• NumPy 1.26 中文文档
• NumPy 用户指南
• 开始入门
• 什么是 NumPy？
• NumPy 快速开始
• NumPy: 绝对初学者的基础知识
• 基础与用法
• NumPy 基础知识
• MATLAB 用户的 NumPy
• NumPy 特性
• NumPy 如何操作
• 高级用法和互操作性
• 从源码编译
• 使用 NumPy C-API
• F2PY 用户指南和参考手册
• 开发人员的底层文档
• 与 NumPy 的互操作性
• 附加文件
• 术语表
• 发布说明
• NumPy 许可证
• NumPy 参考
• 数组对象
• N 维数组（ndarray）
• numpy.ndarray
• numpy.ndarray.flags
• numpy.ndarray.shape
• numpy.ndarray.strides
• numpy.ndarray.ndim
• numpy.ndarray.data
• numpy.ndarray.size
• numpy.ndarray.itemsize
• numpy.ndarray.nbytes
• numpy.ndarray.base
• numpy.ndarray.dtype
• numpy.ndarray.T
• numpy.ndarray.real
• numpy.ndarray.imag
• numpy.ndarray.flat
• numpy.ndarray.ctypes
• numpy.ndarray.item
• numpy.ndarray.tolist
• numpy.ndarray.itemset
• numpy.ndarray.tostring
• numpy.ndarray.tobytes
• numpy.ndarray.tofile
• numpy.ndarray.dump
• numpy.ndarray.dumps
• numpy.ndarray.astype
• numpy.ndarray.byteswap
• numpy.ndarray.copy
• numpy.ndarray.view
• numpy.ndarray.getfield
• numpy.ndarray.setflags
• numpy.ndarray.fill
• numpy.ndarray.reshape
• numpy.ndarray.resize
• numpy.ndarray.transpose
• numpy.ndarray.swapaxes
• numpy.ndarray.flatten
• numpy.ndarray.ravel
• numpy.ndarray.squeeze
• numpy.ndarray.take
• numpy.ndarray.put
• numpy.ndarray.repeat
• numpy.ndarray.choose
• numpy.ndarray.sort
• numpy.ndarray.argsort
• numpy.ndarray.partition
• numpy.ndarray.argpartition
• numpy.ndarray.searchsorted
• numpy.ndarray.nonzero
• numpy.ndarray.compress
• numpy.ndarray.diagonal
• numpy.ndarray.max
• numpy.ndarray.argmax
• numpy.ndarray.min
• numpy.ndarray.argmin
• numpy.ndarray.ptp
• numpy.ndarray.clip
• numpy.ndarray.conj
• numpy.ndarray.round
• numpy.ndarray.trace
• numpy.ndarray.sum
• numpy.ndarray.cumsum
• numpy.ndarray.mean
• numpy.ndarray.var
• numpy.ndarray.std
• numpy.ndarray.prod
• numpy.ndarray.cumprod
• numpy.ndarray.all
• numpy.ndarray.any
• numpy.ndarray.__lt__
• numpy.ndarray.__le__
• numpy.ndarray.__gt__
• numpy.ndarray.__ge__
• numpy.ndarray.__eq__
• numpy.ndarray.__ne__
• numpy.ndarray.__bool__
• numpy.ndarray.__neg__
• numpy.ndarray.__pos__
• numpy.ndarray.__abs__
• numpy.ndarray.__invert__
• numpy.ndarray.__add__
• numpy.ndarray.__sub__
• numpy.ndarray.__mul__
• numpy.ndarray.__truediv__
• numpy.ndarray.__floordiv__
• numpy.ndarray.__mod__
• numpy.ndarray.__divmod__
• numpy.ndarray.__pow__
• numpy.ndarray.__lshift__
• numpy.ndarray.__rshift__
• numpy.ndarray.__and__
• numpy.ndarray.__or__
• numpy.ndarray.__xor__
• numpy.ndarray.__iadd__
• numpy.ndarray.__isub__
• numpy.ndarray.__imul__
• numpy.ndarray.__itruediv__
• numpy.ndarray.__ifloordiv__
• numpy.ndarray.__imod__
• numpy.ndarray.__ipow__
• numpy.ndarray.__ilshift__
• numpy.ndarray.__irshift__
• numpy.ndarray.__iand__
• numpy.ndarray.__ior__
• numpy.ndarray.__ixor__
• numpy.ndarray.__matmul__
• numpy.ndarray.__copy__
• numpy.ndarray.__deepcopy__
• numpy.ndarray.__reduce__
• numpy.ndarray.__setstate__
• numpy.ndarray.__new__
• numpy.ndarray.__array__
• numpy.ndarray.__array_wrap__
• numpy.ndarray.__len__
