NumPy Documentation

Attributes

• ndarray.__array_finalize__
• ndarray.__array_priority__
• ndarray.__array_wrap__
• numpy.bool_
• numpy.broadcast.index
• numpy.broadcast.iters
• numpy.broadcast.nd
• numpy.broadcast.ndim
• numpy.broadcast.numiter
• numpy.broadcast.shape
• numpy.broadcast.size
• numpy.busdaycalendar.holidays
• numpy.busdaycalendar.weekmask
• numpy.char.chararray.T
• numpy.char.chararray.base
• numpy.char.chararray.ctypes
• numpy.char.chararray.data
• numpy.char.chararray.device
• numpy.char.chararray.dtype
• numpy.char.chararray.flags
• numpy.char.chararray.flat
• numpy.char.chararray.imag
• numpy.char.chararray.itemset
• numpy.char.chararray.itemsize
• numpy.char.chararray.mT
• numpy.char.chararray.nbytes
• numpy.char.chararray.ndim
• numpy.char.chararray.newbyteorder
• numpy.char.chararray.ptp
• numpy.char.chararray.real
• numpy.char.chararray.shape
• numpy.char.chararray.size
• numpy.char.chararray.strides
• numpy.class.__array_priority__
• numpy.complex128
• numpy.complex192
• numpy.complex256
• numpy.complex64
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_c_prefix
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_c_prefix_
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_cache_factors
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_cc_flags
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_check_path
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_features
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_min_features
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_nocache
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_noopt
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_target_groups
• numpy.distutils.ccompiler_opt.CCompilerOpt.conf_tmp_path
• 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.isalignedstruct
• numpy.dtype.isbuiltin
• numpy.dtype.isnative
• numpy.dtype.itemsize
• numpy.dtype.kind
• numpy.dtype.metadata
• numpy.dtype.name
• numpy.dtype.names
• numpy.dtype.ndim
• numpy.dtype.num
• numpy.dtype.shape
• numpy.dtype.str
• numpy.dtype.subdtype
• numpy.dtype.type
• numpy.dtypes.BoolDType
• numpy.dtypes.ByteDType
• numpy.dtypes.BytesDType
• numpy.dtypes.CLongDoubleDType
• numpy.dtypes.Complex128DType
• numpy.dtypes.Complex64DType
• numpy.dtypes.DateTime64DType
• numpy.dtypes.Float16DType
• numpy.dtypes.Float32DType
• numpy.dtypes.Float64DType
• numpy.dtypes.Int16DType
• numpy.dtypes.Int32DType
• numpy.dtypes.Int64DType
• numpy.dtypes.Int8DType
• numpy.dtypes.IntDType
• numpy.dtypes.LongDType
• numpy.dtypes.LongDoubleDType
• numpy.dtypes.LongLongDType
• numpy.dtypes.ObjectDType
• numpy.dtypes.ShortDType
• numpy.dtypes.StrDType
• numpy.dtypes.StringDType
• numpy.dtypes.TimeDelta64DType
• numpy.dtypes.UByteDType
• numpy.dtypes.UInt16DType
• numpy.dtypes.UInt32DType
• numpy.dtypes.UInt64DType
• numpy.dtypes.UInt8DType
• numpy.dtypes.UIntDType
• numpy.dtypes.ULongDType
• numpy.dtypes.ULongLongDType
• numpy.dtypes.UShortDType
• numpy.dtypes.VoidDType
• numpy.finfo.smallest_normal
• numpy.finfo.tiny
• numpy.flatiter.base
• numpy.flatiter.coords
• numpy.flatiter.index
• numpy.float128
• numpy.float16
• numpy.float32
• numpy.float64
• numpy.float96
• numpy.generic.T
• numpy.generic.__array_interface__
• numpy.generic.__array_priority__
• numpy.generic.__array_struct__
• numpy.generic.base
• 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.shape
• numpy.generic.size
• numpy.generic.strides
• numpy.iinfo.max
• numpy.iinfo.min
• numpy.int16
• numpy.int32
• numpy.int64
• numpy.int8
• numpy.intp
• numpy.lib.Arrayterator.flat
• numpy.lib.Arrayterator.shape
• numpy.lib.npyio.NpzFile.fid
• numpy.lib.npyio.NpzFile.zip
• numpy.long
• numpy.ma.MaskType
• numpy.ma.MaskType.T
• numpy.ma.MaskType.base
• numpy.ma.MaskType.data
• numpy.ma.MaskType.device
• numpy.ma.MaskType.dtype
• numpy.ma.MaskType.flags
• numpy.ma.MaskType.flat
• numpy.ma.MaskType.imag
• numpy.ma.MaskType.itemset
• numpy.ma.MaskType.itemsize
• numpy.ma.MaskType.nbytes
• numpy.ma.MaskType.ndim
• numpy.ma.MaskType.newbyteorder
• numpy.ma.MaskType.ptp
• numpy.ma.MaskType.real
• numpy.ma.MaskType.shape
• numpy.ma.MaskType.size
• numpy.ma.MaskType.strides
• numpy.ma.MaskedArray.T
• numpy.ma.MaskedArray.__array_priority__
• numpy.ma.MaskedArray.base
• numpy.ma.MaskedArray.baseclass
• numpy.ma.MaskedArray.ctypes
• numpy.ma.MaskedArray.data
• numpy.ma.MaskedArray.dtype
• numpy.ma.MaskedArray.fill_value
• numpy.ma.MaskedArray.flags
• numpy.ma.MaskedArray.flat
• numpy.ma.MaskedArray.hardmask
• numpy.ma.MaskedArray.imag
• numpy.ma.MaskedArray.itemsize
• numpy.ma.MaskedArray.mask
• numpy.ma.MaskedArray.nbytes
• numpy.ma.MaskedArray.ndim
• numpy.ma.MaskedArray.real
• numpy.ma.MaskedArray.recordmask
• numpy.ma.MaskedArray.shape
• numpy.ma.MaskedArray.sharedmask
• numpy.ma.MaskedArray.size
• numpy.ma.MaskedArray.strides
• numpy.ma.masked_array
• numpy.ma.masked_array.T
• numpy.ma.masked_array.base
• numpy.ma.masked_array.baseclass
• numpy.ma.masked_array.ctypes
• numpy.ma.masked_array.data
• numpy.ma.masked_array.device
• numpy.ma.masked_array.dtype
• numpy.ma.masked_array.fill_value
• numpy.ma.masked_array.flags
• numpy.ma.masked_array.flat
• numpy.ma.masked_array.hardmask
• numpy.ma.masked_array.imag
• numpy.ma.masked_array.itemset
• numpy.ma.masked_array.itemsize
• numpy.ma.masked_array.mT
• numpy.ma.masked_array.mask
• numpy.ma.masked_array.nbytes
• numpy.ma.masked_array.ndim
• numpy.ma.masked_array.newbyteorder
• numpy.ma.masked_array.real
• numpy.ma.masked_array.recordmask
• numpy.ma.masked_array.shape
• numpy.ma.masked_array.sharedmask
• numpy.ma.masked_array.size
• numpy.ma.masked_array.strides
• numpy.matrix.A
• numpy.matrix.A1
• numpy.matrix.H
• numpy.matrix.I
• numpy.matrix.T
• numpy.matrix.base
• numpy.matrix.ctypes
• numpy.matrix.data
• numpy.matrix.device
• numpy.matrix.dtype
• numpy.matrix.flags
• numpy.matrix.flat
• numpy.matrix.imag
• numpy.matrix.itemset
• numpy.matrix.itemsize
• numpy.matrix.mT
• numpy.matrix.nbytes
• numpy.matrix.ndim
• numpy.matrix.newbyteorder
• numpy.matrix.real
• numpy.matrix.shape
• numpy.matrix.size
• numpy.matrix.strides
• numpy.memmap.T
• numpy.memmap.base
• numpy.memmap.ctypes
• numpy.memmap.data
• numpy.memmap.device
• numpy.memmap.dtype
• numpy.memmap.flags
• numpy.memmap.flat
• numpy.memmap.imag
• numpy.memmap.itemset
• numpy.memmap.itemsize
• numpy.memmap.mT
• numpy.memmap.nbytes
• numpy.memmap.ndim
• numpy.memmap.newbyteorder
• numpy.memmap.ptp
• numpy.memmap.real
• numpy.memmap.shape
• numpy.memmap.size
• numpy.memmap.strides
• numpy.ndarray.T
• numpy.ndarray.base
• numpy.ndarray.ctypes
• numpy.ndarray.data
• numpy.ndarray.device
• numpy.ndarray.dtype
• numpy.ndarray.flags
• numpy.ndarray.flat
• numpy.ndarray.imag
• numpy.ndarray.itemset
• numpy.ndarray.itemsize
• numpy.ndarray.mT
• numpy.ndarray.nbytes
• numpy.ndarray.ndim
• numpy.ndarray.newbyteorder
• numpy.ndarray.ptp
• numpy.ndarray.real
• numpy.ndarray.shape
• numpy.ndarray.size
• numpy.ndarray.strides
• numpy.nditer.dtypes
• numpy.nditer.finished
• numpy.nditer.has_delayed_bufalloc
• numpy.nditer.has_index
• numpy.nditer.has_multi_index
• numpy.nditer.index
• numpy.nditer.iterationneedsapi
• numpy.nditer.iterindex
• numpy.nditer.iterrange
• numpy.nditer.itersize
• numpy.nditer.itviews
• numpy.nditer.multi_index
• numpy.nditer.ndim
• numpy.nditer.nop
• numpy.nditer.operands
• numpy.nditer.shape
• numpy.nditer.value
• numpy.poly1d.c
• numpy.poly1d.coef
• numpy.poly1d.coefficients
• numpy.poly1d.coeffs
• numpy.poly1d.o
• numpy.poly1d.order
• numpy.poly1d.r
• numpy.poly1d.roots
• numpy.poly1d.variable
• numpy.polynomial.chebyshev.Chebyshev.basis_name
• numpy.polynomial.chebyshev.Chebyshev.domain
• numpy.polynomial.chebyshev.Chebyshev.maxpower
• numpy.polynomial.chebyshev.Chebyshev.symbol
• numpy.polynomial.chebyshev.Chebyshev.window
• numpy.polynomial.hermite.Hermite.basis_name
• numpy.polynomial.hermite.Hermite.domain
• numpy.polynomial.hermite.Hermite.maxpower
• numpy.polynomial.hermite.Hermite.symbol
• numpy.polynomial.hermite.Hermite.window
• numpy.polynomial.hermite_e.HermiteE.basis_name
• numpy.polynomial.hermite_e.HermiteE.domain
• numpy.polynomial.hermite_e.HermiteE.maxpower
• numpy.polynomial.hermite_e.HermiteE.symbol
• numpy.polynomial.hermite_e.HermiteE.window
• numpy.polynomial.laguerre.Laguerre.basis_name
• numpy.polynomial.laguerre.Laguerre.domain
• numpy.polynomial.laguerre.Laguerre.maxpower
• numpy.polynomial.laguerre.Laguerre.symbol
• numpy.polynomial.laguerre.Laguerre.window
• numpy.polynomial.legendre.Legendre.basis_name
• numpy.polynomial.legendre.Legendre.domain
• numpy.polynomial.legendre.Legendre.maxpower
• numpy.polynomial.legendre.Legendre.symbol
• numpy.polynomial.legendre.Legendre.window
• numpy.polynomial.polynomial.Polynomial.basis_name
• numpy.polynomial.polynomial.Polynomial.domain
• numpy.polynomial.polynomial.Polynomial.maxpower
• numpy.polynomial.polynomial.Polynomial.symbol
• numpy.polynomial.polynomial.Polynomial.window
• numpy.random.BitGenerator.capsule
• numpy.random.BitGenerator.cffi
• numpy.random.BitGenerator.ctypes
• numpy.random.BitGenerator.lock
• numpy.random.BitGenerator.seed_seq
• numpy.random.BitGenerator.state
• numpy.random.Generator.bit_generator
• numpy.random.MT19937.cffi
• numpy.random.MT19937.ctypes
• numpy.random.MT19937.state
• numpy.random.PCG64.cffi
• numpy.random.PCG64.ctypes
• numpy.random.PCG64.state
• numpy.random.PCG64DXSM.cffi
• numpy.random.PCG64DXSM.ctypes
• numpy.random.PCG64DXSM.state
• numpy.random.Philox.cffi
• numpy.random.Philox.ctypes
• numpy.random.Philox.state
• numpy.random.SFC64.cffi
• numpy.random.SFC64.ctypes
• numpy.random.SFC64.state
• numpy.random.SeedSequence.entropy
• numpy.random.SeedSequence.n_children_spawned
• numpy.random.SeedSequence.pool
• numpy.random.SeedSequence.pool_size
• numpy.random.SeedSequence.spawn_key
• numpy.random.SeedSequence.state
• numpy.recarray.T
• numpy.recarray.base
• numpy.recarray.ctypes
• numpy.recarray.data
• numpy.recarray.device
• numpy.recarray.dtype
• numpy.recarray.flags
• numpy.recarray.flat
• numpy.recarray.imag
• numpy.recarray.itemset
• numpy.recarray.itemsize
• numpy.recarray.mT
• numpy.recarray.nbytes
• numpy.recarray.ndim
• numpy.recarray.newbyteorder
• numpy.recarray.ptp
• numpy.recarray.real
• numpy.recarray.shape
• numpy.recarray.size
• numpy.recarray.strides
• numpy.record.T
• numpy.record.base
• numpy.record.data
• numpy.record.device
• numpy.record.dtype
• numpy.record.flags
• numpy.record.flat
• numpy.record.imag
• numpy.record.itemset
• numpy.record.itemsize
• numpy.record.nbytes
• numpy.record.ndim
• numpy.record.newbyteorder
• numpy.record.ptp
• numpy.record.real
• numpy.record.shape
• numpy.record.size
• numpy.record.strides
• numpy.testing.clear_and_catch_warnings.class_modules
• numpy.ufunc.identity
• numpy.ufunc.nargs
• numpy.ufunc.nin
• numpy.ufunc.nout
• numpy.ufunc.ntypes
• numpy.ufunc.signature
• numpy.ufunc.types
• numpy.uint16
• numpy.uint32
• numpy.uint64
• numpy.uint8
• numpy.uintp
• numpy.ulong

