ufunc.signature
- numpy.ufunc.types
- numpy.union1d
- numpy.unique
- numpy.unpackbits
- numpy.unravel_index
- numpy.unwrap
- numpy.vander
- numpy.var
- numpy.vdot
- numpy.vectorize
- numpy.vectorize.__call__
- numpy.vsplit
- numpy.vstack
- numpy.where
- numpy.who
- numpy.zeros
- numpy.zeros_like
- Optionally SciPy-accelerated routines ( numpy.dual )
-
Packaging (
numpy.distutils
)
- add_data_dir()
- add_data_files()
- add_extension()
- add_headers()
- add_include_dirs()
- add_installed_library()
- add_library()
- add_npy_pkg_config()
- add_scripts()
- add_subpackage()
- get_build_temp_dir()
- get_config_cmd()
- get_distribution()
- get_info()
- get_subpackage()
- get_version()
- have_f77c()
- have_f90c()
- make_config_py()
- make_svn_version_py()
- Parameters
- paths()
- Padding Arrays
- Parallel Applications
- PCG64
- PCG64DXSM
- Philox
- Poly1d
-
Polynomials
- 1
- polynomial.chebyshev.Chebyshev.domain
- polynomial.hermite.Hermite.domain
- polynomial.hermite_e.HermiteE.domain
- polynomial.laguerre.Laguerre.domain
- polynomial.legendre.Legendre.domain
- polynomial.polynomial.Polynomial.domain
- polynomial.set_default_printstyle()
- property poly1d.c
- property poly1d.coef
- property poly1d.coefficients
- property poly1d.coeffs
- property poly1d.o
- property poly1d.order
- property poly1d.r
- property poly1d.variable
- Polyutils
- Power Series ( numpy.polynomial.polynomial )
-
Python Types and C-Structures
- char *core_signature
- char *data
- char *dataptr
- char *doc
- char *name
- char *types
- char byteorder
- char flags
- char kind
- char type
- char typekind
- int **cancastscalarkindto
- int *cancastto
- int *core_dim_ixs
- int *core_num_dims
- int *core_offsets
- int alignment
- int argmax()
- int argmin()
- int argsort()
- int compare()
- int core_enabled
- int core_num_dim_ix
- int elsize
- int flags
- int flags
- int flags
- int fromstr()
- int identity
- int itemsize
- int len
- int nargs
- int nd
- int nd
- int nd
- int nout
- int ntypes
- int PyDataType_FLAGCHK()
- int PyDataType_REFCHK()
- int reserved1
- int scanfunc()
- int setitem()
- int sort()
- npy_bool contiguous
- npy_bool nonzero()
- npy_hash_t *hash
- npy_intp *backstrides
- npy_intp *coordinates
- npy_intp *core_dim_sizes
- npy_intp *dimensions
- npy_intp *dims_m1
- npy_intp *factors
- npy_intp *shape
- npy_intp *strides
- npy_intp *strides
- npy_intp *strides
- npy_intp dimensions
- npy_intp index
- npy_intp index
- npy_intp len
- npy_intp size
- npy_intp size
- NPY_ITEM_IS_POINTER
- NPY_ITEM_REFCOUNT
- NPY_LIST_PICKLE
- NPY_NEEDS_INIT
- NPY_NEEDS_PYAPI
- NPY_OBJECT_DTYPE_FLAGS
- NPY_SCALARKIND scalarkind()
- npy_uint32 *core_dim_flags
- npy_uint32 iter_flags
- npy_uint32 op_flags
- NPY_USE_GETITEM
- NPY_USE_SETITEM
- NpyAuxData *c_metadata
- PyArray_ArrayDescr *subarray
- PyArray_ArrFuncs *f
- PyArray_Descr *descr
- PyArrayIterObject **iters
- PyArrayObject *ao
- PyObject *base
- PyObject *castdict
- PyObject *descr
- PyObject *fields
- PyObject *getitem()
- PyObject *metadata
- PyObject *names
- PyObject *obj
- PyObject *shape
- PyObject *userloops
- PyObject *weakreflist
- PyTypeObject PyArray_Type
- PyTypeObject PyArrayMapIter_Type
- PyUFunc_LegacyInnerLoopSelectionFunc *legacy_inner_loop_selector
- PyUFunc_TypeResolutionFunc *type_resolver
- type NPY_AO
- type npy_hash_t
- type PyArray_ArrFuncs
- type PyArray_Descr
- type PyArrayFlagsObject
- type PyArrayIterObject
- type PyArrayMultiIterObject
- type PyArrayNeighborhoodIterObject
- type PyArrayObject
- type PyUFunc_Loop1d