• numpy.ndarray.__getitem__
• numpy.ndarray.__setitem__
• numpy.ndarray.__contains__
• numpy.ndarray.__int__
• numpy.ndarray.__float__
• numpy.ndarray.__complex__
• numpy.ndarray.__str__
• numpy.ndarray.__repr__
• numpy.ndarray.__class_getitem__
• 标量
• numpy.generic.flags
• numpy.generic.shape
• numpy.generic.strides
• numpy.generic.ndim
• numpy.generic.data
• numpy.generic.size
• numpy.generic.itemsize
• numpy.generic.base
• numpy.generic.dtype
• numpy.generic.real
• numpy.generic.imag
• numpy.generic.flat
• numpy.generic.T
• numpy.generic.__array_interface__
• numpy.generic.__array_struct__
• numpy.generic.__array_priority__
• numpy.generic.__array_wrap__
• numpy.generic.__array__
• numpy.generic.__array_wrap__
• numpy.generic.squeeze
• numpy.generic.byteswap
• numpy.generic.__reduce__
• numpy.generic.__setstate__
• numpy.generic.setflags
• numpy.number.__class_getitem__
• 数据类型对象（dtype）
• numpy.dtype
• numpy.dtype.type
• numpy.dtype.kind
• numpy.dtype.char
• numpy.dtype.num
• numpy.dtype.str
• numpy.dtype.name
• numpy.dtype.itemsize
• numpy.dtype.byteorder
• numpy.dtype.fields
• numpy.dtype.names
• numpy.dtype.subdtype
• numpy.dtype.shape
• numpy.dtype.hasobject
• numpy.dtype.flags
• numpy.dtype.isbuiltin
• numpy.dtype.isnative
• numpy.dtype.descr
• numpy.dtype.alignment
• numpy.dtype.base
• numpy.dtype.metadata
• numpy.dtype.newbyteorder
• numpy.dtype.__reduce__
• numpy.dtype.__setstate__
• numpy.dtype.__class_getitem__
• numpy.dtype.__ge__
• numpy.dtype.__gt__
• numpy.dtype.__le__
• numpy.dtype.__lt__
• 索引例程
• numpy.c_
• numpy.r_
• numpy.s_
• numpy.nonzero
• numpy.where
• numpy.indices
• numpy.ix_
• numpy.ogrid
• numpy.ravel_multi_index
• numpy.unravel_index
• numpy.diag_indices
• numpy.diag_indices_from
• numpy.mask_indices
• numpy.tril_indices
• numpy.tril_indices_from
• numpy.triu_indices
• numpy.triu_indices_from
• numpy.take
• numpy.take_along_axis
• numpy.choose
• numpy.compress
• numpy.diag
• numpy.diagonal
• numpy.select
• numpy.lib.stride_tricks.sliding_window_view
• numpy.lib.stride_tricks.as_strided
• numpy.place
• numpy.put
• numpy.put_along_axis
• numpy.putmask
• numpy.fill_diagonal
• numpy.nditer
• numpy.ndenumerate
• numpy.ndindex
• numpy.nested_iters
• numpy.flatiter
• numpy.lib.Arrayterator
• numpy.iterable
• 遍历数组
• 标准数组子类
• numpy.matrix.T
• numpy.matrix.H
• numpy.matrix.I
• numpy.matrix.A
• numpy.matrix
• numpy.asmatrix
• numpy.bmat
• numpy.memmap
• numpy.memmap.flush
• numpy.chararray
• numpy.core.defchararray.array
• numpy.recarray
• numpy.record
• numpy.lib.user_array.container
• numpy.ndarray.flat
• numpy.ndenumerate
• numpy.broadcast
• 掩码数组
• numpy.ma 模块
• numpy.ma 模块的常量
• Masked array operations
• 数组接口协议
• 日期时间和时间增量
• 数组 API 标准兼容性
• 数组 API 标准兼容性
• 常量
• 通用函数（ufunc）
• numpy.ufunc
• numpy.ufunc.nin
• numpy.ufunc.nout
• numpy.ufunc.nargs
• numpy.ufunc.ntypes
• numpy.ufunc.types
• numpy.ufunc.identity
• numpy.ufunc.signature
• numpy.ufunc.reduce
• numpy.ufunc.accumulate
• numpy.ufunc.reduceat
