NumPy 1.26 中文文档翻译完成
- 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.ndarraynumpy.ndarray.flagsnumpy.ndarray.shapenumpy.ndarray.stridesnumpy.ndarray.ndimnumpy.ndarray.datanumpy.ndarray.sizenumpy.ndarray.itemsizenumpy.ndarray.nbytesnumpy.ndarray.basenumpy.ndarray.dtypenumpy.ndarray.Tnumpy.ndarray.realnumpy.ndarray.imagnumpy.ndarray.flatnumpy.ndarray.ctypesnumpy.ndarray.itemnumpy.ndarray.tolistnumpy.ndarray.itemsetnumpy.ndarray.tostringnumpy.ndarray.tobytesnumpy.ndarray.tofilenumpy.ndarray.dumpnumpy.ndarray.dumpsnumpy.ndarray.astypenumpy.ndarray.byteswapnumpy.ndarray.copynumpy.ndarray.viewnumpy.ndarray.getfieldnumpy.ndarray.setflagsnumpy.ndarray.fillnumpy.ndarray.reshapenumpy.ndarray.resizenumpy.ndarray.transposenumpy.ndarray.swapaxesnumpy.ndarray.flattennumpy.ndarray.ravelnumpy.ndarray.squeezenumpy.ndarray.takenumpy.ndarray.putnumpy.ndarray.repeatnumpy.ndarray.choosenumpy.ndarray.sortnumpy.ndarray.argsortnumpy.ndarray.partitionnumpy.ndarray.argpartitionnumpy.ndarray.searchsortednumpy.ndarray.nonzeronumpy.ndarray.compressnumpy.ndarray.diagonalnumpy.ndarray.maxnumpy.ndarray.argmaxnumpy.ndarray.minnumpy.ndarray.argminnumpy.ndarray.ptpnumpy.ndarray.clipnumpy.ndarray.conjnumpy.ndarray.roundnumpy.ndarray.tracenumpy.ndarray.sumnumpy.ndarray.cumsumnumpy.ndarray.meannumpy.ndarray.varnumpy.ndarray.stdnumpy.ndarray.prodnumpy.ndarray.cumprodnumpy.ndarray.allnumpy.ndarray.anynumpy.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.flagsnumpy.generic.shapenumpy.generic.stridesnumpy.generic.ndimnumpy.generic.datanumpy.generic.sizenumpy.generic.itemsizenumpy.generic.basenumpy.generic.dtypenumpy.generic.realnumpy.generic.imagnumpy.generic.flatnumpy.generic.Tnumpy.generic.__array_interface__numpy.generic.__array_struct__numpy.generic.__array_priority__numpy.generic.__array_wrap__numpy.generic.__array__numpy.generic.__array_wrap__numpy.generic.squeezenumpy.generic.byteswapnumpy.generic.__reduce__numpy.generic.__setstate__numpy.generic.setflagsnumpy.number.__class_getitem__- 数据类型对象（
dtype） numpy.dtypenumpy.dtype.typenumpy.dtype.kindnumpy.dtype.charnumpy.dtype.numnumpy.dtype.strnumpy.dtype.namenumpy.dtype.itemsizenumpy.dtype.byteordernumpy.dtype.fieldsnumpy.dtype.namesnumpy.dtype.subdtypenumpy.dtype.shapenumpy.dtype.hasobjectnumpy.dtype.flagsnumpy.dtype.isbuiltinnumpy.dtype.isnativenumpy.dtype.descrnumpy.dtype.alignmentnumpy.dtype.basenumpy.dtype.metadatanumpy.dtype.newbyteordernumpy.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.nonzeronumpy.wherenumpy.indicesnumpy.ix_numpy.ogridnumpy.ravel_multi_indexnumpy.unravel_indexnumpy.diag_indicesnumpy.diag_indices_fromnumpy.mask_indicesnumpy.tril_indicesnumpy.tril_indices_fromnumpy.triu_indicesnumpy.triu_indices_fromnumpy.takenumpy.take_along_axisnumpy.choosenumpy.compressnumpy.diagnumpy.diagonalnumpy.selectnumpy.lib.stride_tricks.sliding_window_viewnumpy.lib.stride_tricks.as_stridednumpy.placenumpy.putnumpy.put_along_axisnumpy.putmasknumpy.fill_diagonalnumpy.nditernumpy.ndenumeratenumpy.ndindexnumpy.nested_itersnumpy.flatiternumpy.lib.Arrayteratornumpy.iterable- 遍历数组
