NumPy 1.26 中文文档翻译完成（1）

• 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 1.26 中文文档翻译完成（2）https://developer.aliyun.com/article/1510598