- type PyUFuncObject
- type PyUFuncReduceObject
- UFUNC_CORE_DIM_CAN_IGNORE
- UFUNC_CORE_DIM_SIZE_INFERRED
- void **data
- void *data
- void *ptr
- void *ptr
- void *reserved2
- void copyswap()
- void copyswapn()
- void dotfunc()
- void fastclip()
- void fastputmask()
- void fasttake()
- void fill()
- void fillwithscalar()
- void functions()
- Random Generator
- Random sampling
- Random sampling ( numpy.random )
- Release notes
- Reporting bugs
- Routines
-
Scalars
- 1
- numpy.byte
- numpy.bytes_
- numpy.cdouble()
- numpy.cfloat
- numpy.clongdouble
- numpy.clongfloat
- numpy.complex128
- numpy.complex192
- numpy.complex256
- numpy.complex64
- numpy.complex_
- numpy.csingle
- numpy.datetime64
- numpy.double()
- numpy.flexible
- numpy.float128
- numpy.float16
- numpy.float32
- numpy.float64
- numpy.float96
- numpy.half
- numpy.int16
- numpy.int32
- numpy.int64
- numpy.int8
- numpy.int_
- numpy.intc
- numpy.intp
- numpy.longcomplex
- numpy.longdouble
- numpy.longfloat
- numpy.longlong
- numpy.number
- numpy.object_
- numpy.short
- numpy.single
- numpy.singlecomplex
- numpy.str_
- numpy.string_
- numpy.timedelta64
- numpy.ubyte
- numpy.uint
- numpy.uint16
- numpy.uint32
- numpy.uint64
- numpy.uint8
- numpy.uintc
- numpy.uintp
- numpy.ulonglong
- numpy.unicode_
- numpy.ushort
- numpy.void
- Set routines
- SFC64
- Signature file
- SIMD Optimizations
- Sorting, searching, and counting
-
Standard array subclasses
- broadcast.index
- broadcast.iters
- broadcast.nd
- broadcast.ndim
- broadcast.numiter
- broadcast.size
- class.__array__()
- class.__array_finalize__()
- class.__array_function__()
- class.__array_prepare__()
- class.__array_priority__
- class.__array_ufunc__()
- class.__array_wrap__()
- matrix.base
- matrix.ctypes
- matrix.data
- matrix.flags
- matrix.flat
- matrix.itemsize
- matrix.nbytes
- matrix.ndim
- matrix.size
- matrix.strides
- property matrix.A1
- recarray.base
- recarray.ctypes
- recarray.data
- recarray.flags
- recarray.flat
- recarray.itemsize
- recarray.nbytes
- recarray.ndim
- recarray.size
- recarray.strides
- recarray.T
- record.base
- record.data
- record.flags
- record.flat
- record.itemsize
- record.nbytes
- record.ndim
- record.size
- record.strides
- record.T
- Statistics
-
String operations
- char.chararray.base
- char.chararray.ctypes
- char.chararray.data
- char.chararray.dtype
- char.chararray.flags
- char.chararray.flat
- char.chararray.imag
- char.chararray.itemsize
- char.chararray.nbytes
- char.chararray.ndim
- char.chararray.real
- char.chararray.shape
- char.chararray.size
- char.chararray.strides
- char.chararray.T
- char.chararray.tobytes()
- chararray.base
- chararray.ctypes
- chararray.data
- chararray.flags
- chararray.flat
- chararray.itemsize
- chararray.nbytes
- chararray.ndim
- chararray.size
- chararray.strides
- chararray.T
- chararray.tobytes()
- String operations
-
System configuration
- int PyArray_GetEndianness()
- NPY_BIG_ENDIAN
- NPY_BYTE_ORDER
- NPY_CPU_AMD64
- NPY_CPU_IA64
- NPY_CPU_LITTLE
- NPY_CPU_PARISC
- NPY_CPU_PPC
- NPY_CPU_PPC64
- NPY_CPU_S390
- NPY_CPU_SPARC
- NPY_CPU_SPARC64
- NPY_CPU_UNKNOWN_ENDIAN
- NPY_LITTLE_ENDIAN
- NPY_SIGINT_OFF
- NPY_SIGINT_ON
- NPY_SIGJMP_BUF
- NPY_SIGLONGJMP
- NPY_SIGSETJMP
- NPY_SIZEOF_DOUBLE
- NPY_SIZEOF_FLOAT
- NPY_SIZEOF_INT
- NPY_SIZEOF_INTP
- NPY_SIZEOF_LONG
- NPY_SIZEOF_LONG_DOUBLE
- NPY_SIZEOF_LONGDOUBLE
- NPY_SIZEOF_LONGLONG
- NPY_SIZEOF_PY_INTPTR_T
- NPY_SIZEOF_PY_LONG_LONG
- NPY_SIZEOF_SHORT
- NPY_UNLIKELY
- NPY_UNUSED
- Test Support ( numpy.testing )