- 标准数组子类
numpy.matrix.Tnumpy.matrix.Hnumpy.matrix.Inumpy.matrix.Anumpy.matrixnumpy.asmatrixnumpy.bmatnumpy.memmapnumpy.memmap.flushnumpy.chararraynumpy.core.defchararray.arraynumpy.recarraynumpy.recordnumpy.lib.user_array.containernumpy.ndarray.flatnumpy.ndenumeratenumpy.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.ufuncnumpy.ufunc.ninnumpy.ufunc.noutnumpy.ufunc.nargsnumpy.ufunc.ntypesnumpy.ufunc.typesnumpy.ufunc.identitynumpy.ufunc.signaturenumpy.ufunc.reducenumpy.ufunc.accumulatenumpy.ufunc.reduceatnumpy.ufunc.outernumpy.ufunc.at- 例程
- 数组创建例程
numpy.emptynumpy.empty_likenumpy.eyenumpy.identitynumpy.onesnumpy.ones_likenumpy.zerosnumpy.zeros_likenumpy.fullnumpy.full_likenumpy.arraynumpy.asarraynumpy.asanyarraynumpy.ascontiguousarraynumpy.asmatrixnumpy.copynumpy.frombuffernumpy.from_dlpacknumpy.fromfilenumpy.fromfunctionnumpy.fromiternumpy.fromstringnumpy.loadtxtnumpy.core.records.arraynumpy.core.records.fromarraysnumpy.core.records.fromrecordsnumpy.core.records.fromstringnumpy.core.records.fromfilenumpy.core.defchararray.arraynumpy.core.defchararray.asarraynumpy.arangenumpy.linspacenumpy.logspacenumpy.geomspacenumpy.meshgridnumpy.mgridnumpy.ogridnumpy.diagnumpy.diagflatnumpy.trinumpy.trilnumpy.triunumpy.vandernumpy.matnumpy.bmat- 数组操作程序
numpy.copytonumpy.shapenumpy.reshapenumpy.ravelnumpy.ndarray.flatnumpy.ndarray.flattennumpy.moveaxisnumpy.rollaxisnumpy.swapaxesnumpy.ndarray.Tnumpy.transposenumpy.atleast_1dnumpy.atleast_2dnumpy.atleast_3dnumpy.broadcastnumpy.broadcast_tonumpy.broadcast_arraysnumpy.expand_dimsnumpy.squeezenumpy.asarraynumpy.asanyarraynumpy.asmatrixnumpy.asfarraynumpy.asfortranarraynumpy.ascontiguousarraynumpy.asarray_chkfinitenumpy.requirenumpy.concatenatenumpy.stacknumpy.blocknumpy.vstacknumpy.hstacknumpy.dstacknumpy.column_stacknumpy.row_stacknumpy.splitnumpy.array_splitnumpy.dsplitnumpy.hsplitnumpy.vsplitnumpy.tilenumpy.repeatnumpy.deletenumpy.insertnumpy.appendnumpy.resizenumpy.trim_zerosnumpy.uniquenumpy.flipnumpy.fliplrnumpy.flipudnumpy.reshapenumpy.rollnumpy.rot90- 二进制操作
numpy.bitwise_andnumpy.bitwise_ornumpy.bitwise_xornumpy.invertnumpy.left_shiftnumpy.right_shiftnumpy.packbitsnumpy.unpackbitsnumpy.binary_repr- 字符串操作