Classs

• numpy.__array_namespace_info__
• numpy.bool
• numpy.broadcast
• numpy.busdaycalendar
• numpy.byte
• numpy.bytes_
• numpy.cdouble
• numpy.char.chararray
• numpy.character
• numpy.clongdouble
• numpy.complexfloating
• numpy.csingle
• numpy.ctypeslib.c_intp
• numpy.datetime64
• numpy.distutils.ccompiler_opt.CCompilerOpt
• numpy.distutils.core.Extension
• numpy.distutils.misc_util.Configuration
• numpy.double
• numpy.dtype
• numpy.errstate
• numpy.finfo
• numpy.flatiter
• numpy.flexible
• numpy.floating
• numpy.generic
• numpy.half
• numpy.iinfo
• numpy.inexact
• numpy.int_
• numpy.intc
• numpy.integer
• numpy.lib.Arrayterator
• numpy.lib.NumpyVersion
• numpy.lib.mixins.NDArrayOperatorsMixin
• numpy.lib.npyio.DataSource
• numpy.lib.npyio.NpzFile
• numpy.lib.user_array.container
• numpy.longdouble
• numpy.longlong
• numpy.ma.MaskedArray
• numpy.matrix
• numpy.memmap
• numpy.ndarray
• numpy.ndenumerate
• numpy.ndindex
• numpy.nditer
• numpy.number
• numpy.object_
• numpy.poly1d
• numpy.polynomial.chebyshev.Chebyshev
• numpy.polynomial.hermite.Hermite
• numpy.polynomial.hermite_e.HermiteE
• numpy.polynomial.laguerre.Laguerre
• numpy.polynomial.legendre.Legendre
• numpy.polynomial.polynomial.Polynomial
• numpy.random.BitGenerator
• numpy.random.Generator
• numpy.random.MT19937
• numpy.random.PCG64
• numpy.random.PCG64DXSM
• numpy.random.Philox
• numpy.random.RandomState
• numpy.random.SFC64
• numpy.random.SeedSequence
• numpy.rec.format_parser
• numpy.rec.recarray
• numpy.record
• numpy.short
• numpy.signedinteger
• numpy.single
• numpy.str_
• numpy.testing._private.utils.clear_and_catch_warnings
• numpy.testing._private.utils.suppress_warnings
• numpy.timedelta64
• numpy.typing.NBitBase
• numpy.ubyte
• numpy.ufunc
• numpy.uint
• numpy.uintc
• numpy.ulonglong
• numpy.unsignedinteger
• numpy.ushort
• numpy.vectorize
• numpy.void

Enums

• NPY_ANYORDER
• NPY_ARRAYMETHOD_FLAGS
• NPY_ARRAYMETHOD_FLAGS.NPY_METH_IS_REORDERABLE
• NPY_ARRAYMETHOD_FLAGS.NPY_METH_NO_FLOATINGPOINT_ERRORS
• NPY_ARRAYMETHOD_FLAGS.NPY_METH_REQUIRES_PYAPI
• NPY_ARRAYMETHOD_FLAGS.NPY_METH_RUNTIME_FLAGS
• NPY_ARRAYMETHOD_FLAGS.NPY_METH_SUPPORTS_UNALIGNED
• NPY_BOOL
• NPY_BOOL_SCALAR
• NPY_BYTE
• NPY_CASTING
• NPY_CASTING.NPY_EQUIV_CASTING
• NPY_CASTING.NPY_NO_CASTING
• NPY_CASTING.NPY_SAFE_CASTING
• NPY_CASTING.NPY_SAME_KIND_CASTING
• NPY_CASTING.NPY_UNSAFE_CASTING
• NPY_CDOUBLE
• NPY_CFLOAT
• NPY_CLIP
• NPY_CLIPMODE
• NPY_CLIPMODE.NPY_RAISE
• NPY_CLIPMODE.NPY_WRAP
• NPY_CLONGDOUBLE
• NPY_COMPLEX128
• NPY_COMPLEX64
• NPY_COMPLEX_SCALAR
• NPY_CORDER
• NPY_DATETIME
• NPY_DATETIMEUNIT
• NPY_DATETIMEUNIT.NPY_FR_D
• NPY_DATETIMEUNIT.NPY_FR_ERROR
• NPY_DATETIMEUNIT.NPY_FR_GENERIC
• NPY_DATETIMEUNIT.NPY_FR_M
• NPY_DATETIMEUNIT.NPY_FR_W
• NPY_DATETIMEUNIT.NPY_FR_Y
• NPY_DATETIMEUNIT.NPY_FR_as
• NPY_DATETIMEUNIT.NPY_FR_fs
• NPY_DATETIMEUNIT.NPY_FR_h
• NPY_DATETIMEUNIT.NPY_FR_m
• NPY_DATETIMEUNIT.NPY_FR_ms
• NPY_DATETIMEUNIT.NPY_FR_ns
• NPY_DATETIMEUNIT.NPY_FR_ps
• NPY_DATETIMEUNIT.NPY_FR_s
• NPY_DATETIMEUNIT.NPY_FR_us
• NPY_DEFAULT_TYPE
• NPY_DOUBLE
• NPY_FLOAT
• NPY_FLOAT16
• NPY_FLOAT32
• NPY_FLOAT64
• NPY_FLOAT_SCALAR
• NPY_FORTRANORDER
• NPY_HALF
• NPY_HEAPSORT
• NPY_INT
• NPY_INT16
• NPY_INT32
• NPY_INT64
• NPY_INT8
• NPY_INTNEG_SCALAR
• NPY_INTP
• NPY_INTPOS_SCALAR
• NPY_INTROSELECT
• NPY_KEEPORDER
• NPY_LONG
• NPY_LONGDOUBLE
• NPY_LONGLONG
• NPY_MASK
• NPY_MERGESORT
• NPY_NOSCALAR
• NPY_NSCALARKINDS
• NPY_NSORTS
• NPY_OBJECT
• NPY_OBJECT_SCALAR
• NPY_ORDER
• NPY_QUICKSORT
• NPY_SCALARKIND
• NPY_SEARCHLEFT
• NPY_SEARCHRIGHT
• NPY_SEARCHSIDE
• NPY_SELECTKIND
• NPY_SHORT
• NPY_SORTKIND
• NPY_SORTKIND.NPY_STABLESORT
• NPY_STRING
• NPY_TIMEDELTA
• NPY_TYPES
• NPY_TYPES.NPY_UBYTE
• NPY_TYPES.NPY_UINT
• NPY_TYPES.NPY_UINT16
• NPY_TYPES.NPY_UINT32
• NPY_TYPES.NPY_UINT64
• NPY_TYPES.NPY_UINT8
• NPY_TYPES.NPY_UINTP
• NPY_TYPES.NPY_ULONG
• NPY_TYPES.NPY_ULONGLONG
• NPY_TYPES.NPY_UNICODE
• NPY_TYPES.NPY_USHORT
• NPY_TYPES.NPY_VOID
• NPY_TYPES.NPY_VSTRING

Exceptions

• numpy.exceptions.AxisError
• numpy.exceptions.ComplexWarning
• numpy.exceptions.DTypePromotionError
• numpy.exceptions.RankWarning
• numpy.exceptions.TooHardError
• numpy.exceptions.VisibleDeprecationWarning
• numpy.linalg.LinAlgError