• numpy.ufunc.outer
• numpy.ufunc.at
• 例程
• 数组创建例程
• numpy.empty
• numpy.empty_like
• numpy.eye
• numpy.identity
• numpy.ones
• numpy.ones_like
• numpy.zeros
• numpy.zeros_like
• numpy.full
• numpy.full_like
• numpy.array
• numpy.asarray
• numpy.asanyarray
• numpy.ascontiguousarray
• numpy.asmatrix
• numpy.copy
• numpy.frombuffer
• numpy.from_dlpack
• numpy.fromfile
• numpy.fromfunction
• numpy.fromiter
• numpy.fromstring
• numpy.loadtxt
• numpy.core.records.array
• numpy.core.records.fromarrays
• numpy.core.records.fromrecords
• numpy.core.records.fromstring
• numpy.core.records.fromfile
• numpy.core.defchararray.array
• numpy.core.defchararray.asarray
• numpy.arange
• numpy.linspace
• numpy.logspace
• numpy.geomspace
• numpy.meshgrid
• numpy.mgrid
• numpy.ogrid
• numpy.diag
• numpy.diagflat
• numpy.tri
• numpy.tril
• numpy.triu
• numpy.vander
• numpy.mat
• numpy.bmat
• 数组操作程序
• numpy.copyto
• numpy.shape
• numpy.reshape
• numpy.ravel
• numpy.ndarray.flat
• numpy.ndarray.flatten
• numpy.moveaxis
• numpy.rollaxis
• numpy.swapaxes
• numpy.ndarray.T
• numpy.transpose
• numpy.atleast_1d
• numpy.atleast_2d
• numpy.atleast_3d
• numpy.broadcast
• numpy.broadcast_to
• numpy.broadcast_arrays
• numpy.expand_dims
• numpy.squeeze
• numpy.asarray
• numpy.asanyarray
• numpy.asmatrix
• numpy.asfarray
• numpy.asfortranarray
• numpy.ascontiguousarray
• numpy.asarray_chkfinite
• numpy.require
• numpy.concatenate
• numpy.stack
• numpy.block
• numpy.vstack
• numpy.hstack
• numpy.dstack
• numpy.column_stack
• numpy.row_stack
• numpy.split
• numpy.array_split
• numpy.dsplit
• numpy.hsplit
• numpy.vsplit
• numpy.tile
• numpy.repeat
• numpy.delete
• numpy.insert
• numpy.append
• numpy.resize
• numpy.trim_zeros
• numpy.unique
• numpy.flip
• numpy.fliplr
• numpy.flipud
• numpy.reshape
• numpy.roll
• numpy.rot90
• 二进制操作
• numpy.bitwise_and
• numpy.bitwise_or
• numpy.bitwise_xor
• numpy.invert
• numpy.left_shift
• numpy.right_shift
• numpy.packbits
• numpy.unpackbits
• numpy.binary_repr
• 字符串操作
• numpy.char.add
• numpy.char.multiply
• numpy.char.mod
• numpy.char.capitalize
• numpy.char.center
• numpy.char.decode
• numpy.char.encode
• numpy.char.expandtabs
• numpy.char.join
• numpy.char.ljust
• numpy.char.lower
• numpy.char.lstrip
• numpy.char.partition
• numpy.char.replace
• numpy.char.rjust
• numpy.char.rpartition
• numpy.char.rsplit
• numpy.char.rstrip
• numpy.char.split
• numpy.char.splitlines
• numpy.char.strip
• numpy.char.swapcase
• numpy.char.title
• numpy.char.translate
• numpy.char.upper
• numpy.char.zfill
• numpy.char.equal
• numpy.char.not_equal
• numpy.char.greater_equal
• numpy.char.less_equal
• numpy.char.greater
• numpy.char.less
• numpy.char.compare_chararrays
• numpy.char.count
• numpy.char.endswith
• numpy.char.find
• numpy.char.index
• numpy.char.isalpha
• numpy.char.isalnum
• numpy.char.isdecimal
• numpy.char.isdigit
• numpy.char.islower
• numpy.char.isnumeric
• numpy.char.isspace
• numpy.char.istitle
• numpy.char.isupper