numpy.char.addnumpy.char.multiplynumpy.char.modnumpy.char.capitalizenumpy.char.centernumpy.char.decodenumpy.char.encodenumpy.char.expandtabsnumpy.char.joinnumpy.char.ljustnumpy.char.lowernumpy.char.lstripnumpy.char.partitionnumpy.char.replacenumpy.char.rjustnumpy.char.rpartitionnumpy.char.rsplitnumpy.char.rstripnumpy.char.splitnumpy.char.splitlinesnumpy.char.stripnumpy.char.swapcasenumpy.char.titlenumpy.char.translatenumpy.char.uppernumpy.char.zfillnumpy.char.equalnumpy.char.not_equalnumpy.char.greater_equalnumpy.char.less_equalnumpy.char.greaternumpy.char.lessnumpy.char.compare_chararraysnumpy.char.countnumpy.char.endswithnumpy.char.findnumpy.char.indexnumpy.char.isalphanumpy.char.isalnumnumpy.char.isdecimalnumpy.char.isdigitnumpy.char.islowernumpy.char.isnumericnumpy.char.isspacenumpy.char.istitlenumpy.char.isuppernumpy.char.rfindnumpy.char.rindexnumpy.char.startswithnumpy.char.str_lennumpy.char.arraynumpy.char.asarraynumpy.char.chararray- C 类型外部函数接口（numpy.ctypeslib）
- 日期时间支持函数
numpy.datetime_as_stringnumpy.datetime_datanumpy.busdaycalendarnumpy.is_busdaynumpy.busday_offsetnumpy.busday_count- 数据类型例程
numpy.can_castnumpy.promote_typesnumpy.min_scalar_typenumpy.result_typenumpy.common_typenumpy.obj2sctype- numpy 数据类型
numpy.format_parsernumpy.finfonumpy.iinfonumpy.issctypenumpy.issubdtypenumpy.issubsctypenumpy.issubclass_numpy.find_common_typenumpy.typenamenumpy.sctype2charnumpy.mintypecodenumpy.maximum_sctype- 具有自动定义域的数学函数
numpy.emath.sqrtnumpy.emath.lognumpy.emath.log2numpy.emath.lognnumpy.emath.log10numpy.emath.powernumpy.emath.arccosnumpy.emath.arcsinnumpy.emath.arctanh- 浮点错误处理
numpy.seterrnumpy.geterrnumpy.seterrcallnumpy.geterrcallnumpy.errstatenumpy.seterrobj- 离散傅里叶变换（
numpy.fft） numpy.fft.fftnumpy.fft.ifftnumpy.fft.fft2numpy.fft.ifft2numpy.fft.fftnnumpy.fft.ifftnnumpy.fft.rfftnumpy.fft.irfftnumpy.fft.rfft2numpy.fft.irfft2numpy.fft.rfftnnumpy.fft.irfftnnumpy.fft.hfftnumpy.fft.ihfftnumpy.fft.fftfreqnumpy.fft.rfftfreqnumpy.fft.fftshiftnumpy.fft.ifftshift- 函数式编程
numpy.apply_along_axisnumpy.apply_over_axesnumpy.vectorizenumpy.frompyfuncnumpy.piecewise- NumPy 特定的帮助函数
numpy.lookfornumpy.infonumpy.source- 输入和输出
numpy.loadnumpy.savenumpy.saveznumpy.savez_compressednumpy.loadtxtnumpy.savetxtnumpy.genfromtxtnumpy.fromregexnumpy.fromstringnumpy.ndarray.tofilenumpy.ndarray.tolistnumpy.array2stringnumpy.array_reprnumpy.array_strnumpy.format_float_positionalnumpy.memmapnumpy.lib.format.open_memmapnumpy.set_printoptionsnumpy.get_printoptionsnumpy.set_string_functionnumpy.printoptionsnumpy.binary_reprnumpy.base_reprnumpy.DataSourcenumpy.lib.format- 线性代数（
numpy.linalg） numpy.dotnumpy.linalg.multi_dotnumpy.vdotnumpy.innernumpy.outernumpy.matmulnumpy.tensordotnumpy.einsumnumpy.einsum_pathnumpy.linalg.matrix_powernumpy.kronnumpy.linalg.choleskynumpy.linalg.qrnumpy.linalg.svdnumpy.linalg.eignumpy.linalg.eighnumpy.linalg.eigvalsnumpy.linalg.eigvalshnumpy.linalg.normnumpy.linalg.condnumpy.linalg.detnumpy.linalg.matrix_ranknumpy.linalg.slogdetnumpy.tracenumpy.linalg.solvenumpy.linalg.tensorsolvenumpy.linalg.lstsqnumpy.linalg.invnumpy.linalg.pinvnumpy.linalg.tensorinvnumpy.linalg.LinAlgError- 逻辑函数