Functions

• NPY_AO.base
• NPY_AO.data
• NPY_AO.descr
• NPY_AO.dimensions
• NPY_AO.flags
• NPY_AO.nd
• NPY_AO.strides
• NPY_AO.weakreflist
• NPY_AUXDATA_CLONE
• NPY_AUXDATA_FREE
• NPY_BEGIN_THREADS_DESCR
• NPY_BEGIN_THREADS_THRESHOLDED
• NPY_DT_NewRef
• NPY_END_THREADS_DESCR
• NpyDatetime_ConvertDatetime64ToDatetimeStruct
• NpyDatetime_ConvertDatetimeStructToDatetime64
• NpyDatetime_ConvertPyDateTimeToDatetimeStruct
• NpyDatetime_GetDatetimeISO8601StrLen
• NpyDatetime_MakeISO8601Datetime
• NpyDatetime_ParseISO8601Datetime
• NpyIter_AdvancedNew
• NpyIter_Copy
• NpyIter_CreateCompatibleStrides
• NpyIter_Deallocate
• NpyIter_EnableExternalLoop
• NpyIter_GetAxisStrideArray
• NpyIter_GetBufferSize
• NpyIter_GetDataPtrArray
• NpyIter_GetDescrArray
• NpyIter_GetGetMultiIndex
• NpyIter_GetIndexPtr
• NpyIter_GetInitialDataPtrArray
• NpyIter_GetInnerFixedStrideArray
• NpyIter_GetInnerLoopSizePtr
• NpyIter_GetInnerStrideArray
• NpyIter_GetIterIndex
• NpyIter_GetIterIndexRange
• NpyIter_GetIterNext
• NpyIter_GetIterSize
• NpyIter_GetIterView
• NpyIter_GetNDim
• NpyIter_GetNOp
• NpyIter_GetOperandArray
• NpyIter_GetReadFlags
• NpyIter_GetShape
• NpyIter_GetWriteFlags
• NpyIter_GotoIndex
• NpyIter_GotoIterIndex
• NpyIter_GotoMultiIndex
• NpyIter_HasDelayedBufAlloc
• NpyIter_HasExternalLoop
• NpyIter_HasIndex
• NpyIter_HasMultiIndex
• NpyIter_IsBuffered
• NpyIter_IsFirstVisit
• NpyIter_IsGrowInner
• NpyIter_MultiNew
• NpyIter_New
• NpyIter_RemoveAxis
• NpyIter_RemoveMultiIndex
• NpyIter_RequiresBuffering
• NpyIter_Reset
• NpyIter_ResetBasePointers
• NpyIter_ResetToIterIndexRange
• NpyString_acquire_allocator
• NpyString_acquire_allocators
• NpyString_load
• NpyString_pack
• NpyString_pack_null
• NpyString_release_allocator
• NpyString_release_allocators
• PyArrayDTypeMeta_Spec.casts
• PyArrayDTypeMeta_Spec.flags
• PyArrayDTypeMeta_Spec.slots
• PyArrayDTypeMeta_Spec.typeobj
• PyArrayDTypeMeta_Type
• PyArrayDescr_Type
• PyArrayInitDTypeMeta_FromSpec
• PyArrayInterface.data
• PyArrayInterface.descr
• PyArrayInterface.flags
• PyArrayInterface.itemsize
• PyArrayInterface.nd
• PyArrayInterface.shape
• PyArrayInterface.strides
• PyArrayInterface.two
• PyArrayInterface.typekind
• PyArrayIterObject.ao
• PyArrayIterObject.backstrides
• PyArrayIterObject.contiguous
• PyArrayIterObject.coordinates
• PyArrayIterObject.dataptr
• PyArrayIterObject.dims_m1
• PyArrayIterObject.factors
• PyArrayIterObject.index
• PyArrayIterObject.nd_m1
• PyArrayIterObject.size
• PyArrayIterObject.strides
• PyArrayIter_Check
• PyArrayIter_Type
• PyArrayMapIter_Type
• PyArrayMethod_Context.caller
• PyArrayMethod_Context.descriptors
• PyArrayMethod_Context.method
• PyArrayMethod_Spec.casting
• PyArrayMethod_Spec.dtypes
• PyArrayMethod_Spec.flags
• PyArrayMethod_Spec.name
• PyArrayMethod_Spec.nin
• PyArrayMethod_Spec.nout
• PyArrayMethod_Spec.slots
• PyArrayMultiIterObject.dimensions
• PyArrayMultiIterObject.index
• PyArrayMultiIterObject.iters
• PyArrayMultiIterObject.nd
• PyArrayMultiIterObject.numiter
• PyArrayMultiIterObject.size
• PyArrayMultiIter_Type
• PyArrayNeighborhoodIter_Next
• PyArrayNeighborhoodIter_Reset
• PyArrayNeighborhoodIter_Type
• PyArray_All
• PyArray_Any
• PyArray_Arange
• PyArray_ArangeObj
• PyArray_ArgMax
• PyArray_ArgMin
• PyArray_ArgPartition
• PyArray_ArgSort
• PyArray_ArrFuncs.argmax
• PyArray_ArrFuncs.argmin
• PyArray_ArrFuncs.argsort
• PyArray_ArrFuncs.cancastscalarkindto
• PyArray_ArrFuncs.cancastto
• PyArray_ArrFuncs.cast
• PyArray_ArrFuncs.castdict
• PyArray_ArrFuncs.compare
• PyArray_ArrFuncs.copyswap
• PyArray_ArrFuncs.copyswapn
• PyArray_ArrFuncs.dotfunc
• PyArray_ArrFuncs.fill
• PyArray_ArrFuncs.fillwithscalar
• PyArray_ArrFuncs.fromstr
• PyArray_ArrFuncs.getitem
• PyArray_ArrFuncs.nonzero
• PyArray_ArrFuncs.scalarkind
• PyArray_ArrFuncs.scanfunc
• PyArray_ArrFuncs.setitem
• PyArray_ArrFuncs.sort
• PyArray_AsCArray
• PyArray_AxisConverter
• PyArray_BASE
• PyArray_BYTES
• PyArray_BoolConverter
• PyArray_Broadcast
• PyArray_BroadcastToShape
• PyArray_BufferConverter
• PyArray_ByteorderConverter
• PyArray_Byteswap
• PyArray_CHKFLAGS
• PyArray_CLEARFLAGS
• PyArray_CanCastArrayTo
• PyArray_CanCastSafely
• PyArray_CanCastTo
• PyArray_CanCastTypeTo
• PyArray_CanCoerceScalar
• PyArray_Cast
• PyArray_CastScalarToCtype
• PyArray_CastTo
• PyArray_CastToType
• PyArray_CastingConverter
• PyArray_Check
• PyArray_CheckAnyScalar
• PyArray_CheckAxis
• PyArray_CheckExact
• PyArray_CheckFromAny
• PyArray_CheckScalar
• PyArray_CheckStrides
• PyArray_Choose
• PyArray_Chunk.base
• PyArray_Chunk.flags
• PyArray_Chunk.len
• PyArray_Chunk.ptr
• PyArray_Clip
• PyArray_ClipmodeConverter
• PyArray_CommonDType
• PyArray_CompareLists
• PyArray_Compress
• PyArray_Concatenate
• PyArray_Conjugate
• PyArray_ContiguousFromAny
• PyArray_ContiguousFromObject
• PyArray_ConvertClipmodeSequence
• PyArray_ConvertToCommonType
• PyArray_Converter
• PyArray_CopyInto
• PyArray_CopyObject
• PyArray_Correlate
• PyArray_Correlate2
• PyArray_CountNonzero
• PyArray_CumProd
• PyArray_CumSum
• PyArray_DATA
• PyArray_DESCR
• PyArray_DIM
• PyArray_DIMS
• PyArray_DTYPE
• PyArray_DTypeMeta.dt_slots
• PyArray_DTypeMeta.flags
• PyArray_DTypeMeta.scalar_type
• PyArray_DTypeMeta.singleton
• PyArray_DTypeMeta.super
• PyArray_DTypeMeta.type_num
• PyArray_DatetimeMetaData.base
• PyArray_DatetimeMetaData.num
• PyArray_Descr.alignment
• PyArray_Descr.byteorder
• PyArray_Descr.c_metadata
• PyArray_Descr.elsize
• PyArray_Descr.flags
• PyArray_Descr.hash
• PyArray_Descr.kind
• PyArray_Descr.metadata
• PyArray_Descr.type
• PyArray_Descr.type_num
• PyArray_Descr.typeobj
• PyArray_DescrAlignConverter
• PyArray_DescrAlignConverter2
• PyArray_DescrCheck
• PyArray_DescrConverter
• PyArray_DescrConverter2
• PyArray_DescrFromObject
• PyArray_DescrFromScalar
• PyArray_DescrFromType
• PyArray_DescrNew
• PyArray_DescrNewByteorder
• PyArray_DescrNewFromType
• PyArray_Diagonal
• PyArray_Dims.len
• PyArray_Dims.ptr
• PyArray_DiscardWritebackIfCopy
• PyArray_Dump
• PyArray_Dumps
• PyArray_EMPTY
• PyArray_ENABLEFLAGS
• PyArray_EinsteinSum
• PyArray_Empty
• PyArray_EnsureArray
• PyArray_EquivArrTypes
• PyArray_EquivByteorders
• PyArray_EquivTypenums
• PyArray_EquivTypes
• PyArray_FILLWBYTE
• PyArray_FLAGS
• PyArray_FROMANY
• PyArray_FROM_O
• PyArray_FROM_OF
• PyArray_FROM_OT
• PyArray_FROM_OTF
• PyArray_FailUnlessWriteable
• PyArray_FillWithScalar
• PyArray_FinalizeFunc
• PyArray_Flatten
• PyArray_Free
• PyArray_FromAny
• PyArray_FromArray
• PyArray_FromArrayAttr
• PyArray_FromBuffer
• PyArray_FromFile
• PyArray_FromInterface
• PyArray_FromObject
• PyArray_FromScalar
• PyArray_FromString
• PyArray_FromStructInterface
• PyArray_GETCONTIGUOUS
• PyArray_GETITEM
• PyArray_GETPTR1
• PyArray_GETPTR2
• PyArray_GETPTR3
• PyArray_GETPTR4
• PyArray_GetDefaultDescr
• PyArray_GetEndianness
• PyArray_GetField
• PyArray_GetNDArrayCFeatureVersion
• PyArray_GetNDArrayCVersion
• PyArray_GetPriority
• PyArray_GetPtr
• PyArray_HASFIELDS
• PyArray_HasArrayInterface
• PyArray_HasArrayInterfaceType
• PyArray_INCREF
• PyArray_ISALIGNED
• PyArray_ISBEHAVED
• PyArray_ISBEHAVED_RO
• PyArray_ISBOOL
• PyArray_ISBYTESWAPPED
• PyArray_ISCARRAY
• PyArray_ISCARRAY_RO
• PyArray_ISCOMPLEX
• PyArray_ISEXTENDED
• PyArray_ISFARRAY
• PyArray_ISFARRAY_RO
• PyArray_ISFLEXIBLE
• PyArray_ISFLOAT
• PyArray_ISFORTRAN
• PyArray_ISINTEGER
• PyArray_ISNOTSWAPPED
• PyArray_ISNUMBER
• PyArray_ISOBJECT
• PyArray_ISONESEGMENT
• PyArray_ISSIGNED
• PyArray_ISSTRING
• PyArray_ISUNSIGNED
• PyArray_ISUSERDEF
• PyArray_ISWRITEABLE
• PyArray_IS_C_CONTIGUOUS
• PyArray_IS_F_CONTIGUOUS
• PyArray_ITEMSIZE
• PyArray_ITER_DATA
• PyArray_ITER_GOTO
• PyArray_ITER_GOTO1D
• PyArray_ITER_NEXT
• PyArray_ITER_NOTDONE
• PyArray_ITER_RESET
• PyArray_ImportNumPyAPI
• PyArray_InitArrFuncs
• PyArray_InnerProduct
• PyArray_IntpConverter
• PyArray_IntpFromSequence
• PyArray_IsAnyScalar
• PyArray_IsPythonNumber
• PyArray_IsPythonScalar
• PyArray_IsZeroDim
• PyArray_Item_INCREF
• PyArray_Item_XDECREF
• PyArray_IterAllButAxis
• PyArray_IterNew
• PyArray_LexSort
• PyArray_MatrixProduct
• PyArray_MatrixProduct2
• PyArray_Max
• PyArray_Mean
• PyArray_Min
• PyArray_MinScalarType
• PyArray_MultiIterNew
• PyArray_MultiIter_DATA
• PyArray_MultiIter_DIMS
• PyArray_MultiIter_GOTO
• PyArray_MultiIter_GOTO1D
• PyArray_MultiIter_INDEX
• PyArray_MultiIter_ITERS
• PyArray_MultiIter_NDIM
• PyArray_MultiIter_NEXT
• PyArray_MultiIter_NEXTi
• PyArray_MultiIter_NOTDONE
• PyArray_MultiIter_NUMITER
• PyArray_MultiIter_RESET
• PyArray_MultiIter_SIZE
• PyArray_MultiplyIntList
• PyArray_MultiplyList
• PyArray_NBYTES
• PyArray_NDIM
• PyArray_NeighborhoodIterNew
• PyArray_New
• PyArray_NewCopy
• PyArray_NewFromDescr
• PyArray_NewLikeArray
• PyArray_Newshape
• PyArray_Nonzero
• PyArray_ObjectType
• PyArray_One
• PyArray_OrderConverter
• PyArray_OutputConverter
• PyArray_Pack
• PyArray_Partition
• PyArray_Prod
• PyArray_PromoteDTypeSequence
• PyArray_PromoteTypes
• PyArray_Ptp
• PyArray_PutMask
• PyArray_PutTo
• PyArray_PyIntAsInt
• PyArray_PyIntAsIntp
• PyArray_Ravel
• PyArray_RegisterCanCast
• PyArray_RegisterCastFunc
• PyArray_RegisterDataType
• PyArray_RemoveSmallest
• PyArray_Repeat
• PyArray_Reshape
• PyArray_Resize
• PyArray_ResolveWritebackIfCopy
• PyArray_ResultType
• PyArray_Return
• PyArray_Round
• PyArray_SAMESHAPE
• PyArray_SETITEM
• PyArray_SHAPE
• PyArray_SIZE
• PyArray_STRIDE
• PyArray_STRIDES
• PyArray_Scalar
• PyArray_ScalarAsCtype
• PyArray_ScalarKind
• PyArray_SearchSorted
• PyArray_SearchsideConverter
• PyArray_SetBaseObject
• PyArray_SetField
• PyArray_SetWritebackIfCopyBase
• PyArray_SimpleNew
• PyArray_SimpleNewFromData
• PyArray_SimpleNewFromDescr
• PyArray_Size
• PyArray_Sort
• PyArray_SortkindConverter
• PyArray_Squeeze
• PyArray_Std
• PyArray_StringDTypeObject.allocator
• PyArray_StringDTypeObject.array_owned
• PyArray_StringDTypeObject.base
• PyArray_StringDTypeObject.coerce
• PyArray_StringDTypeObject.default_string
• PyArray_StringDTypeObject.has_nan_na
• PyArray_StringDTypeObject.has_string_na
• PyArray_StringDTypeObject.na_name
• PyArray_StringDTypeObject.na_object
• PyArray_Sum
• PyArray_SwapAxes
• PyArray_TYPE
• PyArray_TakeFrom
• PyArray_ToFile
• PyArray_ToList
• PyArray_ToScalar
• PyArray_ToString
• PyArray_Trace
• PyArray_Transpose
• PyArray_Type
• PyArray_TypeObjectFromType
• PyArray_UpdateFlags
• PyArray_ValidType
• PyArray_View
• PyArray_Where
• PyArray_XDECREF
• PyArray_ZEROS
• PyArray_Zero
• PyArray_Zeros
• PyArray_free
• PyArray_malloc
• PyArray_realloc
• PyDataMem_FREE
• PyDataMem_GetHandler
• PyDataMem_NEW
• PyDataMem_RENEW
• PyDataMem_SetHandler
• PyDataType_ALIGNENT
• PyDataType_C_METADATA
• PyDataType_ELSIZE
• PyDataType_FIELDS
• PyDataType_FLAGCHK
• PyDataType_GetArrFuncs
• PyDataType_HASFIELDS
• PyDataType_ISBOOL
• PyDataType_ISCOMPLEX
• PyDataType_ISEXTENDED
• PyDataType_ISFLEXIBLE
• PyDataType_ISFLOAT
• PyDataType_ISINTEGER
• PyDataType_ISNUMBER
• PyDataType_ISOBJECT
• PyDataType_ISSIGNED
• PyDataType_ISSTRING
• PyDataType_ISUNSIGNED
• PyDataType_ISUNSIZED
• PyDataType_ISUSERDEF
• PyDataType_METADATA
• PyDataType_NAMES
• PyDataType_REFCHK
• PyDataType_SET_ELSIZE
• PyDataType_SUBARRAY
• PyDataType_SUBARRAY.PyArray_ArrayDescr.base
• PyDataType_SUBARRAY.PyArray_ArrayDescr.shape
• PyDimMem_FREE
• PyDimMem_NEW
• PyDimMem_RENEW
• PyGenericArrType_Type
• PyModule_AddIntConstant
• PyModule_AddObject
• PyModule_AddStringConstant
• PyTypeNum_ISBOOL
• PyTypeNum_ISCOMPLEX
• PyTypeNum_ISEXTENDED
• PyTypeNum_ISFLEXIBLE
• PyTypeNum_ISFLOAT
• PyTypeNum_ISINTEGER
• PyTypeNum_ISNUMBER
• PyTypeNum_ISOBJECT
• PyTypeNum_ISSIGNED
• PyTypeNum_ISSTRING
• PyTypeNum_ISUNSIGNED
• PyTypeNum_ISUSERDEF
• PyUFuncGenericFunction.loopfunc
• PyUFuncObject.core_dim_flags
• PyUFuncObject.core_dim_ixs
• PyUFuncObject.core_dim_sizes
• PyUFuncObject.core_enabled
• PyUFuncObject.core_num_dim_ix
• PyUFuncObject.core_num_dims
• PyUFuncObject.core_offsets
• PyUFuncObject.core_signature
• PyUFuncObject.data
• PyUFuncObject.doc
• PyUFuncObject.functions
• PyUFuncObject.identity
• PyUFuncObject.identity_value
• PyUFuncObject.iter_flags
• PyUFuncObject.name
• PyUFuncObject.nargs
• PyUFuncObject.nin
• PyUFuncObject.nout
• PyUFuncObject.ntypes
• PyUFuncObject.obj
• PyUFuncObject.op_flags
• PyUFuncObject.ptr
• PyUFuncObject.type_resolver
• PyUFuncObject.types
• PyUFuncObject.userloops
• PyUFunc_AddLoopFromSpec
• PyUFunc_AddPromoter
• PyUFunc_AddWrappingLoop
• PyUFunc_DD_D
• PyUFunc_D_D
• PyUFunc_FF_F
• PyUFunc_FF_F_As_DD_D
• PyUFunc_F_F
• PyUFunc_F_F_As_D_D
• PyUFunc_FromFuncAndData
• PyUFunc_FromFuncAndDataAndSignature
• PyUFunc_FromFuncAndDataAndSignatureAndIdentity
• PyUFunc_GG_G
• PyUFunc_G_G
• PyUFunc_GiveFloatingpointErrors
• PyUFunc_ImportUFuncAPI
• PyUFunc_OO_O
• PyUFunc_OO_O_method
• PyUFunc_O_O
• PyUFunc_O_O_method
• PyUFunc_On_Om
• PyUFunc_RegisterLoopForDescr
• PyUFunc_RegisterLoopForType
• PyUFunc_ReplaceLoopBySignature
• PyUFunc_Type
• PyUFunc_clearfperr
• PyUFunc_d_d
• PyUFunc_dd_d
• PyUFunc_e_e
• PyUFunc_e_e_As_d_d
• PyUFunc_e_e_As_f_f
• PyUFunc_ee_e
• PyUFunc_ee_e_As_dd_d
• PyUFunc_ee_e_As_ff_f
• PyUFunc_f_f
• PyUFunc_f_f_As_d_d
• PyUFunc_ff_f
• PyUFunc_ff_f_As_dd_d
• PyUFunc_g_g
• PyUFunc_gg_g
• castfunc
• ndpointer
• npy_clear_floatstatus
• npy_clear_floatstatus_barrier
• npy_double_to_half
• npy_doublebits_to_halfbits
• npy_float_to_half
• npy_floatbits_to_halfbits
• npy_get_floatstatus
• npy_get_floatstatus_barrier
• npy_half_copysign
• npy_half_eq
• npy_half_eq_nonan
• npy_half_ge
• npy_half_gt
• npy_half_isfinite
• npy_half_isinf
• npy_half_isnan
• npy_half_iszero
• npy_half_le
• npy_half_le_nonan
• npy_half_lt
• npy_half_lt_nonan
• npy_half_ne
• npy_half_nextafter
• npy_half_signbit
• npy_half_spacing
• npy_half_to_double
• npy_half_to_float
• npy_halfbits_to_doublebits
• npy_halfbits_to_floatbits
• npy_nextafter
• npy_set_floatstatus_divbyzero
• npy_set_floatstatus_invalid
• npy_set_floatstatus_overflow
• npy_set_floatstatus_underflow
• npy_spacing
• npy_static_string.buf
• npy_static_string.size
• numpy.all
• numpy.allclose
• numpy.amax
• numpy.amin
• numpy.angle
• numpy.any
• numpy.append
• numpy.apply_along_axis
• numpy.apply_over_axes
• numpy.arange
• 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.asfortranarray
• numpy.asmatrix
• numpy.astype
• numpy.atleast_1d
• numpy.atleast_2d
• numpy.atleast_3d
• numpy.average
• numpy.bartlett
• numpy.base_repr
• numpy.binary_repr
• numpy.bincount
• numpy.blackman
• numpy.block
• numpy.bmat
• numpy.broadcast_arrays
• numpy.broadcast_shapes
• numpy.broadcast_to