• numpy.char.rfind
• numpy.char.rindex
• numpy.char.startswith
• numpy.char.str_len
• numpy.char.array
• numpy.char.asarray
• numpy.char.chararray
• C 类型外部函数接口（numpy.ctypeslib）
• 日期时间支持函数
• numpy.datetime_as_string
• numpy.datetime_data
• numpy.busdaycalendar
• numpy.is_busday
• numpy.busday_offset
• numpy.busday_count
• 数据类型例程
• numpy.can_cast
• numpy.promote_types
• numpy.min_scalar_type
• numpy.result_type
• numpy.common_type
• numpy.obj2sctype
• numpy 数据类型
• numpy.format_parser
• numpy.finfo
• numpy.iinfo
• numpy.issctype
• numpy.issubdtype
• numpy.issubsctype
• numpy.issubclass_
• numpy.find_common_type
• numpy.typename
• numpy.sctype2char
• numpy.mintypecode
• numpy.maximum_sctype
• 具有自动定义域的数学函数
• numpy.emath.sqrt
• numpy.emath.log
• numpy.emath.log2
• numpy.emath.logn
• numpy.emath.log10
• numpy.emath.power
• numpy.emath.arccos
• numpy.emath.arcsin
• numpy.emath.arctanh
• 浮点错误处理
• numpy.seterr
• numpy.geterr
• numpy.seterrcall
• numpy.geterrcall
• numpy.errstate
• numpy.seterrobj
• 离散傅里叶变换（numpy.fft）
• numpy.fft.fft
• numpy.fft.ifft
• numpy.fft.fft2
• numpy.fft.ifft2
• numpy.fft.fftn
• numpy.fft.ifftn
• numpy.fft.rfft
• numpy.fft.irfft
• numpy.fft.rfft2
• numpy.fft.irfft2
• numpy.fft.rfftn
• numpy.fft.irfftn
• numpy.fft.hfft
• numpy.fft.ihfft
• numpy.fft.fftfreq
• numpy.fft.rfftfreq
• numpy.fft.fftshift
• numpy.fft.ifftshift
• 函数式编程
• numpy.apply_along_axis
• numpy.apply_over_axes
• numpy.vectorize
• numpy.frompyfunc
• numpy.piecewise
• NumPy 特定的帮助函数
• numpy.lookfor
• numpy.info
• numpy.source
• 输入和输出
• numpy.load
• numpy.save
• numpy.savez
• numpy.savez_compressed
• numpy.loadtxt
• numpy.savetxt
• numpy.genfromtxt
• numpy.fromregex
• numpy.fromstring
• numpy.ndarray.tofile
• numpy.ndarray.tolist
• numpy.array2string
• numpy.array_repr
• numpy.array_str
• numpy.format_float_positional
• numpy.memmap
• numpy.lib.format.open_memmap
• numpy.set_printoptions
• numpy.get_printoptions
• numpy.set_string_function
• numpy.printoptions
• numpy.binary_repr
• numpy.base_repr
• numpy.DataSource
• numpy.lib.format
• 线性代数（numpy.linalg）
• numpy.dot
• numpy.linalg.multi_dot
• numpy.vdot
• numpy.inner
• numpy.outer
• numpy.matmul
• numpy.tensordot
• numpy.einsum
• numpy.einsum_path
• numpy.linalg.matrix_power
• numpy.kron
• numpy.linalg.cholesky
• numpy.linalg.qr
• numpy.linalg.svd
• numpy.linalg.eig
• numpy.linalg.eigh
• numpy.linalg.eigvals
• numpy.linalg.eigvalsh
• numpy.linalg.norm
• numpy.linalg.cond
• numpy.linalg.det
• numpy.linalg.matrix_rank
• numpy.linalg.slogdet
• numpy.trace
• numpy.linalg.solve
• numpy.linalg.tensorsolve
• numpy.linalg.lstsq
• numpy.linalg.inv
• numpy.linalg.pinv
• numpy.linalg.tensorinv
• numpy.linalg.LinAlgError
• 逻辑函数
• numpy.all
• numpy.any
• numpy.isfinite
• numpy.isinf
• numpy.isnan
• numpy.isnat
• numpy.isneginf
• numpy.isposinf
• numpy.iscomplex
• numpy.iscomplexobj
• numpy.isfortran
• numpy.isreal
• numpy.isrealobj
• numpy.isscalar
• numpy.logical_and
• numpy.logical_or
• numpy.logical_not