numpy.allnumpy.anynumpy.isfinitenumpy.isinfnumpy.isnannumpy.isnatnumpy.isneginfnumpy.isposinfnumpy.iscomplexnumpy.iscomplexobjnumpy.isfortrannumpy.isrealnumpy.isrealobjnumpy.isscalarnumpy.logical_andnumpy.logical_ornumpy.logical_notnumpy.logical_xornumpy.allclosenumpy.isclosenumpy.array_equalnumpy.array_equivnumpy.greaternumpy.greater_equalnumpy.lessnumpy.less_equalnumpy.equalnumpy.not_equal- 屏蔽数组操作
numpy.ma.MaskTypenumpy.ma.masked_arraynumpy.ma.arraynumpy.ma.copynumpy.ma.frombuffernumpy.ma.fromfunctionnumpy.ma.MaskedArray.copynumpy.ma.diagflatnumpy.ma.emptynumpy.ma.empty_likenumpy.ma.masked_allnumpy.ma.masked_all_likenumpy.ma.onesnumpy.ma.ones_likenumpy.ma.zerosnumpy.ma.zeros_likenumpy.ma.allnumpy.ma.anynumpy.ma.countnumpy.ma.count_maskednumpy.ma.getmasknumpy.ma.getmaskarraynumpy.ma.getdatanumpy.ma.nonzeronumpy.ma.shapenumpy.ma.sizenumpy.ma.is_maskednumpy.ma.is_masknumpy.ma.isMaskedArraynumpy.ma.isMAnumpy.ma.isarraynumpy.ma.isinnumpy.ma.in1dnumpy.ma.uniquenumpy.ma.MaskedArray.allnumpy.ma.MaskedArray.anynumpy.ma.MaskedArray.countnumpy.ma.MaskedArray.nonzeronumpy.ma.shapenumpy.ma.sizenumpy.ma.ravelnumpy.ma.reshapenumpy.ma.resizenumpy.ma.MaskedArray.flattennumpy.ma.MaskedArray.ravelnumpy.ma.MaskedArray.reshapenumpy.ma.MaskedArray.resizenumpy.ma.swapaxesnumpy.ma.transposenumpy.ma.MaskedArray.swapaxesnumpy.ma.MaskedArray.transposenumpy.ma.atleast_1dnumpy.ma.atleast_2dnumpy.ma.atleast_3dnumpy.ma.expand_dimsnumpy.ma.squeezenumpy.ma.MaskedArray.squeezenumpy.ma.stacknumpy.ma.column_stacknumpy.ma.concatenatenumpy.ma.dstacknumpy.ma.hstacknumpy.ma.hsplitnumpy.ma.mr_numpy.ma.row_stacknumpy.ma.vstacknumpy.ma.concatenatenumpy.ma.stacknumpy.ma.vstacknumpy.ma.hstacknumpy.ma.dstacknumpy.ma.column_stacknumpy.ma.appendnumpy.ma.make_masknumpy.ma.make_mask_nonenumpy.ma.mask_ornumpy.ma.make_mask_descrnumpy.ma.getmasknumpy.ma.getmaskarraynumpy.ma.masked_array.masknumpy.ma.ndenumeratenumpy.ma.flatnotmasked_contiguousnumpy.ma.flatnotmasked_edgesnumpy.ma.notmasked_contiguousnumpy.ma.notmasked_edgesnumpy.ma.clump_maskednumpy.ma.clump_unmaskednumpy.ma.mask_colsnumpy.ma.mask_ornumpy.ma.mask_rowcolsnumpy.ma.mask_rowsnumpy.ma.harden_masknumpy.ma.soften_masknumpy.ma.MaskedArray.harden_masknumpy.ma.MaskedArray.soften_masknumpy.ma.MaskedArray.shrink_masknumpy.ma.MaskedArray.unshare_masknumpy.ma.asarraynumpy.ma.asanyarraynumpy.ma.fix_invalidnumpy.ma.masked_equalnumpy.ma.masked_greaternumpy.ma.masked_greater_equalnumpy.ma.masked_insidenumpy.ma.masked_invalidnumpy.ma.masked_lessnumpy.ma.masked_less_equalnumpy.ma.masked_not_equalnumpy.ma.masked_objectnumpy.ma.masked_outsidenumpy.ma.masked_valuesnumpy.ma.masked_wherenumpy.ma.compress_colsnumpy.ma.compress_rowcolsnumpy.ma.compress_rowsnumpy.ma.compressednumpy.ma.fillednumpy.ma.MaskedArray