• numpy.busday_count
• numpy.busday_offset
• numpy.can_cast
• numpy.char.array
• numpy.char.asarray
• numpy.char.capitalize
• numpy.char.center
• 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.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.strip
• numpy.char.swapcase
• numpy.char.title
• numpy.char.translate
• numpy.char.upper
• numpy.char.zfill
• numpy.choose
• numpy.clip
• numpy.column_stack
• numpy.common_type
• numpy.compress
• numpy.concat
• numpy.concatenate
• numpy.convolve
• numpy.copy
• numpy.copyto
• numpy.corrcoef
• numpy.correlate
• numpy.count_nonzero
• numpy.cov
• numpy.cross
• numpy.ctypeslib.as_array
• numpy.ctypeslib.as_ctypes
• numpy.ctypeslib.as_ctypes_type
• numpy.ctypeslib.load_library
• numpy.ctypeslib.ndpointer
• numpy.cumprod
• numpy.cumsum
• numpy.cumulative_prod
• numpy.cumulative_sum
• numpy.datetime_as_string
• numpy.datetime_data
• numpy.delete
• numpy.diag
• numpy.diag_indices
• numpy.diag_indices_from
• numpy.diagflat
• numpy.diagonal
• numpy.diff
• numpy.digitize
• 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.new_ccompiler_opt
• 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.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
• numpy.distutils.system_info.get_info
• numpy.distutils.system_info.get_standard_file
• numpy.dot
• numpy.dsplit
• numpy.dstack
• numpy.ediff1d
• numpy.einsum
• numpy.einsum_path
• numpy.emath.arccos
• numpy.emath.arcsin
• numpy.emath.arctanh
• numpy.emath.log
• numpy.emath.log10
• numpy.emath.log2
• numpy.emath.logn
• numpy.emath.power
• numpy.emath.sqrt
• numpy.empty
• numpy.empty_like
• numpy.expand_dims
• numpy.extract
• numpy.eye
• numpy.f2py.get_include
• numpy.f2py.run_main
• 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.fix
• numpy.flatnonzero
• numpy.flip
• numpy.fliplr
• numpy.flipud
• numpy.format_float_positional
• numpy.format_float_scientific
• numpy.from_dlpack
• numpy.frombuffer
• numpy.fromfile
• numpy.fromfunction
• numpy.fromiter
• numpy.frompyfunc
• numpy.fromregex
• numpy.fromstring
• numpy.full
• numpy.full_like
• numpy.genfromtxt
• numpy.geomspace
• numpy.get_include
• numpy.get_printoptions
• numpy.getbufsize
• numpy.geterr
• numpy.geterrcall
• numpy.gradient
• numpy.hamming
• numpy.hanning
• numpy.histogram
• numpy.histogram2d
• numpy.histogram_bin_edges
• numpy.histogramdd
• numpy.hsplit
• numpy.hstack
• numpy.i0
• numpy.identity
• numpy.imag
• numpy.in1d
• numpy.indices
• numpy.info
• numpy.inner
• numpy.insert
• numpy.interp
• numpy.intersect1d
• numpy.is_busday
• numpy.isclose
• numpy.iscomplex
• numpy.iscomplexobj
• numpy.isdtype
• numpy.isfortran
• numpy.isin
• numpy.isneginf
• numpy.isposinf
• numpy.isreal
• numpy.isrealobj
• numpy.isscalar
• numpy.issubdtype
• numpy.iterable
• numpy.ix_
• numpy.kaiser
• numpy.kron
• numpy.lexsort
• numpy.lib.add_docstring
• numpy.lib.add_newdoc
• numpy.lib.array_utils.byte_bounds
• numpy.lib.array_utils.normalize_axis_index
• numpy.lib.array_utils.normalize_axis_tuple
• numpy.lib.format.descr_to_dtype
• numpy.lib.format.drop_metadata
• numpy.lib.format.dtype_to_descr
• numpy.lib.format.header_data_from_array_1_0
• numpy.lib.format.isfileobj
• 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.introspect.opt_func_info
• 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.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.linalg.cholesky
• numpy.linalg.cond
• numpy.linalg.cross
• numpy.linalg.det
• numpy.linalg.diagonal
• numpy.linalg.eig
• numpy.linalg.eigh
• numpy.linalg.eigvals
• numpy.linalg.eigvalsh
• numpy.linalg.inv
• numpy.linalg.lstsq
• numpy.linalg.matmul
• numpy.linalg.matrix_norm
• numpy.linalg.matrix_power
• numpy.linalg.matrix_rank
• numpy.linalg.matrix_transpose
• numpy.linalg.multi_dot
• numpy.linalg.norm
• numpy.linalg.outer
• numpy.linalg.pinv
• numpy.linalg.qr
• numpy.linalg.slogdet
• numpy.linalg.solve
• numpy.linalg.svd
• numpy.linalg.svdvals
• numpy.linalg.tensordot
• numpy.linalg.tensorinv
• numpy.linalg.tensorsolve
• numpy.linalg.trace
• numpy.linalg.vecdot
• numpy.linalg.vector_norm
• numpy.linspace
• numpy.load
• numpy.loadtxt
• numpy.logspace
• numpy.ma.allclose
• numpy.ma.allequal
• numpy.ma.amax
• numpy.ma.amin
• numpy.ma.append
• numpy.ma.apply_along_axis
• numpy.ma.apply_over_axes
• numpy.ma.argsort
• numpy.ma.array
• numpy.ma.asanyarray
• numpy.ma.asarray
• numpy.ma.average
• numpy.ma.choose
• numpy.ma.clump_masked
• numpy.ma.clump_unmasked
• numpy.ma.common_fill_value
• numpy.ma.compress_cols
• numpy.ma.compress_nd
• numpy.ma.compress_rowcols
• numpy.ma.compress_rows
• numpy.ma.compressed
• numpy.ma.concatenate
• numpy.ma.convolve
• numpy.ma.corrcoef
• numpy.ma.correlate
• numpy.ma.count_masked
• numpy.ma.cov
• numpy.ma.default_fill_value
• numpy.ma.diag
• numpy.ma.diff
• numpy.ma.dot
• numpy.ma.ediff1d
• numpy.ma.expand_dims
• numpy.ma.filled
• numpy.ma.fix_invalid
• numpy.ma.flatnotmasked_contiguous
• numpy.ma.flatnotmasked_edges
• numpy.ma.flatten_mask
• numpy.ma.flatten_structured_array
• numpy.ma.fromflex
• numpy.ma.getdata
• numpy.ma.getmask
• numpy.ma.getmaskarray
• numpy.ma.in1d
• numpy.ma.inner
• numpy.ma.innerproduct
• numpy.ma.intersect1d
• numpy.ma.isMA
• numpy.ma.isMaskedArray
• numpy.ma.is_mask
• numpy.ma.is_masked
• numpy.ma.isarray
• numpy.ma.isin
• numpy.ma.left_shift
• 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_equal
• numpy.ma.masked_greater
• numpy.ma.masked_greater_equal
• numpy.ma.masked_inside
• numpy.ma.masked_invalid
• numpy.ma.masked_less
• numpy.ma.masked_less_equal
• numpy.ma.masked_not_equal
• numpy.ma.masked_object
• numpy.ma.masked_outside
• numpy.ma.masked_values
• numpy.ma.masked_where
• numpy.ma.max
• numpy.ma.maximum_fill_value
• numpy.ma.median
• numpy.ma.min
• numpy.ma.minimum_fill_value
• numpy.ma.ndenumerate
• numpy.ma.ndim
• numpy.ma.notmasked_contiguous
• numpy.ma.notmasked_edges
• numpy.ma.outer
• numpy.ma.outerproduct
• numpy.ma.polyfit
• numpy.ma.power
• numpy.ma.ptp
• numpy.ma.put
• numpy.ma.putmask
• numpy.ma.reshape
• numpy.ma.resize
• numpy.ma.right_shift
• numpy.ma.round
• numpy.ma.round_
• numpy.ma.set_fill_value
• numpy.ma.setdiff1d
• numpy.ma.setxor1d
• numpy.ma.shape
• numpy.ma.size
• numpy.ma.sort
• numpy.ma.take
• numpy.ma.transpose
• numpy.ma.union1d
• numpy.ma.unique
• numpy.ma.vander
• numpy.ma.where
• numpy.mask_indices
• 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.matrix_transpose
• numpy.max
• numpy.may_share_memory
• numpy.mean
• numpy.median
• numpy.meshgrid
• numpy.min
• numpy.min_scalar_type
• numpy.mintypecode
• numpy.moveaxis
• 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.ndim
• numpy.nested_iters
• numpy.nonzero
• numpy.ones
• numpy.ones_like
• numpy.outer
• numpy.packbits
• numpy.pad
• numpy.partition
• numpy.percentile
• numpy.permute_dims
• numpy.piecewise
• numpy.place
• numpy.poly
• 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.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.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.poly2cheb
• numpy.polynomial.hermite.herm2poly
• numpy.polynomial.hermite.hermadd
• numpy.polynomial.hermite.hermcompanion
• numpy.polynomial.hermite.hermder
• numpy.polynomial.hermite.hermdiv
• 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.hermline
• numpy.polynomial.hermite.hermmul
• numpy.polynomial.hermite.hermmulx
• 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.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.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.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.poly2herme
• numpy.polynomial.laguerre.lag2poly
• numpy.polynomial.laguerre.lagadd
• numpy.polynomial.laguerre.lagcompanion
• numpy.polynomial.laguerre.lagder
• numpy.polynomial.laguerre.lagdiv
• 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.lagpow
• numpy.polynomial.laguerre.lagroots
• numpy.polynomial.laguerre.lagsub
• numpy.polynomial.laguerre.lagtrim
• numpy.polynomial.laguerre.lagval
• numpy.polynomial.laguerre.lagval2d
• numpy.polynomial.laguerre.lagval3d
• numpy.polynomial.laguerre.lagvander
• numpy.polynomial.laguerre.lagvander2d
• numpy.polynomial.laguerre.lagvander3d
• numpy.polynomial.laguerre.lagweight
• numpy.polynomial.laguerre.poly2lag
• numpy.polynomial.legendre.leg2poly
• numpy.polynomial.legendre.legadd
• numpy.polynomial.legendre.legcompanion
• numpy.polynomial.legendre.legder
• numpy.polynomial.legendre.legdiv
• 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.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.poly2leg
• numpy.polynomial.polynomial.polyadd
• numpy.polynomial.polynomial.polycompanion
• numpy.polynomial.polynomial.polyder
• numpy.polynomial.polynomial.polydiv
• 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.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.polyutils.as_series
• numpy.polynomial.polyutils.getdomain
• numpy.polynomial.polyutils.mapdomain
• numpy.polynomial.polyutils.mapparms
• numpy.polynomial.polyutils.trimcoef
• numpy.polynomial.polyutils.trimseq
• numpy.polynomial.set_default_printstyle
• numpy.polysub
• numpy.polyval
• numpy.printoptions
• numpy.prod
• numpy.promote_types
• numpy.ptp
• numpy.put
• numpy.put_along_axis
• numpy.putmask
• numpy.quantile
• numpy.random.beta
• numpy.random.binomial
• numpy.random.bytes
• numpy.random.chisquare
• numpy.random.choice
• numpy.random.default_rng
• numpy.random.dirichlet
• numpy.random.exponential
• numpy.random.f
• numpy.random.gamma
• numpy.random.geometric
• numpy.random.get_state
• numpy.random.gumbel
• numpy.random.hypergeometric
• numpy.random.laplace
• numpy.random.logistic
• numpy.random.lognormal
• numpy.random.logseries
• numpy.random.multinomial
• numpy.random.multivariate_normal
• numpy.random.negative_binomial
• numpy.random.noncentral_chisquare
• numpy.random.noncentral_f
• numpy.random.normal
• numpy.random.pareto
• numpy.random.permutation
• numpy.random.poisson
• numpy.random.power
• numpy.random.rand
• numpy.random.randint
• numpy.random.randn
• numpy.random.random
• numpy.random.random_integers
• numpy.random.random_sample
• numpy.random.ranf
• numpy.random.rayleigh
• numpy.random.sample
• numpy.random.seed
• numpy.random.set_state
• numpy.random.shuffle
• numpy.random.standard_cauchy
• numpy.random.standard_exponential
• numpy.random.standard_gamma
• numpy.random.standard_normal
• numpy.random.standard_t
• numpy.random.triangular
• numpy.random.uniform
• numpy.random.vonmises
• numpy.random.wald
• numpy.random.weibull
• numpy.random.zipf
• numpy.ravel
• numpy.ravel_multi_index
• numpy.real
• numpy.real_if_close
• numpy.rec.array
• numpy.rec.find_duplicate
• numpy.rec.fromarrays
• numpy.rec.fromfile
• numpy.rec.fromrecords
• numpy.rec.fromstring
• numpy.repeat
• numpy.require
• numpy.reshape
• numpy.resize
• numpy.result_type
• numpy.roll
• numpy.rollaxis
• numpy.roots
• numpy.rot90
• numpy.round
• numpy.save
• numpy.savetxt
• numpy.savez
• numpy.savez_compressed
• numpy.searchsorted
• numpy.select
• numpy.set_printoptions
• numpy.setbufsize
• numpy.setdiff1d
• numpy.seterr
• numpy.seterrcall
• numpy.setxor1d
• numpy.shape
• numpy.shares_memory
• numpy.show_config
• numpy.show_runtime
• numpy.sinc
• numpy.size
• numpy.sort
• numpy.sort_complex
• numpy.split
• numpy.squeeze
• numpy.stack
• numpy.std
• numpy.strings.capitalize
• numpy.strings.center
• numpy.strings.count
• numpy.strings.decode
• numpy.strings.encode
• numpy.strings.endswith
• numpy.strings.expandtabs
• numpy.strings.find
• numpy.strings.index
• numpy.strings.ljust
• numpy.strings.lower
• numpy.strings.lstrip
• numpy.strings.mod
• numpy.strings.multiply
• numpy.strings.partition
• numpy.strings.replace
• numpy.strings.rfind
• numpy.strings.rindex
• numpy.strings.rjust
• numpy.strings.rpartition
• numpy.strings.rstrip
• numpy.strings.startswith
• numpy.strings.strip
• numpy.strings.swapcase
• numpy.strings.title
• numpy.strings.translate
• numpy.strings.upper
• numpy.strings.zfill
• numpy.sum
• numpy.swapaxes
• numpy.take
• numpy.take_along_axis
• numpy.tensordot
• numpy.test
• numpy.testing.assert_
• 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_no_gc_cycles
• numpy.testing.assert_no_warnings
• numpy.testing.assert_raises
• numpy.testing.assert_raises_regex
• numpy.testing.assert_string_equal
• numpy.testing.assert_warns
• numpy.testing.decorate_methods
• numpy.testing.extbuild.build_and_import_extension
• numpy.testing.measure
• numpy.testing.overrides.allows_array_function_override
• numpy.testing.overrides.allows_array_ufunc_override
• numpy.testing.overrides.get_overridable_numpy_array_functions
• numpy.testing.overrides.get_overridable_numpy_ufuncs
• numpy.testing.print_assert_equal
• numpy.testing.rundocs
• numpy.tile
• numpy.trace
• numpy.transpose
• numpy.trapezoid
• numpy.tri
• numpy.tril
• numpy.tril_indices
• numpy.tril_indices_from
• numpy.trim_zeros
• numpy.triu
• numpy.triu_indices
• numpy.triu_indices_from
• numpy.typename
• numpy.union1d
• numpy.unique
• numpy.unique_all
• numpy.unique_counts
• numpy.unique_inverse
• numpy.unique_values
• numpy.unpackbits
• numpy.unravel_index
• numpy.unstack
• numpy.unwrap
• numpy.vander
• numpy.var
• numpy.vdot
• numpy.vsplit
• numpy.vstack
• numpy.where
• numpy.zeros
• numpy.zeros_like
• random_beta
• random_binomial
• random_bounded_uint64
• random_chisquare
• random_exponential
• random_f
• random_gamma
• random_gamma_f
• random_geometric
• random_geometric_inversion
• random_geometric_search
• random_gumbel
• random_hypergeometric
• random_interval
• random_laplace
• random_logistic
• random_lognormal
• random_logseries
• random_multinomial
• random_multivariate_hypergeometric_count
• random_multivariate_hypergeometric_marginals
• random_negative_binomial
• random_noncentral_chisquare
• random_noncentral_f
• random_normal
• random_pareto
• random_poisson
• random_positive_int
• random_positive_int32
• random_positive_int64
• random_power
• random_rayleigh
• random_standard_cauchy
• random_standard_exponential
• random_standard_exponential_f
• random_standard_exponential_fill
• random_standard_exponential_fill_f
• random_standard_exponential_inv_fill
• random_standard_exponential_inv_fill_f
• random_standard_gamma
• random_standard_gamma_f
• random_standard_normal
• random_standard_normal_f
• random_standard_normal_fill
• random_standard_normal_fill_f
• random_standard_t
• random_standard_uniform
• random_standard_uniform_f
• random_standard_uniform_fill
• random_standard_uniform_fill_f
• random_triangular
• random_uint
• random_uniform
• random_vonmises
• random_wald
• random_weibull
• random_zipf