• numpy.logical_xor
• numpy.allclose
• numpy.isclose
• numpy.array_equal
• numpy.array_equiv
• numpy.greater
• numpy.greater_equal
• numpy.less
• numpy.less_equal
• numpy.equal
• numpy.not_equal
• 屏蔽数组操作
• numpy.ma.MaskType
• numpy.ma.masked_array
• numpy.ma.array
• numpy.ma.copy
• numpy.ma.frombuffer
• numpy.ma.fromfunction
• numpy.ma.MaskedArray.copy
• numpy.ma.diagflat
• numpy.ma.empty
• numpy.ma.empty_like
• numpy.ma.masked_all
• numpy.ma.masked_all_like
• numpy.ma.ones
• numpy.ma.ones_like
• numpy.ma.zeros
• numpy.ma.zeros_like
• numpy.ma.all
• numpy.ma.any
• numpy.ma.count
• numpy.ma.count_masked
• numpy.ma.getmask
• numpy.ma.getmaskarray
• numpy.ma.getdata
• numpy.ma.nonzero
• numpy.ma.shape
• numpy.ma.size
• numpy.ma.is_masked
• numpy.ma.is_mask
• numpy.ma.isMaskedArray
• numpy.ma.isMA
• numpy.ma.isarray
• numpy.ma.isin
• numpy.ma.in1d
• numpy.ma.unique
• numpy.ma.MaskedArray.all
• numpy.ma.MaskedArray.any
• numpy.ma.MaskedArray.count
• numpy.ma.MaskedArray.nonzero
• numpy.ma.shape
• numpy.ma.size
• numpy.ma.ravel
• numpy.ma.reshape
• numpy.ma.resize
• numpy.ma.MaskedArray.flatten
• numpy.ma.MaskedArray.ravel
• numpy.ma.MaskedArray.reshape
• numpy.ma.MaskedArray.resize
• numpy.ma.swapaxes
• numpy.ma.transpose
• numpy.ma.MaskedArray.swapaxes
• numpy.ma.MaskedArray.transpose
• numpy.ma.atleast_1d
• numpy.ma.atleast_2d
• numpy.ma.atleast_3d
• numpy.ma.expand_dims
• numpy.ma.squeeze
• numpy.ma.MaskedArray.squeeze
• numpy.ma.stack
• numpy.ma.column_stack
• numpy.ma.concatenate
• numpy.ma.dstack
• numpy.ma.hstack
• numpy.ma.hsplit
• numpy.ma.mr_
• numpy.ma.row_stack
• numpy.ma.vstack
• numpy.ma.concatenate
• numpy.ma.stack
• numpy.ma.vstack
• numpy.ma.hstack
• numpy.ma.dstack
• numpy.ma.column_stack
• numpy.ma.append
• numpy.ma.make_mask
• numpy.ma.make_mask_none
• numpy.ma.mask_or
• numpy.ma.make_mask_descr
• numpy.ma.getmask
• numpy.ma.getmaskarray
• numpy.ma.masked_array.mask
• numpy.ma.ndenumerate
• numpy.ma.flatnotmasked_contiguous
• numpy.ma.flatnotmasked_edges
• numpy.ma.notmasked_contiguous
• numpy.ma.notmasked_edges
• numpy.ma.clump_masked
• numpy.ma.clump_unmasked
• numpy.ma.mask_cols
• numpy.ma.mask_or
• numpy.ma.mask_rowcols
• numpy.ma.mask_rows
• numpy.ma.harden_mask
• numpy.ma.soften_mask
• numpy.ma.MaskedArray.harden_mask
• numpy.ma.MaskedArray.soften_mask
• numpy.ma.MaskedArray.shrink_mask
• numpy.ma.MaskedArray.unshare_mask
• numpy.ma.asarray
• numpy.ma.asanyarray
• numpy.ma.fix_invalid
• 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.compress_cols
• numpy.ma.compress_rowcols
• numpy.ma.compress_rows
• numpy.ma.compressed
• numpy.ma.filled
• numpy.ma.MaskedArray.compressed
• numpy.ma.MaskedArray.filled
• numpy.ma.MaskedArray.tofile
• numpy.ma.MaskedArray.tolist
• numpy.ma.MaskedArray.torecords
• numpy.ma.MaskedArray.tobytes
• numpy.ma.common_fill_value
• numpy.ma.default_fill_value
• numpy.ma.maximum_fill_value
• numpy.ma.minimum_fill_value
• numpy.ma.set_fill_value
• numpy.ma.MaskedArray.get_fill_value