.compressednumpy.ma.MaskedArray.fillednumpy.ma.MaskedArray.tofilenumpy.ma.MaskedArray.tolistnumpy.ma.MaskedArray.torecordsnumpy.ma.MaskedArray.tobytesnumpy.ma.common_fill_valuenumpy.ma.default_fill_valuenumpy.ma.maximum_fill_valuenumpy.ma.minimum_fill_valuenumpy.ma.set_fill_valuenumpy.ma.MaskedArray.get_fill_valuenumpy.ma.MaskedArray.set_fill_valuenumpy.ma.anomnumpy.ma.anomaliesnumpy.ma.averagenumpy.ma.conjugatenumpy.ma.corrcoefnumpy.ma.covnumpy.ma.cumsumnumpy.ma.cumprodnumpy.ma.meannumpy.ma.mediannumpy.ma.powernumpy.ma.prodnumpy.ma.stdnumpy.ma.sumnumpy.ma.varnumpy.ma.MaskedArray.anomnumpy.ma.MaskedArray.cumprodnumpy.ma.MaskedArray.cumsumnumpy.ma.MaskedArray.meannumpy.ma.MaskedArray.prodnumpy.ma.MaskedArray.stdnumpy.ma.MaskedArray.sumnumpy.ma.MaskedArray.varnumpy.ma.argmaxnumpy.ma.argminnumpy.ma.maxnumpy.ma.minnumpy.ma.ptpnumpy.ma.diffnumpy.ma.MaskedArray.argmaxnumpy.ma.MaskedArray.argminnumpy.ma.MaskedArray.maxnumpy.ma.MaskedArray.minnumpy.ma.MaskedArray.ptpnumpy.ma.argsortnumpy.ma.sortnumpy.ma.MaskedArray.argsortnumpy.ma.MaskedArray.sortnumpy.ma.diagnumpy.ma.dotnumpy.ma.identitynumpy.ma.innernumpy.ma.innerproductnumpy.ma.outernumpy.ma.outerproductnumpy.ma.tracenumpy.ma.transposenumpy.ma.MaskedArray.tracenumpy.ma.MaskedArray.transposenumpy.ma.vandernumpy.ma.polyfitnumpy.ma.aroundnumpy.ma.clipnumpy.ma.roundnumpy.ma.MaskedArray.clipnumpy.ma.MaskedArray.roundnumpy.ma.intersect1dnumpy.ma.setdiff1dnumpy.ma.setxor1dnumpy.ma.union1dnumpy.ma.allequalnumpy.ma.allclosenumpy.ma.apply_along_axisnumpy.ma.apply_over_axesnumpy.ma.arangenumpy.ma.choosenumpy.ma.ediff1dnumpy.ma.indicesnumpy.ma.where- 数学函数
numpy.sinnumpy.cosnumpy.tannumpy.arcsinnumpy.arccosnumpy.arctannumpy.hypotnumpy.arctan2numpy.degreesnumpy.radiansnumpy.unwrapnumpy.deg2radnumpy.rad2degnumpy.sinhnumpy.coshnumpy.tanhnumpy.arcsinhnumpy.arccoshnumpy.arctanhnumpy.roundnumpy.aroundnumpy.rintnumpy.fixnumpy.floornumpy.ceilnumpy.truncnumpy.prodnumpy.sumnumpy.nanprodnumpy.nansumnumpy.cumprodnumpy.cumsumnumpy.nancumprodnumpy.nancumsumnumpy.diffnumpy.ediff1dnumpy.gradientnumpy.crossnumpy.trapznumpy.expnumpy.expm1numpy.exp2numpy.lognumpy.log10numpy.log2numpy.log1pnumpy.logaddexpnumpy.logaddexp2numpy.i0numpy.sincnumpy.signbitnumpy.copysignnumpy.frexpnumpy.ldexpnumpy.nextafternumpy.spacingnumpy.lcmnumpy.gcdnumpy.addnumpy.reciprocalnumpy.positivenumpy.negativenumpy.multiplynumpy.dividenumpy.powernumpy.subtractnumpy.true_dividenumpy.floor_dividenumpy.float_powernumpy.fmodnumpy.modnumpy.modfnumpy.remaindernumpy.divmodnumpy.anglenumpy.realnumpy.imagnumpy.conjnumpy.conjugatenumpy.maximumnumpy.maxnumpy.amaxnumpy.fmaxnumpy.nanmaxnumpy.minimumnumpy.minnumpy.aminnumpy.fminnumpy.nanminnumpy.convolvenumpy.clipnumpy.sqrtnumpy.cbrtnumpy.squarenumpy.absolutenumpy.fabsnumpy.signnumpy.heavisidenumpy.nan_to_numnumpy.real_if_closenumpy.interp- 矩阵库（numpy.matlib）