Guides

• 1 Migrating to meson
• <no title>
• <no title>
• Advanced F2PY use cases
• Advanced debugging tools
• Array API
• Array API standard compatibility
• Array broadcasting in Numpy
• Array creation
• Array creation routines
• Array iterator API
• Array manipulation routines
• Array objects
• BLAS and LAPACK
• Beyond the basics
• Bit generators
• Bit-wise operations
• Boilerplate reduction and templating
• Broadcasting
• Building from source
• Building redistributable binaries
• Building the NumPy API and reference docs
• Byte-swapping
• C API deprecations
• C API for random
• CPU build options
• CPU/SIMD optimizations
• Compatibility policy
• Compiler selection and customizing a build
• Constants
• Constants of the numpy.ma module
• Contributing to NumPy
• Copies and views
• Cross compilation
• Data type API
• Data type objects (dtype)
• Data type promotion in NumPy
• Data type routines
• Data types
• Datetime API
• Datetime support functions
• Datetimes and timedeltas
• Development workflow
• Extending
• Extending numpy.random via Cython
• Extending via CFFI
• Extending via Numba
• Extending via Numba and CFFI
• F2PY and Conda on Windows
• F2PY and PGI Fortran on Windows
• F2PY and Windows
• F2PY and Windows Intel Fortran
• F2PY and Windows with MSYS2
• F2PY and build systems
• F2PY examples
• F2PY reference manual
• F2PY test suite
• F2PY user guide
• F2PY user guide and reference manual
• Floating point error handling
• For downstream package authors
• Functional programming
• Generalized universal function API
• Getting started
• Global Configuration Options
• Glossary
• How does the CPU dispatcher work?
• How to contribute to the NumPy documentation
• How to create arrays with regularly-spaced values
• How to extend NumPy
• How to index ndarrays
• How to write a NumPy how-to
• I/O with NumPy
• Importing data with genfromtxt
• Indexing on ndarrays
• Indexing routines
• Input and output
• Installing NumPy
• Internal organization of NumPy arrays
• Interoperability with NumPy
• Introspecting build steps
• Iterating over arrays
• Legacy random generation
• Logic functions
• Masked array operations
• Masked arrays
• Mathematical functions
• Mathematical functions with automatic domain
• Memory alignment
• Memory alignment
• Memory management in NumPy
• Mersenne Twister (MT19937)
• Meson and distutils ways of doing things
• Miscellaneous
• Miscellaneous routines
• Multithreaded generation
• NpyString API
• NumPy 1.10.0 Release Notes
• NumPy 1.10.1 Release Notes
• NumPy 1.10.2 Release Notes
• NumPy 1.10.3 Release Notes
• NumPy 1.10.4 Release Notes
• NumPy 1.11.0 Release Notes
• NumPy 1.11.1 Release Notes
• NumPy 1.11.2 Release Notes
• NumPy 1.11.3 Release Notes
• NumPy 1.12.0 Release Notes
• NumPy 1.12.1 Release Notes
• NumPy 1.13.0 Release Notes
• NumPy 1.13.1 Release Notes
• NumPy 1.13.2 Release Notes
• NumPy 1.13.3 Release Notes
• NumPy 1.14.0 Release Notes
• NumPy 1.14.1 Release Notes
• NumPy 1.14.2 Release Notes
• NumPy 1.14.3 Release Notes
• NumPy 1.14.4 Release Notes
• NumPy 1.14.5 Release Notes
• NumPy 1.14.6 Release Notes
• NumPy 1.15.0 Release Notes
• NumPy 1.15.1 Release Notes
• NumPy 1.15.2 Release Notes
• NumPy 1.15.3 Release Notes
• NumPy 1.15.4 Release Notes
• NumPy 1.16.0 Release Notes
• NumPy 1.16.1 Release Notes
• NumPy 1.16.2 Release Notes
• NumPy 1.16.3 Release Notes
• NumPy 1.16.4 Release Notes
• NumPy 1.16.5 Release Notes
• NumPy 1.16.6 Release Notes
• NumPy 1.17.0 Release Notes
• NumPy 1.17.1 Release Notes
• NumPy 1.17.2 Release Notes
• NumPy 1.17.3 Release Notes
• NumPy 1.17.4 Release Notes
• NumPy 1.17.5 Release Notes
• NumPy 1.18.0 Release Notes
• NumPy 1.18.1 Release Notes
• NumPy 1.18.2 Release Notes
• NumPy 1.18.3 Release Notes
• NumPy 1.18.4 Release Notes
• NumPy 1.18.5 Release Notes
• NumPy 1.19.0 Release Notes
• NumPy 1.19.1 Release Notes
• NumPy 1.19.2 Release Notes
• NumPy 1.19.3 Release Notes
• NumPy 1.19.4 Release Notes
• NumPy 1.19.5 Release Notes
• NumPy 1.20.0 Release Notes
• NumPy 1.20.1 Release Notes
• NumPy 1.20.2 Release Notes
• NumPy 1.20.3 Release Notes
• NumPy 1.21.0 Release Notes
• NumPy 1.21.1 Release Notes
• NumPy 1.21.2 Release Notes
• NumPy 1.21.3 Release Notes
• NumPy 1.21.4 Release Notes
• NumPy 1.21.5 Release Notes
• NumPy 1.21.6 Release Notes
• NumPy 1.22.0 Release Notes
• NumPy 1.22.1 Release Notes
• NumPy 1.22.2 Release Notes
• NumPy 1.22.3 Release Notes
• NumPy 1.22.4 Release Notes
• NumPy 1.23.0 Release Notes
• NumPy 1.23.1 Release Notes
• NumPy 1.23.2 Release Notes
• NumPy 1.23.3 Release Notes
• NumPy 1.23.4 Release Notes
• NumPy 1.23.5 Release Notes
• NumPy 1.24 Release Notes
• NumPy 1.24.1 Release Notes
• NumPy 1.24.2 Release Notes
• NumPy 1.24.3 Release Notes
• NumPy 1.24.4 Release Notes
• NumPy 1.25.0 Release Notes
• NumPy 1.25.1 Release Notes
• NumPy 1.25.2 Release Notes
• NumPy 1.26.0 Release Notes
• NumPy 1.26.1 Release Notes
• NumPy 1.26.2 Release Notes
• NumPy 1.26.3 Release Notes
• NumPy 1.26.4 Release Notes
• NumPy 1.3.0 Release Notes
• NumPy 1.4.0 Release Notes
• NumPy 1.5.0 Release Notes
• NumPy 1.6.0 Release Notes
• NumPy 1.6.1 Release Notes
• NumPy 1.6.2 Release Notes
• NumPy 1.7.0 Release Notes
• NumPy 1.7.1 Release Notes
• NumPy 1.7.2 Release Notes
• NumPy 1.8.0 Release Notes
• NumPy 1.8.1 Release Notes
• NumPy 1.8.2 Release Notes
• NumPy 1.9.0 Release Notes
• NumPy 1.9.1 Release Notes
• NumPy 1.9.2 Release Notes
• NumPy 2.0 migration guide
• NumPy 2.0.0 Release Notes
• NumPy 2.0.1 Release Notes
• NumPy 2.0.2 Release Notes
• NumPy 2.1.0 Release Notes
• NumPy 2.1.1 Release Notes
• NumPy 2.1.2 Release Notes
• NumPy 2.1.3 Release Notes
• NumPy 2.2.0 Release Notes
• NumPy 2.xx.x Release Notes
• NumPy C code explanations
• NumPy C code explanations
• NumPy C-API
• NumPy and SWIG
• NumPy benchmarks
• NumPy core math library
• NumPy documentation
• NumPy for MATLAB users
• NumPy fundamentals
• NumPy governance
• NumPy how-tos
• NumPy internals
• NumPy license
• NumPy project governance and decision-making
• NumPy quickstart
• NumPy security
• NumPy user guide
• NumPy: the absolute basics for beginners
• NumPy’s module structure
• Parallel random number generation
• Performance
• Permuted congruential generator (64-bit, PCG64 DXSM)
• Permuted congruential generator (64-bit, PCG64)
• Philox counter-based RNG
• Poly1d
• Polynomials
• Putting the inner loop in Cython
• Python types and C-structures
• Random Generator
• Reading and writing files
• Releasing a version
• Reviewer guidelines
• Routines and objects by topic
• SFC64 Small Fast Chaotic PRNG
• Scalars
• Set routines
• Setting up and using your development environment
• Signature file
• Sorting, searching, and counting
• Standard array subclasses
• Statistics
• Status of numpy.distutils and migration advice
• Subclassing ndarray
• System configuration
• Testing guidelines
• Testing the numpy.i typemaps
• The N-dimensional array (ndarray)
• The array interface protocol
• Thread Safety
• Three ways to wrap - getting started
• Troubleshooting
• Under-the-hood documentation for developers
• Understanding Meson
• Universal functions (ufunc)
• Universal functions (ufunc) basics
• Upgrading PCG64 with PCG64DXSM
• Using F2PY bindings in Python
• Using NumPy C-API
• Using Python as glue
• Using the convenience classes
• Using via cmake
• Using via meson
• Using via numpy.distutils
• Using via scikit-build
• Verifying bugs and bug fixes in NumPy
• Version information
• What is NumPy?
• What’s new or different
• Window functions
• Working with Arrays of Strings And Bytes
• Writing custom array containers
• Writing your own ufunc
• extending.pyx
• extending_distributions.pyx
• meson.build
• numpy.distutils user guide
• numpy.i: a SWIG interface file for NumPy
• ufunc API