• numpy.ma.MaskedArray.set_fill_value
• numpy.ma.anom
• numpy.ma.anomalies
• numpy.ma.average
• numpy.ma.conjugate
• numpy.ma.corrcoef
• numpy.ma.cov
• numpy.ma.cumsum
• numpy.ma.cumprod
• numpy.ma.mean
• numpy.ma.median
• numpy.ma.power
• numpy.ma.prod
• numpy.ma.std
• numpy.ma.sum
• numpy.ma.var
• numpy.ma.MaskedArray.anom
• numpy.ma.MaskedArray.cumprod
• numpy.ma.MaskedArray.cumsum
• numpy.ma.MaskedArray.mean
• numpy.ma.MaskedArray.prod
• numpy.ma.MaskedArray.std
• numpy.ma.MaskedArray.sum
• numpy.ma.MaskedArray.var
• numpy.ma.argmax
• numpy.ma.argmin
• numpy.ma.max
• numpy.ma.min
• numpy.ma.ptp
• numpy.ma.diff
• numpy.ma.MaskedArray.argmax
• numpy.ma.MaskedArray.argmin
• numpy.ma.MaskedArray.max
• numpy.ma.MaskedArray.min
• numpy.ma.MaskedArray.ptp
• numpy.ma.argsort
• numpy.ma.sort
• numpy.ma.MaskedArray.argsort
• numpy.ma.MaskedArray.sort
• numpy.ma.diag
• numpy.ma.dot
• numpy.ma.identity
• numpy.ma.inner
• numpy.ma.innerproduct
• numpy.ma.outer
• numpy.ma.outerproduct
• numpy.ma.trace
• numpy.ma.transpose
• numpy.ma.MaskedArray.trace
• numpy.ma.MaskedArray.transpose
• numpy.ma.vander
• numpy.ma.polyfit
• numpy.ma.around
• numpy.ma.clip
• numpy.ma.round
• numpy.ma.MaskedArray.clip
• numpy.ma.MaskedArray.round
• numpy.ma.intersect1d
• numpy.ma.setdiff1d
• numpy.ma.setxor1d
• numpy.ma.union1d
• numpy.ma.allequal
• numpy.ma.allclose
• numpy.ma.apply_along_axis
• numpy.ma.apply_over_axes
• numpy.ma.arange
• numpy.ma.choose
• numpy.ma.ediff1d
• numpy.ma.indices
• numpy.ma.where
• 数学函数
• numpy.sin
• numpy.cos
• numpy.tan
• numpy.arcsin
• numpy.arccos
• numpy.arctan
• numpy.hypot
• numpy.arctan2
• numpy.degrees
• numpy.radians
• numpy.unwrap
• numpy.deg2rad
• numpy.rad2deg
• numpy.sinh
• numpy.cosh
• numpy.tanh
• numpy.arcsinh
• numpy.arccosh
• numpy.arctanh
• numpy.round
• numpy.around
• numpy.rint
• numpy.fix
• numpy.floor
• numpy.ceil
• numpy.trunc
• numpy.prod
• numpy.sum
• numpy.nanprod
• numpy.nansum
• numpy.cumprod
• numpy.cumsum
• numpy.nancumprod
• numpy.nancumsum
• numpy.diff
• numpy.ediff1d
• numpy.gradient
• numpy.cross
• numpy.trapz
• numpy.exp
• numpy.expm1
• numpy.exp2
• numpy.log
• numpy.log10
• numpy.log2
• numpy.log1p
• numpy.logaddexp
• numpy.logaddexp2
• numpy.i0
• numpy.sinc
• numpy.signbit
• numpy.copysign
• numpy.frexp
• numpy.ldexp
• numpy.nextafter
• numpy.spacing
• numpy.lcm
• numpy.gcd
• numpy.add
• numpy.reciprocal
• numpy.positive
• numpy.negative
• numpy.multiply
• numpy.divide
• numpy.power
• numpy.subtract
• numpy.true_divide
• numpy.floor_divide
• numpy.float_power
• numpy.fmod
• numpy.mod
• numpy.modf
• numpy.remainder
• numpy.divmod
• numpy.angle
• numpy.real
• numpy.imag
• numpy.conj
• numpy.conjugate
• numpy.maximum
• numpy.max
• numpy.amax
• numpy.fmax
• numpy.nanmax
• numpy.minimum
• numpy.min
• numpy.amin
• numpy.fmin
• numpy.nanmin
• numpy.convolve
• numpy.clip
• numpy.sqrt
• numpy.cbrt
• numpy.square
• numpy.absolute
• numpy.fabs
• numpy.sign
• numpy.heaviside
• numpy.nan_to_num