numpy.matlib.emptynumpy.matlib.zerosnumpy.matlib.onesnumpy.matlib.eyenumpy.matlib.identitynumpy.matlib.repmatnumpy.matlib.randnumpy.matlib.randn- 杂项例程
numpy.setbufsizenumpy.getbufsizenumpy.shares_memorynumpy.may_share_memorynumpy.byte_boundsnumpy.lib.mixins.NDArrayOperatorsMixinnumpy.lib.NumpyVersionnumpy.get_includenumpy.show_confignumpy.show_runtimenumpy.deprecatenumpy.deprecate_with_docnumpy.broadcast_shapesnumpy.whonumpy.dispnumpy.exceptions.ComplexWarningnumpy.exceptions.VisibleDeprecationWarningnumpy.exceptions.AxisErrornumpy.exceptions.DTypePromotionErrornumpy.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.arraysetopsnumpy.uniquenumpy.in1dnumpy.intersect1dnumpy.isinnumpy.setdiff1dnumpy.setxor1dnumpy.union1d- Sorting, searching, and counting
numpy.sortnumpy.lexsortnumpy.argsortnumpy.ndarray.sortnumpy.sort_complexnumpy.partitionnumpy.argpartitionnumpy.argmaxnumpy.nanargmaxnumpy.argminnumpy.nanargminnumpy.argwherenumpy.nonzeronumpy.flatnonzeronumpy.wherenumpy.searchsortednumpy.extractnumpy.count_nonzero- 统计学
numpy.ptpnumpy.percentilenumpy.nanpercentilenumpy.quantilenumpy.nanquantilenumpy.mediannumpy.averagenumpy.meannumpy.stdnumpy.varnumpy.nanmediannumpy.nanmeannumpy.nanstdnumpy.nanvarnumpy.corrcoefnumpy.correlatenumpy.covnumpy.histogramnumpy.histogram2dnumpy.histogramddnumpy.bincountnumpy.histogram_bin_edgesnumpy.digitize- 测试支持（
numpy.testing） numpy.testing.assert_allclosenumpy.testing.assert_array_almost_equal_nulpnumpy.testing.assert_array_max_ulpnumpy.testing.assert_array_equalnumpy.testing.assert_array_lessnumpy.testing.assert_equalnumpy.testing.assert_raisesnumpy.testing.assert_raises_regexnumpy.testing.assert_warnsnumpy.testing.assert_no_warningsnumpy.testing.assert_no_gc_cyclesnumpy.testing.assert_string_equalnumpy.testing.assert_numpy.testing.assert_almost_equalnumpy.testing.assert_approx_equalnumpy.testing.assert_array_almost_equalnumpy.testing.print_assert_equalnumpy.testing.decorate_methodsnumpy.testing.clear_and_catch_warningsnumpy.testing.measurenumpy.testing.rundocsnumpy.testing.suppress_warnings- 测试准则
- 支持测试覆盖（
numpy.testing.overrides） numpy.testing.overrides.allows_array_function_overridenumpy.testing.overrides.allows_array_ufunc_overridenumpy.testing.overrides.get_overridable_numpy_ufuncsnumpy.testing.overrides.get_overridable_numpy_array_functions- 窗口函数
numpy.bartlettnumpy.blackmannumpy.hammingnumpy.hanningnumpy.kaiser- 类型（
numpy.typing） - 全局状态
- 打包（
numpy.distutils） numpy.distutils.misc_utilnumpy.distutils.ccompilernumpy.distutils.ccompiler_optnumpy.distutils.cpuinfo.cpunumpy.distutils.core.Extensionnumpy.distutils.exec_commandnumpy.distutils.log.set_verbositynumpy.distutils.system_info.get_infonumpy.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