Macros

• NO_IMPORT_ARRAY
• NO_IMPORT_UFUNC
• NPY_1_PI
• NPY_2_PI
• NPY_ALLOW_C_API
• NPY_ALLOW_C_API_DEF
• NPY_ALLOW_THREADS
• NPY_API_SYMBOL_ATTRIBUTE
• NPY_ARRAY_ALIGNED
• NPY_ARRAY_BEHAVED
• NPY_ARRAY_BEHAVED_NS
• NPY_ARRAY_CARRAY
• NPY_ARRAY_CARRAY_RO
• NPY_ARRAY_C_CONTIGUOUS
• NPY_ARRAY_DEFAULT
• NPY_ARRAY_ELEMENTSTRIDES
• NPY_ARRAY_ENSUREARRAY
• NPY_ARRAY_ENSURECOPY
• NPY_ARRAY_FARRAY
• NPY_ARRAY_FARRAY_RO
• NPY_ARRAY_FORCECAST
• NPY_ARRAY_F_CONTIGUOUS
• NPY_ARRAY_INOUT_ARRAY
• NPY_ARRAY_INOUT_FARRAY
• NPY_ARRAY_IN_ARRAY
• NPY_ARRAY_IN_FARRAY
• NPY_ARRAY_NOTSWAPPED
• NPY_ARRAY_OUT_ARRAY
• NPY_ARRAY_OUT_FARRAY
• NPY_ARRAY_OWNDATA
• NPY_ARRAY_UPDATE_ALL
• NPY_ARRAY_WRITEABLE
• NPY_ARRAY_WRITEBACKIFCOPY
• NPY_ARR_HAS_DESCR
• NPY_BEGIN_ALLOW_THREADS
• NPY_BEGIN_THREADS
• NPY_BEGIN_THREADS_DEF
• NPY_BIG
• NPY_BIG_ENDIAN
• NPY_BUFSIZE
• NPY_BYTE_ORDER
• NPY_CPU_AMD64
• NPY_CPU_IA64
• NPY_CPU_PARISC
• NPY_CPU_PPC
• NPY_CPU_PPC64
• NPY_CPU_S390
• NPY_CPU_SPARC
• NPY_CPU_SPARC64
• NPY_CPU_X86
• NPY_DISABLE_C_API
• NPY_DTYPE
• NPY_DT_ABSTRACT
• NPY_DT_NUMERIC
• NPY_DT_PARAMETRIC
• NPY_DT_PyArray_ArrFuncs_argmax
• NPY_DT_PyArray_ArrFuncs_argmin
• NPY_DT_PyArray_ArrFuncs_argsort
• NPY_DT_PyArray_ArrFuncs_compare
• NPY_DT_PyArray_ArrFuncs_dotfunc
• NPY_DT_PyArray_ArrFuncs_fill
• NPY_DT_PyArray_ArrFuncs_fillwithscalar
• NPY_DT_PyArray_ArrFuncs_fromstr
• NPY_DT_PyArray_ArrFuncs_getitem
• NPY_DT_PyArray_ArrFuncs_nonzero
• NPY_DT_PyArray_ArrFuncs_scanfunc
• NPY_DT_PyArray_ArrFuncs_setitem
• NPY_DT_PyArray_ArrFuncs_sort
• NPY_DT_common_dtype
• NPY_DT_common_instance
• NPY_DT_default_descr
• NPY_DT_discover_descr_from_pyobject
• NPY_DT_ensure_canonical
• NPY_DT_finalize_descr
• NPY_DT_get_clear_loop
• NPY_DT_get_fill_zero_loop
• NPY_DT_getitem
• NPY_DT_setitem
• NPY_E
• NPY_END_ALLOW_THREADS
• NPY_END_THREADS
• NPY_EULER
• NPY_FAIL
• NPY_FALSE
• NPY_FEATURE_VERSION
• NPY_FROM_FIELDS
• NPY_HALF_NAN
• NPY_HALF_NEGONE
• NPY_HALF_NINF
• NPY_HALF_NZERO
• NPY_HALF_ONE
• NPY_HALF_PINF
• NPY_HALF_PZERO
• NPY_HALF_ZERO
• NPY_IGNORE
• NPY_INFINITY
• NPY_INTP_FMT
• NPY_ITEM_HASOBJECT
• NPY_ITEM_IS_POINTER
• NPY_ITEM_REFCOUNT
• NPY_ITER_ALIGNED
• NPY_ITER_ALLOCATE
• NPY_ITER_ARRAYMASK
• NPY_ITER_BUFFERED
• NPY_ITER_COMMON_DTYPE
• NPY_ITER_CONTIG
• NPY_ITER_COPY
• NPY_ITER_COPY_IF_OVERLAP
• NPY_ITER_C_INDEX
• 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
• NPY_LIKELY
• NPY_LIST_PICKLE
• NPY_LITTLE
• NPY_LITTLE_ENDIAN
• NPY_LOG10E
• NPY_LOG2E
• NPY_LOGE10
• NPY_LOGE2
• NPY_LONGDOUBLE_FMT
• NPY_LONGLONG_FMT
• NPY_LOOP_BEGIN_THREADS
• NPY_LOOP_END_THREADS
• NPY_MAXARGS
• NPY_MAXDIMS
• NPY_MAX_BUFSIZE
• NPY_METH_contiguous_indexed_loop
• NPY_METH_contiguous_loop
• NPY_METH_get_loop
• NPY_METH_get_reduction_initial
• NPY_METH_resolve_descriptors
• NPY_METH_strided_loop
• NPY_METH_unaligned_contiguous_loop
• NPY_METH_unaligned_strided_loop
• NPY_MIN_BUFSIZE
• NPY_NAN
• NPY_NATIVE
• NPY_NEEDS_INIT
• NPY_NEEDS_PYAPI
• NPY_NOTYPE
• NPY_NTYPES_LEGACY
• NPY_NUM_FLOATTYPE
• NPY_NZERO
• NPY_OBJECT_DTYPE_FLAGS
• NPY_PI
• NPY_PI_2
• NPY_PI_4
• NPY_PRIORITY
• NPY_PZERO
• NPY_RAVEL_AXIS
• NPY_SCALAR_PRIORITY
• NPY_SIZEOF_DOUBLE
• NPY_SIZEOF_FLOAT
• NPY_SIZEOF_INT
• NPY_SIZEOF_INTP
• NPY_SIZEOF_LONG
• NPY_SIZEOF_LONGDOUBLE
• NPY_SIZEOF_LONGLONG
• NPY_SIZEOF_LONG_DOUBLE
• NPY_SIZEOF_PY_INTPTR_T
• NPY_SIZEOF_PY_LONG_LONG
• NPY_SIZEOF_SHORT
• NPY_SUBTYPE_PRIORITY
• NPY_SUCCEED
• NPY_SWAP
• NPY_TRUE
• NPY_UINTP_FMT
• NPY_ULONGLONG_FMT
• NPY_UNLIKELY
• NPY_UNUSED
• NPY_USERDEF
• NPY_USE_GETITEM
• NPY_USE_SETITEM
• NPY_VERSION
• PY_ARRAY_UNIQUE_SYMBOL
• PY_UFUNC_UNIQUE_SYMBOL
• PyArray_Choose.NPY_CLIP
• PyArray_Choose.NPY_RAISE
• PyArray_Choose.NPY_WRAP
• PyArray_GetEndianness.NPY_CPU_BIG
• PyArray_GetEndianness.NPY_CPU_LITTLE
• PyArray_GetEndianness.NPY_CPU_UNKNOWN_ENDIAN
• PyArray_IsScalar
• PyArray_MAX
• PyArray_MIN
• PyArray_NeighborhoodIterNew.NPY_NEIGHBORHOOD_ITER_CIRCULAR_PADDING
• PyArray_NeighborhoodIterNew.NPY_NEIGHBORHOOD_ITER_CONSTANT_PADDING
• PyArray_NeighborhoodIterNew.NPY_NEIGHBORHOOD_ITER_MIRROR_PADDING
• PyArray_NeighborhoodIterNew.NPY_NEIGHBORHOOD_ITER_ONE_PADDING
• PyArray_NeighborhoodIterNew.NPY_NEIGHBORHOOD_ITER_ZERO_PADDING
• PyArray_realloc.NPY_USE_PYMEM
• PyUFunc_IdentityValue
• PyUFunc_MinusOne
• PyUFunc_None
• PyUFunc_One
• PyUFunc_ReorderableNone
• PyUFunc_Zero
• UFUNC_CORE_DIM_CAN_IGNORE
• UFUNC_CORE_DIM_SIZE_INFERRED
• UFUNC_FPE_DIVIDEBYZERO
• UFUNC_FPE_INVALID
• UFUNC_FPE_OVERFLOW
• UFUNC_FPE_UNDERFLOW
• import_array
• import_ufunc
• npy_copysign
• npy_isfinite
• npy_isinf
• npy_isnan
• npy_signbit