• numpy.real_if_close
• numpy.interp
• 矩阵库（numpy.matlib）
• numpy.matlib.empty
• numpy.matlib.zeros
• numpy.matlib.ones
• numpy.matlib.eye
• numpy.matlib.identity
• numpy.matlib.repmat
• numpy.matlib.rand
• numpy.matlib.randn
• 杂项例程
• numpy.setbufsize
• numpy.getbufsize
• numpy.shares_memory
• numpy.may_share_memory
• numpy.byte_bounds
• numpy.lib.mixins.NDArrayOperatorsMixin
• numpy.lib.NumpyVersion
• numpy.get_include
• numpy.show_config
• numpy.show_runtime
• numpy.deprecate
• numpy.deprecate_with_doc
• numpy.broadcast_shapes
• numpy.who
• numpy.disp
• numpy.exceptions.ComplexWarning
• numpy.exceptions.VisibleDeprecationWarning
• numpy.exceptions.AxisError
• numpy.exceptions.DTypePromotionError
• numpy.exceptions.TooHardError
• 填充数组
• numpy.pad
• 多项式
• 使用便利类
• 幂级数（numpy.polynomial.polynomial）
• 切比雪夫级数（numpy.polynomial.chebyshev）
• 埃米特级数，“物理学家”（numpy.polynomial.hermite）
• 埃米特 E 级数，“概率学家”（numpy.polynomial.hermite_e）
• 拉盖尔级数（numpy.polynomial.laguerre）
• 勒让德级数 (numpy.polynomial.legendre)
• Polyutils
• Poly1d
• 随机抽样（numpy.random）
• 随机生成器
• 遗留随机生成
• 比特生成器
• 升级 PCG64 为 PCG64DXSM
• 兼容性政策
• 并行随机数生成
• 多线程生成
• 新功能或不同之处
• 性能
• 随机数的 C API
• 扩展
• 集合操作
• numpy.lib.arraysetops
• numpy.unique
• numpy.in1d
• numpy.intersect1d
• numpy.isin
• numpy.setdiff1d
• numpy.setxor1d
• numpy.union1d
• Sorting, searching, and counting
• numpy.sort
• numpy.lexsort
• numpy.argsort
• numpy.ndarray.sort
• numpy.sort_complex
• numpy.partition
• numpy.argpartition
• numpy.argmax
• numpy.nanargmax
• numpy.argmin
• numpy.nanargmin
• numpy.argwhere
• numpy.nonzero
• numpy.flatnonzero
• numpy.where
• numpy.searchsorted
• numpy.extract
• numpy.count_nonzero
• 统计学
• numpy.ptp
• numpy.percentile
• numpy.nanpercentile
• numpy.quantile
• numpy.nanquantile
• numpy.median
• numpy.average
• numpy.mean
• numpy.std
• numpy.var
• numpy.nanmedian
• numpy.nanmean
• numpy.nanstd
• numpy.nanvar
• numpy.corrcoef
• numpy.correlate
• numpy.cov
• numpy.histogram
• numpy.histogram2d
• numpy.histogramdd
• numpy.bincount
• numpy.histogram_bin_edges
• numpy.digitize
• 测试支持（numpy.testing）
• numpy.testing.assert_allclose
• numpy.testing.assert_array_almost_equal_nulp
• numpy.testing.assert_array_max_ulp
• numpy.testing.assert_array_equal
• numpy.testing.assert_array_less
• numpy.testing.assert_equal
• numpy.testing.assert_raises
• numpy.testing.assert_raises_regex
• numpy.testing.assert_warns
• numpy.testing.assert_no_warnings
• numpy.testing.assert_no_gc_cycles
• numpy.testing.assert_string_equal
• numpy.testing.assert_
• numpy.testing.assert_almost_equal
• numpy.testing.assert_approx_equal
• numpy.testing.assert_array_almost_equal
• numpy.testing.print_assert_equal
• numpy.testing.decorate_methods
• numpy.testing.clear_and_catch_warnings
• numpy.testing.measure
• numpy.testing.rundocs
• numpy.testing.suppress_warnings
• 测试准则
• 支持测试覆盖（numpy.testing.overrides）
• numpy.testing.overrides.allows_array_function_override
• numpy.testing.overrides.allows_array_ufunc_override