- Testing Guidelines
- Testing the numpy.i Typemaps
- The numpy.ma module
- The Array Interface
- The N-dimensional array ( ndarray )
- Three ways to wrap - getting started
- Typing ( numpy.typing )
-
UFunc API
- int PyUFunc_checkfperr()
- int PyUFunc_RegisterLoopForDescr()
- int PyUFunc_RegisterLoopForType()
- int PyUFunc_ReplaceLoopBySignature()
- NO_IMPORT_UFUNC
- NPY_LOOP_END_THREADS
- PyObject *PyUFunc_FromFuncAndDataAndSignature()
- PyObject *PyUFunc_FromFuncAndDataAndSignatureAndIdentity()
- PyUFunc_IdentityValue
- PyUFunc_MinusOne
- PyUFunc_None
- PyUFunc_ReorderableNone
- PyUFunc_Zero
- UFUNC_ERR_CALL
- UFUNC_ERR_RAISE
- UFUNC_ERR_WARN
- UFUNC_ERR_{HANDLER}
- UFUNC_FPE_DIVIDEBYZERO
- UFUNC_FPE_INVALID
- UFUNC_FPE_OVERFLOW
- UFUNC_FPE_UNDERFLOW
- UFUNC_MASK_INVALID
- UFUNC_MASK_OVERFLOW
- UFUNC_MASK_UNDERFLOW
- UFUNC_SHIFT_DIVIDEBYZERO
- UFUNC_SHIFT_INVALID
- UFUNC_SHIFT_OVERFLOW
- UFUNC_SHIFT_UNDERFLOW
- void import_ufunc()
- void PyUFunc_clearfperr()
- void PyUFunc_d_d()
- void PyUFunc_D_D()
- void PyUFunc_DD_D()
- void PyUFunc_dd_d()
- void PyUFunc_e_e()
- void PyUFunc_e_e_As_d_d()
- void PyUFunc_e_e_As_f_f()
- void PyUFunc_ee_e()
- void PyUFunc_ee_e_As_dd_d()
- void PyUFunc_ee_e_As_ff_f()
- void PyUFunc_F_F()
- void PyUFunc_f_f()
- void PyUFunc_F_F_As_D_D()
- void PyUFunc_ff_f()
- void PyUFunc_FF_F()
- void PyUFunc_ff_f_As_dd_d()
- void PyUFunc_FF_F_As_DD_D()
- void PyUFunc_g_g()
- void PyUFunc_G_G()
- void PyUFunc_GetPyValues()
- void PyUFunc_gg_g()
- void PyUFunc_GG_G()
- void PyUFunc_O_O()
- void PyUFunc_O_O_method()
- void PyUFunc_On_Om()
- void PyUFunc_OO_O()
- void PyUFunc_OO_O_method()
- Universal functions ( ufunc )
- Upgrading PCG64 with PCG64DXSM
-
User Guide
- 1
- Array creation
- Building from source
- Byte-swapping
- Copies and views
- Data types
- deletechars
- For downstream package authors
- How to write a NumPy how-to
- I/O with NumPy
- Indexing on ndarrays
- int PyModule_AddIntConstant()
- int PyModule_AddObject()
- int PyModule_AddStringConstant()
- Miscellaneous
- ndarray.ndim
- ndpointer()
- NumPy for MATLAB users
- NumPy fundamentals
- NumPy How Tos
- NumPy user guide
- numpy.lib.recfunctions.append_fields()
- numpy.lib.recfunctions.apply_along_fields()
- numpy.lib.recfunctions.assign_fields_by_name()
- numpy.lib.recfunctions.drop_fields()
- numpy.lib.recfunctions.find_duplicates()
- numpy.lib.recfunctions.flatten_descr()
- numpy.lib.recfunctions.get_fieldstructure()
- numpy.lib.recfunctions.get_names()
- numpy.lib.recfunctions.get_names_flat()
- numpy.lib.recfunctions.join_by()
- numpy.lib.recfunctions.merge_arrays()
- numpy.lib.recfunctions.rec_append_fields()
- numpy.lib.recfunctions.rec_drop_fields()
- numpy.lib.recfunctions.rec_join()
- numpy.lib.recfunctions.recursive_fill_fields()
- numpy.lib.recfunctions.rename_fields()
- numpy.lib.recfunctions.repack_fields()
- numpy.lib.recfunctions.require_fields()
- numpy.lib.recfunctions.stack_arrays()
- numpy.lib.recfunctions.structured_to_unstructured()
- numpy.lib.recfunctions.unstructured_to_structured()
- NumPy: the absolute basics for beginners
- Reading and writing files
- Subclassing ndarray
- Universal functions (ufunc) basics
- Using NumPy C-API
- void castfunc()
- What is NumPy?
- Writing custom array containers
- Writing your own ufunc
- Using F2PY
- Using F2PY bindings in Python
- Using the Convenience Classes
- Using via cmake
- Using via meson
- Using via numpy.distutils
- Using via scikit-build
- What’s New or Different
- Window functions