Methods

• numpy.__array_namespace_info__.capabilities
• numpy.__array_namespace_info__.default_device
• numpy.__array_namespace_info__.default_dtypes
• numpy.__array_namespace_info__.devices
• numpy.__array_namespace_info__.dtypes
• numpy.absolute
• numpy.acos
• numpy.acosh
• numpy.add
• numpy.arccos
• numpy.arccosh
• numpy.arcsin
• numpy.arcsinh
• numpy.arctan
• numpy.arctan2
• numpy.arctanh
• numpy.asin
• numpy.asinh
• numpy.atan
• numpy.atan2
• numpy.atanh
• numpy.bitwise_and
• numpy.bitwise_count
• numpy.bitwise_invert
• numpy.bitwise_left_shift
• numpy.bitwise_or
• numpy.bitwise_right_shift
• numpy.bitwise_xor
• numpy.broadcast.reset
• numpy.c_
• numpy.cbrt
• numpy.ceil
• numpy.char.add
• numpy.char.chararray.all
• numpy.char.chararray.any
• numpy.char.chararray.argmax
• numpy.char.chararray.argmin
• numpy.char.chararray.argpartition
• numpy.char.chararray.argsort
• numpy.char.chararray.astype
• numpy.char.chararray.byteswap
• numpy.char.chararray.capitalize
• numpy.char.chararray.center
• numpy.char.chararray.choose
• numpy.char.chararray.clip
• numpy.char.chararray.compress
• numpy.char.chararray.conj
• numpy.char.chararray.conjugate
• numpy.char.chararray.copy
• numpy.char.chararray.count
• numpy.char.chararray.cumprod
• numpy.char.chararray.cumsum
• numpy.char.chararray.decode
• numpy.char.chararray.diagonal
• numpy.char.chararray.dot
• 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.max
• numpy.char.chararray.mean
• numpy.char.chararray.min
• numpy.char.chararray.nonzero
• numpy.char.chararray.partition
• numpy.char.chararray.prod
• 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.round
• numpy.char.chararray.rpartition
• 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.std
• numpy.char.chararray.strip
• numpy.char.chararray.sum
• numpy.char.chararray.swapaxes
• numpy.char.chararray.swapcase
• numpy.char.chararray.take
• numpy.char.chararray.title
• numpy.char.chararray.to_device
• numpy.char.chararray.tobytes
• numpy.char.chararray.tofile
• numpy.char.chararray.tolist
• numpy.char.chararray.tostring
• numpy.char.chararray.trace
• numpy.char.chararray.translate
• numpy.char.chararray.transpose
• numpy.char.chararray.upper
• numpy.char.chararray.var
• numpy.char.chararray.view
• numpy.char.chararray.zfill
• 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.str_len
• numpy.class.__array__
• numpy.class.__array_finalize__
• numpy.class.__array_function__
• numpy.class.__array_ufunc__
• numpy.class.__array_wrap__
• numpy.conj
• numpy.conjugate
• numpy.copysign
• numpy.cos
• numpy.cosh
• numpy.deg2rad
• numpy.degrees
• numpy.distutils.ccompiler_opt.CCompilerOpt.cache_flush
• numpy.distutils.ccompiler_opt.CCompilerOpt.cache_hash
• numpy.distutils.ccompiler_opt.CCompilerOpt.cc_normalize_flags
• numpy.distutils.ccompiler_opt.CCompilerOpt.cc_test_cexpr
• numpy.distutils.ccompiler_opt.CCompilerOpt.cc_test_flags
• 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_can_autovec
• numpy.distutils.ccompiler_opt.CCompilerOpt.feature_detect
• numpy.distutils.ccompiler_opt.CCompilerOpt.feature_extra_checks
• numpy.distutils.ccompiler_opt.CCompilerOpt.feature_flags
• 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_is_supported
• numpy.distutils.ccompiler_opt.CCompilerOpt.feature_names
• numpy.distutils.ccompiler_opt.CCompilerOpt.feature_sorted
• numpy.distutils.ccompiler_opt.CCompilerOpt.feature_test
• 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.report
• numpy.distutils.ccompiler_opt.CCompilerOpt.try_dispatch
• numpy.distutils.core.Extension.has_cxx_sources
• numpy.distutils.core.Extension.has_f2py_sources
• numpy.distutils.cpuinfo.cpu
• numpy.distutils.misc_util.Configuration.add_data_dir
• numpy.distutils.misc_util.Configuration.add_data_files
• numpy.distutils.misc_util.Configuration.add_extension
• numpy.distutils.misc_util.Configuration.add_headers
• numpy.distutils.misc_util.Configuration.add_include_dirs
• numpy.distutils.misc_util.Configuration.add_installed_library
• numpy.distutils.misc_util.Configuration.add_library
• numpy.distutils.misc_util.Configuration.add_npy_pkg_config
• numpy.distutils.misc_util.Configuration.add_scripts
• numpy.distutils.misc_util.Configuration.add_subpackage
• numpy.distutils.misc_util.Configuration.get_build_temp_dir
• numpy.distutils.misc_util.Configuration.get_config_cmd
• numpy.distutils.misc_util.Configuration.get_distribution
• numpy.distutils.misc_util.Configuration.get_info
• numpy.distutils.misc_util.Configuration.get_subpackage
• numpy.distutils.misc_util.Configuration.get_version
• numpy.distutils.misc_util.Configuration.have_f77c
• numpy.distutils.misc_util.Configuration.have_f90c
• numpy.distutils.misc_util.Configuration.make_config_py
• numpy.distutils.misc_util.Configuration.make_svn_version_py
• numpy.distutils.misc_util.Configuration.paths
• numpy.distutils.misc_util.Configuration.todict
• numpy.divide
• numpy.divmod
• numpy.dtype.__class_getitem__
• numpy.dtype.__ge__
• numpy.dtype.__gt__
• numpy.dtype.__le__
• numpy.dtype.__lt__
• numpy.dtype.__reduce__
• numpy.dtype.__setstate__
• numpy.dtype.newbyteorder
• numpy.e
• numpy.equal
• numpy.errstate.__call__
• numpy.euler_gamma
• numpy.exp
• numpy.exp2
• numpy.expm1
• numpy.fabs
• numpy.flatiter.copy
• numpy.float_power
• numpy.floor
• numpy.floor_divide
• numpy.fmax
• numpy.fmin
• numpy.fmod
• numpy.frexp
• numpy.gcd
• numpy.generic.__array__
• numpy.generic.__array_wrap__
• numpy.generic.__reduce__
• numpy.generic.__setstate__
• numpy.generic.byteswap
• numpy.generic.setflags
• numpy.generic.squeeze
• numpy.greater
• numpy.greater_equal
• numpy.heaviside
• numpy.hypot
• numpy.inf
• numpy.invert
• numpy.isfinite
• numpy.isinf
• numpy.isnan
• numpy.isnat
• numpy.lcm
• numpy.ldexp
• numpy.left_shift
• numpy.less
• numpy.less_equal
• numpy.lib.npyio.DataSource.abspath
• numpy.lib.npyio.DataSource.exists
• numpy.lib.npyio.DataSource.open
• numpy.lib.npyio.NpzFile.close
• numpy.lib.npyio.NpzFile.get
• numpy.lib.npyio.NpzFile.items
• numpy.lib.npyio.NpzFile.keys
• numpy.lib.npyio.NpzFile.values
• numpy.lib.user_array.container.astype
• numpy.lib.user_array.container.byteswap
• numpy.lib.user_array.container.copy
• numpy.lib.user_array.container.tobytes
• numpy.lib.user_array.container.tostring
• 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.ma.MaskType.all
• numpy.ma.MaskType.any
• numpy.ma.MaskType.argmax
• numpy.ma.MaskType.argmin
• numpy.ma.MaskType.argsort
• numpy.ma.MaskType.astype
• numpy.ma.MaskType.byteswap
• numpy.ma.MaskType.choose
• numpy.ma.MaskType.clip
• numpy.ma.MaskType.compress
• numpy.ma.MaskType.conj
• numpy.ma.MaskType.conjugate
• numpy.ma.MaskType.copy
• numpy.ma.MaskType.cumprod
• numpy.ma.MaskType.cumsum
• numpy.ma.MaskType.diagonal
• numpy.ma.MaskType.dump
• numpy.ma.MaskType.dumps
• numpy.ma.MaskType.fill
• numpy.ma.MaskType.flatten
• numpy.ma.MaskType.getfield
• numpy.ma.MaskType.item
• numpy.ma.MaskType.max
• numpy.ma.MaskType.mean
• numpy.ma.MaskType.min
• numpy.ma.MaskType.nonzero
• numpy.ma.MaskType.prod
• numpy.ma.MaskType.put
• numpy.ma.MaskType.ravel
• numpy.ma.MaskType.repeat
• numpy.ma.MaskType.reshape
• numpy.ma.MaskType.resize
• numpy.ma.MaskType.round
• numpy.ma.MaskType.searchsorted
• numpy.ma.MaskType.setfield
• numpy.ma.MaskType.setflags
• numpy.ma.MaskType.sort
• numpy.ma.MaskType.squeeze
• numpy.ma.MaskType.std
• numpy.ma.MaskType.sum
• numpy.ma.MaskType.swapaxes
• numpy.ma.MaskType.take
• numpy.ma.MaskType.to_device
• numpy.ma.MaskType.tobytes
• numpy.ma.MaskType.tofile
• numpy.ma.MaskType.tolist
• numpy.ma.MaskType.tostring
• numpy.ma.MaskType.trace
• numpy.ma.MaskType.transpose
• numpy.ma.MaskType.var
• numpy.ma.MaskType.view
• numpy.ma.MaskedArray.__abs__
• numpy.ma.MaskedArray.__add__
• numpy.ma.MaskedArray.__and__
• numpy.ma.MaskedArray.__array__
• numpy.ma.MaskedArray.__array_wrap__
• numpy.ma.MaskedArray.__bool__
• numpy.ma.MaskedArray.__contains__
• numpy.ma.MaskedArray.__copy__
• numpy.ma.MaskedArray.__deepcopy__
• numpy.ma.MaskedArray.__delitem__
• numpy.ma.MaskedArray.__div__
• numpy.ma.MaskedArray.__divmod__
• numpy.ma.MaskedArray.__eq__
• numpy.ma.MaskedArray.__float__
• numpy.ma.MaskedArray.__floordiv__
• numpy.ma.MaskedArray.__ge__
• numpy.ma.MaskedArray.__getitem__
• numpy.ma.MaskedArray.__getstate__
• numpy.ma.MaskedArray.__gt__
• numpy.ma.MaskedArray.__iadd__
• numpy.ma.MaskedArray.__iand__
• numpy.ma.MaskedArray.__idiv__
• numpy.ma.MaskedArray.__ifloordiv__
• numpy.ma.MaskedArray.__ilshift__
• numpy.ma.MaskedArray.__imod__
• numpy.ma.MaskedArray.__imul__
• numpy.ma.MaskedArray.__int__
• numpy.ma.MaskedArray.__ior__
• numpy.ma.MaskedArray.__ipow__
• numpy.ma.MaskedArray.__irshift__
• numpy.ma.MaskedArray.__isub__
• numpy.ma.MaskedArray.__itruediv__
• numpy.ma.MaskedArray.__ixor__
• numpy.ma.MaskedArray.__le__
• numpy.ma.MaskedArray.__len__
• numpy.ma.MaskedArray.__lshift__
• numpy.ma.MaskedArray.__lt__
• numpy.ma.MaskedArray.__mod__
• numpy.ma.MaskedArray.__mul__
• numpy.ma.MaskedArray.__ne__
• numpy.ma.MaskedArray.__new__
• numpy.ma.MaskedArray.__or__
• numpy.ma.MaskedArray.__pow__
• numpy.ma.MaskedArray.__radd__
• numpy.ma.MaskedArray.__rand__
• numpy.ma.MaskedArray.__rdivmod__
• numpy.ma.MaskedArray.__reduce__
• numpy.ma.MaskedArray.__repr__
• numpy.ma.MaskedArray.__rfloordiv__
• numpy.ma.MaskedArray.__rlshift__
• numpy.ma.MaskedArray.__rmod__
• numpy.ma.MaskedArray.__rmul__
• numpy.ma.MaskedArray.__ror__
• numpy.ma.MaskedArray.__rpow__
• numpy.ma.MaskedArray.__rrshift__
• numpy.ma.MaskedArray.__rshift__
• numpy.ma.MaskedArray.__rsub__
• numpy.ma.MaskedArray.__rtruediv__
• numpy.ma.MaskedArray.__rxor__
• numpy.ma.MaskedArray.__setitem__
• numpy.ma.MaskedArray.__setmask__
• numpy.ma.MaskedArray.__setstate__
• numpy.ma.MaskedArray.__str__
• numpy.ma.MaskedArray.__sub__
• numpy.ma.MaskedArray.__truediv__
• numpy.ma.MaskedArray.__xor__
• 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.astype
• numpy.ma.MaskedArray.byteswap
• numpy.ma.MaskedArray.choose
• numpy.ma.MaskedArray.clip
• numpy.ma.MaskedArray.compress
• numpy.ma.MaskedArray.compressed
• numpy.ma.MaskedArray.conj
• numpy.ma.MaskedArray.conjugate
• numpy.ma.MaskedArray.copy
• numpy.ma.MaskedArray.count
• numpy.ma.MaskedArray.cumprod
• numpy.ma.MaskedArray.cumsum
• numpy.ma.MaskedArray.diagonal
• numpy.ma.MaskedArray.dump
• numpy.ma.MaskedArray.dumps
• numpy.ma.MaskedArray.fill
• numpy.ma.MaskedArray.filled
• numpy.ma.MaskedArray.flatten
• numpy.ma.MaskedArray.get_fill_value
• numpy.ma.MaskedArray.harden_mask
• numpy.ma.MaskedArray.ids
• numpy.ma.MaskedArray.iscontiguous
• numpy.ma.MaskedArray.item
• numpy.ma.MaskedArray.max
• numpy.ma.MaskedArray.mean
• numpy.ma.MaskedArray.min
• numpy.ma.MaskedArray.nonzero
• numpy.ma.MaskedArray.prod
• numpy.ma.MaskedArray.product
• numpy.ma.MaskedArray.ptp
• numpy.ma.MaskedArray.put
• numpy.ma.MaskedArray.ravel
• numpy.ma.MaskedArray.repeat
• numpy.ma.MaskedArray.reshape
• numpy.ma.MaskedArray.resize
• numpy.ma.MaskedArray.round
• numpy.ma.MaskedArray.searchsorted
• 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.take
• numpy.ma.MaskedArray.tobytes
• numpy.ma.MaskedArray.tofile
• numpy.ma.MaskedArray.toflex
• numpy.ma.MaskedArray.tolist
• numpy.ma.MaskedArray.torecords
• numpy.ma.MaskedArray.tostring
• numpy.ma.MaskedArray.trace
• numpy.ma.MaskedArray.transpose
• numpy.ma.MaskedArray.unshare_mask
• numpy.ma.MaskedArray.var
• numpy.ma.MaskedArray.view
• numpy.ma.all
• numpy.ma.anom
• numpy.ma.anomalies
• numpy.ma.any
• numpy.ma.arange
• numpy.ma.argmax
• numpy.ma.argmin
• numpy.ma.around
• numpy.ma.atleast_1d
• numpy.ma.atleast_2d
• numpy.ma.atleast_3d
• numpy.ma.clip
• numpy.ma.column_stack
• numpy.ma.conjugate
• numpy.ma.copy
• numpy.ma.count
• numpy.ma.cumprod
• numpy.ma.cumsum
• numpy.ma.diagflat
• numpy.ma.dstack
• numpy.ma.empty
• numpy.ma.empty_like
• numpy.ma.frombuffer
• numpy.ma.fromfunction
• numpy.ma.harden_mask
• numpy.ma.hsplit
• numpy.ma.hstack
• numpy.ma.identity
• numpy.ma.indices
• numpy.ma.masked
• numpy.ma.masked_array.all
• numpy.ma.masked_array.anom
• numpy.ma.masked_array.any
• numpy.ma.masked_array.argmax
• numpy.ma.masked_array.argmin
• numpy.ma.masked_array.argpartition
• numpy.ma.masked_array.argsort
• numpy.ma.masked_array.astype
• numpy.ma.masked_array.byteswap
• numpy.ma.masked_array.choose
• numpy.ma.masked_array.clip
• numpy.ma.masked_array.compress
• numpy.ma.masked_array.compressed
• numpy.ma.masked_array.conj
• numpy.ma.masked_array.conjugate
• numpy.ma.masked_array.copy
• numpy.ma.masked_array.count
• numpy.ma.masked_array.cumprod
• numpy.ma.masked_array.cumsum
• numpy.ma.masked_array.diagonal
• numpy.ma.masked_array.dot
• numpy.ma.masked_array.dump
• numpy.ma.masked_array.dumps
• numpy.ma.masked_array.fill
• numpy.ma.masked_array.filled
• numpy.ma.masked_array.flatten
• numpy.ma.masked_array.get_fill_value
• numpy.ma.masked_array.get_imag
• numpy.ma.masked_array.get_real
• numpy.ma.masked_array.getfield
• numpy.ma.masked_array.harden_mask
• numpy.ma.masked_array.ids
• numpy.ma.masked_array.iscontiguous
• numpy.ma.masked_array.item
• numpy.ma.masked_array.max
• numpy.ma.masked_array.mean
• numpy.ma.masked_array.min
• numpy.ma.masked_array.nonzero
• numpy.ma.masked_array.partition
• numpy.ma.masked_array.prod
• numpy.ma.masked_array.product
• numpy.ma.masked_array.ptp
• numpy.ma.masked_array.put
• numpy.ma.masked_array.ravel
• numpy.ma.masked_array.repeat
• numpy.ma.masked_array.reshape
• numpy.ma.masked_array.resize
• numpy.ma.masked_array.round
• numpy.ma.masked_array.searchsorted
• numpy.ma.masked_array.set_fill_value
• numpy.ma.masked_array.setfield
• numpy.ma.masked_array.setflags
• numpy.ma.masked_array.shrink_mask
• numpy.ma.masked_array.soften_mask
• numpy.ma.masked_array.sort
• numpy.ma.masked_array.squeeze
• numpy.ma.masked_array.std
• numpy.ma.masked_array.sum
• numpy.ma.masked_array.swapaxes
• numpy.ma.masked_array.take
• numpy.ma.masked_array.to_device
• numpy.ma.masked_array.tobytes
• numpy.ma.masked_array.tofile
• numpy.ma.masked_array.toflex
• numpy.ma.masked_array.tolist
• numpy.ma.masked_array.torecords
• numpy.ma.masked_array.tostring
• numpy.ma.masked_array.trace
• numpy.ma.masked_array.transpose
• numpy.ma.masked_array.unshare_mask
• numpy.ma.masked_array.var
• numpy.ma.masked_array.view
• numpy.ma.masked_print_option
• numpy.ma.mean
• numpy.ma.mr_
• numpy.ma.nomask
• numpy.ma.nonzero
• numpy.ma.ones
• numpy.ma.ones_like
• numpy.ma.prod
• numpy.ma.ravel
• numpy.ma.soften_mask
• numpy.ma.squeeze
• numpy.ma.stack
• numpy.ma.std
• numpy.ma.sum
• numpy.ma.swapaxes
• numpy.ma.trace
• numpy.ma.var
• numpy.ma.vstack
• numpy.ma.zeros
• numpy.ma.zeros_like
• numpy.matmul
• 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.dot
• numpy.matrix.dump
• numpy.matrix.dumps
• numpy.matrix.fill
• numpy.matrix.flatten
• numpy.matrix.getA
• numpy.matrix.getA1
• numpy.matrix.getH
• numpy.matrix.getI
• numpy.matrix.getT
• numpy.matrix.getfield
• numpy.matrix.item
• numpy.matrix.max
• numpy.matrix.mean
• numpy.matrix.min
• 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.take
• numpy.matrix.to_device
• 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.matvec
• numpy.maximum
• numpy.memmap.all
• numpy.memmap.any
• numpy.memmap.argmax
• numpy.memmap.argmin
• numpy.memmap.argpartition
• numpy.memmap.argsort
• numpy.memmap.astype
• numpy.memmap.byteswap
• numpy.memmap.choose
• numpy.memmap.clip
• numpy.memmap.compress
• numpy.memmap.conj
• numpy.memmap.conjugate
• numpy.memmap.copy
• numpy.memmap.cumprod
• numpy.memmap.cumsum
• numpy.memmap.diagonal
• numpy.memmap.dot
• numpy.memmap.dump
• numpy.memmap.dumps
• numpy.memmap.fill
• numpy.memmap.flatten
• numpy.memmap.flush
• numpy.memmap.getfield
• numpy.memmap.item
• numpy.memmap.max
• numpy.memmap.mean
• numpy.memmap.min
• numpy.memmap.nonzero
• numpy.memmap.partition
• numpy.memmap.prod
• numpy.memmap.put
• numpy.memmap.ravel
• numpy.memmap.repeat
• numpy.memmap.reshape
• numpy.memmap.resize
• numpy.memmap.round
• numpy.memmap.searchsorted
• numpy.memmap.setfield
• numpy.memmap.setflags
• numpy.memmap.sort
• numpy.memmap.squeeze
• numpy.memmap.std
• numpy.memmap.sum
• numpy.memmap.swapaxes
• numpy.memmap.take
• numpy.memmap.to_device
• numpy.memmap.tobytes
• numpy.memmap.tofile
• numpy.memmap.tolist
• numpy.memmap.tostring
• numpy.memmap.trace
• numpy.memmap.transpose
• numpy.memmap.var
• numpy.memmap.view
• numpy.mgrid
• numpy.minimum
• numpy.mod
• numpy.modf
• numpy.multiply
• numpy.nan
• 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.byteswap
• numpy.ndarray.choose
• numpy.ndarray.clip
• numpy.ndarray.compress
• numpy.ndarray.conj
• numpy.ndarray.conjugate
• numpy.ndarray.copy
• numpy.ndarray.cumprod
• numpy.ndarray.cumsum
• numpy.ndarray.diagonal
• numpy.ndarray.dot
• numpy.ndarray.dump
• numpy.ndarray.dumps
• numpy.ndarray.fill
• numpy.ndarray.flatten
• numpy.ndarray.getfield
• numpy.ndarray.item
• numpy.ndarray.max
• numpy.ndarray.mean
• numpy.ndarray.min
• numpy.ndarray.nonzero
• numpy.ndarray.partition
• numpy.ndarray.prod
• numpy.ndarray.put
• numpy.ndarray.ravel
• numpy.ndarray.repeat
• numpy.ndarray.reshape
• numpy.ndarray.resize
• numpy.ndarray.round
• numpy.ndarray.searchsorted
• numpy.ndarray.setfield
• numpy.ndarray.setflags
• numpy.ndarray.sort
• numpy.ndarray.squeeze
• numpy.ndarray.std
• numpy.ndarray.sum
• numpy.ndarray.swapaxes
• numpy.ndarray.take
• numpy.ndarray.to_device
• 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.ndindex.ndincr
• 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.newaxis
• numpy.nextafter
• numpy.not_equal
• numpy.number.__class_getitem__
• numpy.ogrid
• numpy.pi
• numpy.poly1d.__call__
• numpy.poly1d.deriv
• numpy.poly1d.integ
• numpy.polynomial.chebyshev.Chebyshev.__call__
• numpy.polynomial.chebyshev.Chebyshev.basis
• numpy.polynomial.chebyshev.Chebyshev.cast
• numpy.polynomial.chebyshev.Chebyshev.convert
• numpy.polynomial.chebyshev.Chebyshev.copy
• numpy.polynomial.chebyshev.Chebyshev.cutdeg
• numpy.polynomial.chebyshev.Chebyshev.degree
• numpy.polynomial.chebyshev.Chebyshev.deriv
• numpy.polynomial.chebyshev.Chebyshev.fit
• numpy.polynomial.chebyshev.Chebyshev.fromroots
• numpy.polynomial.chebyshev.Chebyshev.has_samecoef
• numpy.polynomial.chebyshev.Chebyshev.has_samedomain
• numpy.polynomial.chebyshev.Chebyshev.has_sametype
• numpy.polynomial.chebyshev.Chebyshev.has_samewindow
• numpy.polynomial.chebyshev.Chebyshev.identity
• numpy.polynomial.chebyshev.Chebyshev.integ
• numpy.polynomial.chebyshev.Chebyshev.interpolate
• numpy.polynomial.chebyshev.Chebyshev.linspace
• numpy.polynomial.chebyshev.Chebyshev.mapparms
• numpy.polynomial.chebyshev.Chebyshev.roots
• numpy.polynomial.chebyshev.Chebyshev.trim
• numpy.polynomial.chebyshev.Chebyshev.truncate
• numpy.polynomial.chebyshev.chebdomain
• numpy.polynomial.chebyshev.chebone
• numpy.polynomial.chebyshev.chebx
• numpy.polynomial.chebyshev.chebzero
• numpy.polynomial.hermite.Hermite.__call__
• numpy.polynomial.hermite.Hermite.basis
• numpy.polynomial.hermite.Hermite.cast
• numpy.polynomial.hermite.Hermite.convert
• numpy.polynomial.hermite.Hermite.copy
• numpy.polynomial.hermite.Hermite.cutdeg
• numpy.polynomial.hermite.Hermite.degree
• numpy.polynomial.hermite.Hermite.deriv
• numpy.polynomial.hermite.Hermite.fit
• numpy.polynomial.hermite.Hermite.fromroots
• numpy.polynomial.hermite.Hermite.has_samecoef
• numpy.polynomial.hermite.Hermite.has_samedomain
• numpy.polynomial.hermite.Hermite.has_sametype
• numpy.polynomial.hermite.Hermite.has_samewindow
• numpy.polynomial.hermite.Hermite.identity
• numpy.polynomial.hermite.Hermite.integ
• numpy.polynomial.hermite.Hermite.linspace
• numpy.polynomial.hermite.Hermite.mapparms
• numpy.polynomial.hermite.Hermite.roots
• numpy.polynomial.hermite.Hermite.trim
• numpy.polynomial.hermite.Hermite.truncate
• numpy.polynomial.hermite.hermdomain
• numpy.polynomial.hermite.hermone
• numpy.polynomial.hermite.hermx
• numpy.polynomial.hermite.hermzero
• numpy.polynomial.hermite_e.HermiteE.__call__
• numpy.polynomial.hermite_e.HermiteE.basis
• numpy.polynomial.hermite_e.HermiteE.cast
• numpy.polynomial.hermite_e.HermiteE.convert
• numpy.polynomial.hermite_e.HermiteE.copy
• numpy.polynomial.hermite_e.HermiteE.cutdeg
• numpy.polynomial.hermite_e.HermiteE.degree
• numpy.polynomial.hermite_e.HermiteE.deriv
• numpy.polynomial.hermite_e.HermiteE.fit
• numpy.polynomial.hermite_e.HermiteE.fromroots
• numpy.polynomial.hermite_e.HermiteE.has_samecoef
• numpy.polynomial.hermite_e.HermiteE.has_samedomain
• numpy.polynomial.hermite_e.HermiteE.has_sametype
• numpy.polynomial.hermite_e.HermiteE.has_samewindow
• numpy.polynomial.hermite_e.HermiteE.identity
• numpy.polynomial.hermite_e.HermiteE.integ
• numpy.polynomial.hermite_e.HermiteE.linspace
• numpy.polynomial.hermite_e.HermiteE.mapparms
• numpy.polynomial.hermite_e.HermiteE.roots
• numpy.polynomial.hermite_e.HermiteE.trim
• numpy.polynomial.hermite_e.HermiteE.truncate
• numpy.polynomial.hermite_e.hermedomain
• numpy.polynomial.hermite_e.hermeone
• numpy.polynomial.hermite_e.hermex
• numpy.polynomial.hermite_e.hermezero
• numpy.polynomial.laguerre.Laguerre.__call__
• numpy.polynomial.laguerre.Laguerre.basis
• numpy.polynomial.laguerre.Laguerre.cast
• numpy.polynomial.laguerre.Laguerre.convert
• numpy.polynomial.laguerre.Laguerre.copy
• numpy.polynomial.laguerre.Laguerre.cutdeg
• numpy.polynomial.laguerre.Laguerre.degree
• numpy.polynomial.laguerre.Laguerre.deriv
• numpy.polynomial.laguerre.Laguerre.fit
• numpy.polynomial.laguerre.Laguerre.fromroots
• numpy.polynomial.laguerre.Laguerre.has_samecoef
• numpy.polynomial.laguerre.Laguerre.has_samedomain
• numpy.polynomial.laguerre.Laguerre.has_sametype
• numpy.polynomial.laguerre.Laguerre.has_samewindow
• numpy.polynomial.laguerre.Laguerre.identity
• numpy.polynomial.laguerre.Laguerre.integ
• numpy.polynomial.laguerre.Laguerre.linspace
• numpy.polynomial.laguerre.Laguerre.mapparms
• numpy.polynomial.laguerre.Laguerre.roots
• numpy.polynomial.laguerre.Laguerre.trim
• numpy.polynomial.laguerre.Laguerre.truncate
• numpy.polynomial.laguerre.lagdomain
• numpy.polynomial.laguerre.lagone
• numpy.polynomial.laguerre.lagx
• numpy.polynomial.laguerre.lagzero
• numpy.polynomial.legendre.Legendre.__call__
• numpy.polynomial.legendre.Legendre.basis
• numpy.polynomial.legendre.Legendre.cast
• numpy.polynomial.legendre.Legendre.convert
• numpy.polynomial.legendre.Legendre.copy
• numpy.polynomial.legendre.Legendre.cutdeg
• numpy.polynomial.legendre.Legendre.degree
• numpy.polynomial.legendre.Legendre.deriv
• numpy.polynomial.legendre.Legendre.fit
• numpy.polynomial.legendre.Legendre.fromroots
• numpy.polynomial.legendre.Legendre.has_samecoef
• numpy.polynomial.legendre.Legendre.has_samedomain
• numpy.polynomial.legendre.Legendre.has_sametype
• numpy.polynomial.legendre.Legendre.has_samewindow
• numpy.polynomial.legendre.Legendre.identity
• numpy.polynomial.legendre.Legendre.integ
• numpy.polynomial.legendre.Legendre.linspace
• numpy.polynomial.legendre.Legendre.mapparms
• numpy.polynomial.legendre.Legendre.roots
• numpy.polynomial.legendre.Legendre.trim
• numpy.polynomial.legendre.Legendre.truncate
• numpy.polynomial.legendre.legdomain
• numpy.polynomial.legendre.legone
• numpy.polynomial.legendre.legx
• numpy.polynomial.legendre.legzero
• numpy.polynomial.polynomial.Polynomial.__call__
• numpy.polynomial.polynomial.Polynomial.basis
• numpy.polynomial.polynomial.Polynomial.cast
• numpy.polynomial.polynomial.Polynomial.convert
• numpy.polynomial.polynomial.Polynomial.copy
• numpy.polynomial.polynomial.Polynomial.cutdeg
• numpy.polynomial.polynomial.Polynomial.degree
• numpy.polynomial.polynomial.Polynomial.deriv
• numpy.polynomial.polynomial.Polynomial.fit
• numpy.polynomial.polynomial.Polynomial.fromroots
• numpy.polynomial.polynomial.Polynomial.has_samecoef
• numpy.polynomial.polynomial.Polynomial.has_samedomain
• numpy.polynomial.polynomial.Polynomial.has_sametype
• numpy.polynomial.polynomial.Polynomial.has_samewindow
• numpy.polynomial.polynomial.Polynomial.identity
• numpy.polynomial.polynomial.Polynomial.integ
• numpy.polynomial.polynomial.Polynomial.linspace
• numpy.polynomial.polynomial.Polynomial.mapparms
• numpy.polynomial.polynomial.Polynomial.roots
• numpy.polynomial.polynomial.Polynomial.trim
• numpy.polynomial.polynomial.Polynomial.truncate
• numpy.polynomial.polynomial.polydomain
• numpy.polynomial.polynomial.polyone
• numpy.polynomial.polynomial.polyx
• numpy.polynomial.polynomial.polyzero
• numpy.positive
• numpy.pow
• numpy.power
• numpy.r_
• numpy.rad2deg
• numpy.radians
• numpy.random.BitGenerator.random_raw
• numpy.random.BitGenerator.spawn
• numpy.random.Generator.beta
• numpy.random.Generator.binomial
• 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.spawn
• 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.MT19937.jumped
• numpy.random.PCG64.advance
• numpy.random.PCG64.jumped
• numpy.random.PCG64DXSM.advance
• numpy.random.PCG64DXSM.jumped
• numpy.random.Philox.advance
• numpy.random.Philox.jumped
• 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.SeedSequence.generate_state
• numpy.random.SeedSequence.spawn
• 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.dot
• numpy.recarray.dump
• numpy.recarray.dumps
• numpy.recarray.field
• numpy.recarray.fill
• numpy.recarray.flatten
• numpy.recarray.getfield
• numpy.recarray.item
• numpy.recarray.max
• numpy.recarray.mean
• numpy.recarray.min
• numpy.recarray.nonzero
• numpy.recarray.partition
• numpy.recarray.prod
• 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.to_device
• 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.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.conj
• 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.max
• numpy.record.mean
• numpy.record.min
• numpy.record.nonzero
• numpy.record.pprint
• numpy.record.prod
• 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.to_device
• numpy.record.tobytes
• numpy.record.tofile
• numpy.record.tolist
• numpy.record.tostring
• numpy.record.trace
• numpy.record.transpose
• numpy.record.var
• numpy.record.view
• numpy.remainder
• numpy.right_shift
• numpy.rint
• numpy.s_
• numpy.sign
• numpy.signbit
• numpy.sin
• numpy.sinh
• numpy.spacing
• numpy.sqrt
• numpy.square
• numpy.strings.add
• numpy.strings.equal
• numpy.strings.greater
• numpy.strings.greater_equal
• numpy.strings.isalnum
• numpy.strings.isalpha
• numpy.strings.isdecimal
• numpy.strings.isdigit
• numpy.strings.islower
• numpy.strings.isnumeric
• numpy.strings.isspace
• numpy.strings.istitle
• numpy.strings.isupper
• numpy.strings.less
• numpy.strings.less_equal
• numpy.strings.not_equal
• numpy.strings.str_len
• numpy.subtract
• numpy.tan
• numpy.tanh
• numpy.testing.suppress_warnings.__call__
• numpy.testing.suppress_warnings.filter
• numpy.testing.suppress_warnings.record
• numpy.true_divide
• numpy.trunc
• numpy.typing.ArrayLike
• numpy.typing.DTypeLike
• numpy.typing.NDArray
• numpy.ufunc.__call__
• numpy.ufunc.accumulate
• numpy.ufunc.at
• numpy.ufunc.outer
• numpy.ufunc.reduce
• numpy.ufunc.reduceat
• numpy.ufunc.resolve_dtypes
• numpy.vecdot
• numpy.vecmat
• numpy.vectorize.__call__
• numpy.version.full_version
• numpy.version.git_revision
• numpy.version.release
• numpy.version.short_version
• numpy.version.version
• object.__array_interface__
• object.__array_struct__