• numpy.testing.overrides.get_overridable_numpy_ufuncs
• numpy.testing.overrides.get_overridable_numpy_array_functions
• 窗口函数
• numpy.bartlett
• numpy.blackman
• numpy.hamming
• numpy.hanning
• numpy.kaiser
• 类型（numpy.typing）
• 全局状态
• 打包（numpy.distutils）
• numpy.distutils.misc_util
• numpy.distutils.ccompiler
• numpy.distutils.ccompiler_opt
• numpy.distutils.cpuinfo.cpu
• numpy.distutils.core.Extension
• numpy.distutils.exec_command
• numpy.distutils.log.set_verbosity
• numpy.distutils.system_info.get_info
• numpy.distutils.system_info.get_standard_file
• NumPy distutils - 用户指南
• numpy.distutils 的状态和迁移建议
• NumPy C-API
• Python 类型和 C 结构
• 系统配置
• 数据类型 API
• 数组 API
• 数组迭代器 API
• UFunc API
• 广义通用函数 API
• NumPy 核心库
• C API 弃用
• NumPy 中的内存管理
• CPU/SIMD 优化
• CPU 构建选项
• CPU 调度器是如何工作的？
• NumPy 安全性
• NumPy 和 SWIG
• numpy.i：NumPy 的 SWIG 接口文件
• 测试 numpy.i 类型映射
• 贡献给 NumPy
• 用于开发的 Git
• 设置和使用您的开发环境
• 构建 NumPy API 和参考文档
• 开发工作流程
• 高级调试工具
• 评审员指南
• NumPy 基准测试
• 对于下游软件包的作者
• 发布一个版本
• NumPy 治理
• 如何为 NumPy 文档做出贡献
• 发布说明
• NumPy 1.26.0 发布说明
• NumPy 1.25.2 发布说明
• NumPy 1.25.1 发布说明
• NumPy 1.25.0 发布说明
• NumPy 1.24.3 发布说明
• NumPy 1.24.2 发布说明
• NumPy 1.24.1 发布说明
• NumPy 1.24 发布说明
• NumPy 1.23.5 发布说明
• NumPy 1.23.4 发布说明
• NumPy 1.23.3 发布说明
• NumPy 1.23.2 发布说明
• NumPy 1.23.1 发布说明
• NumPy 1.23.0 版本发布说明
• NumPy 1.22.4 发布说明
• NumPy 1.22.3 发布说明
• NumPy 1.22.2 发布说明
• NumPy 1.22.1 发布说明
• NumPy 1.22.0 发布说明
• NumPy 1.21.6 发布说明
• NumPy 1.21.5 发布说明
• NumPy 1.21.4 发布说明
• NumPy 1.21.3 版本说明
• NumPy 1.21.2 版本说明
• NumPy 1.21.1 发布说明
• NumPy 1.21.0 发行说明
• NumPy 1.20.3 版本说明
• NumPy 1.20.2 发布说明
• NumPy 1.20.1 发布说明
• NumPy 1.20.0 发布说明
• NumPy 1.19.5 发布说明
• NumPy 1.19.4 发布说明
• NumPy 1.19.3 发布说明
• NumPy 1.19.2 发布说明
• NumPy 1.19.1 发布说明
• NumPy 1.19.0 发布说明
• NumPy 1.18.5 版本发布说明
• NumPy 1.18.4 Release Notes
• NumPy 1.18.3 版本说明
• NumPy 1.18.2 发行说明
• NumPy 1.18.1 发布说明
• NumPy 1.18.0 发行说明
• NumPy 1.17.5 版本发布说明
• NumPy 1.17.4 发布说明
• NumPy 1.17.3 版本发布说明
• NumPy 1.17.2 发布说明
• NumPy 1.17.1 发布说明
• NumPy 1.17.0 发布说明
• NumPy 1.16.6 发布说明
• NumPy 1.16.5 版本说明
• NumPy 1.16.4 发行说明
• NumPy 1.16.3 发行说明
• NumPy 1.16.2 发布说明
• NumPy 1.16.1 发布说明
• NumPy 1.16.0 发行说明
• NumPy 1.15.4 发行说明
• NumPy 1.15.3 版本发布说明
• NumPy 1.15.2 发布说明
• NumPy 1.15.1 发布说明
• NumPy 1.15.0 发行说明
• NumPy 1.14.6 版本说明
• NumPy 1.14.5 版本发布说明
• NumPy 1.14.4 发布说明
• NumPy 1.14.3 发布说明
• NumPy 1.14.2 发布说明
• NumPy 1.14.1 发布说明
• NumPy 1.14.0 发布说明
• NumPy 1.13.3 发布说明
• NumPy 1.13.2 版本说明
• NumPy 1.13.1 发布说明
• NumPy 1.13.0 发布说明
• NumPy 1.12.1 发布说明
• NumPy 1.12.0 版本发布说明
• NumPy 1.11.3 版本说明
• Numpy 1.11.2 发布说明
• NumPy 1.11.1 发行说明
• NumPy 1.11.0 发布说明
• NumPy 1.10.4 发布说明
• NumPy 1.10.3 发布说明
• NumPy 1.10.2 发行说明
• NumPy 1.10.1 发布说明
• NumPy 1.10.0 发布说明
• NumPy 1.9.2 发布说明
• NumPy 1.9.1 发布说明
• NumPy 1.9.0 发布说明
• NumPy 1.8.2 发布说明
• NumPy 1.8.1 发布说明
• NumPy 1.8.0 发布说明
• NumPy 1.7.2 发行说明
• NumPy 1.7.1 发布说明
• NumPy 1.7.0 发行说明
• NumPy 1.6.2 Release Notes
• NumPy 1.6.1 发布说明
• NumPy 1.6.0 发行说明
• NumPy 1.5.0 版本发布说明
• NumPy 1.4.0 发布说明
• NumPy 1.3.0 发布说明