Modules

• numpy
• numpy.char
• numpy.ctypeslib
• numpy.distutils
• numpy.distutils.ccompiler
• numpy.distutils.ccompiler_opt
• numpy.distutils.exec_command
• numpy.distutils.misc_util
• numpy.dtypes
• numpy.exceptions
• numpy.f2py
• numpy.fft
• numpy.lib
• numpy.lib.array_utils
• numpy.lib.format
• numpy.lib.introspect
• numpy.lib.mixins
• numpy.lib.npyio
• numpy.lib.recfunctions
• numpy.lib.scimath
• numpy.lib.stride_tricks
• numpy.linalg
• numpy.ma
• numpy.matlib
• numpy.polynomial
• numpy.polynomial.chebyshev
• numpy.polynomial.hermite
• numpy.polynomial.hermite_e
• numpy.polynomial.laguerre
• numpy.polynomial.legendre
• numpy.polynomial.polynomial
• numpy.polynomial.polyutils
• numpy.random
• numpy.rec
• numpy.strings
• numpy.testing
• numpy.testing.overrides
• numpy.typing
• numpy.typing.mypy_plugin

Types

• NPY_AO
• NpyAuxData
• NpyAuxData_CloneFunc
• NpyAuxData_FreeFunc
• NpyIter
• NpyIter_GetMultiIndexFunc
• NpyIter_IterNextFunc
• NpyIter_Type
• PyArrayDTypeMeta_CommonDType
• PyArrayDTypeMeta_CommonInstance
• PyArrayDTypeMeta_DefaultDescriptor
• PyArrayDTypeMeta_DiscoverDescrFromPyobject
• PyArrayDTypeMeta_EnsureCanonical
• PyArrayDTypeMeta_FinalizeDescriptor
• PyArrayDTypeMeta_GetItem
• PyArrayDTypeMeta_SetItem
• PyArrayDTypeMeta_Spec
• PyArrayInterface
• PyArrayIterObject
• PyArrayMapIterObject
• PyArrayMethodObject_tag
• PyArrayMethod_Context
• PyArrayMethod_GetLoop
• PyArrayMethod_GetReductionInitial
• PyArrayMethod_GetTraverseLoop
• PyArrayMethod_PromoterFunction
• PyArrayMethod_ResolveDescriptors
• PyArrayMethod_Spec
• PyArrayMethod_StridedLoop
• PyArrayMethod_TranslateGivenDescriptors
• PyArrayMethod_TranslateLoopDescriptors
• PyArrayMethod_TraverseLoop
• PyArrayMultiIterObject
• PyArrayNeighborhoodIterObject
• PyArrayObject
• PyArray_ArrFuncs
• PyArray_Chunk
• PyArray_DTypeMeta
• PyArray_DatetimeMetaData
• PyArray_Descr
• PyArray_Descr.npy_hash_t
• PyArray_DescrProto
• PyArray_Dims
• PyArray_RegisterCastFunc.PyArray_VectorUnaryFunc
• PyArray_StringDTypeObject
• PyDataMem_Handler
• PyDataType_SUBARRAY.PyArray_ArrayDescr
• PyUFuncGenericFunction
• PyUFuncObject
• PyUFuncObject.type_resolver.PyUFunc_TypeResolutionFunc
• PyUFunc_Loop1d
• PyUFunc_On_Om.PyUFunc_PyFuncData
• binomial_t
• bitgen_t
• npy_bool
• npy_byte
• npy_cdouble
• npy_cfloat
• npy_clongdouble
• npy_datetime
• npy_datetimestruct
• npy_double
• npy_float
• npy_half
• npy_int
• npy_int16
• npy_int32
• npy_int64
• npy_intp
• npy_long
• npy_longdouble
• npy_longlong
• npy_packed_static_string
• npy_short
• npy_static_string
• npy_string_allocator
• npy_timedelta
• npy_ubyte
• npy_uint
• npy_uint16
• npy_uint32
• npy_uint64
• npy_uintp
• npy_ulong
• npy_ulonglong
• npy_ushort