average, bincount, ceil, clip, conj, conjugate, corrcoef, cov, cross, cumprod, cumsum, diff, dot, floor, inner, inv, lexsort, max, maximum, mean, median, min, minimum, nonzero, outer, prod, re, round, sometrue, sort, std, sum, trace, transpose, var, vdot, vectorize, where 。
ndarray.transpose(*axes) 返回具有转置轴的数组的视图。 ndarray.swapaxes(axis1, axis2) 返回数组的axis1和axis2交换的视图。 ndarray.flatten([order]) 返回折叠为一维的数组的副本。 ndarray.ravel([order]) 返回一个扁平化的数组。 ndarray.squeeze([axis]) 从a中删除长度为一的轴。 项目选择和操作 对于带...
average, bincount, ceil, clip, conj, conjugate, corrcoef, cov, cross, cumprod, cumsum, diff, dot, floor, inner, inv, lexsort, max, maximum, mean, median, min, minimum, nonzero, outer, prod, re, round, sometrue, sort, std, sum, trace, transpose, var, vdot, vectorize, where 参见:...
average, bincount, ceil, clip, conj, conjugate, corrcoef, cov, cross, cumprod, cumsum, diff, dot, floor, inner, inv, lexsort, max, maximum, mean, median, min, minimum, nonzero, outer, prod, re, round, sometrue, sort, std, sum, trace, transpose, var, vdot, vectorize, where 参见:...
>>> c = array( [ [1,2], [3,4] ], dtype=complex )>>>c array([[1.+0.j, 2.+0.j], [3.+0.j, 4.+0.j]]) 通常,数组的元素开始都是未知的,但是它的大小已知。因此,NumPy提供了一些使用占位符创建数组的函数。这最小化了扩展数组的需要和高昂的运算代价。
average, # bincount, ceil, clip, conj, conjugate, corrcoef, cov, cross, cumprod, cumsum, # diff, dot, floor, inner, inv, lexsort, max, maximum, mean, median, min, minimum, # nonzero, outer, prod, re, round, sometrue, sort, std, sum, trace, transpose, # var, vdot, vectorize,...
bincount, ceil, clip, conj, conjugate, corrcoef, cov, cross, cumprod, cumsum, diff, dot, floor, inner, inv, lexsort, max, maximum, mean, median, min, minimum, nonzero, outer, prod, re, round, sometrue, sort, std, sum, trace, transpose, var, vdot, vectorize, where 参见:NumPy示例...
see also:all,alltrue,any,apply along axis,argmax,argmin,argsort,average,bincount,ceil,clip,conj,conjugate,corrcoef,cov,cross,cumprod,cumsum,diff,dot,floor,inner,inv,lexsort,max,maximum,mean,median,min,minimum,nonzero,outer,prod,re,round,sometrue,sort,std,sum,trace,transpose,var,vdot,vectorize...
see also:all,alltrue,any,apply along axis,argmax,argmin,argsort,average,bincount,ceil,clip,conj,conjugate,corrcoef,cov,cross,cumprod,cumsum,diff,dot,floor,inner,inv,lexsort,max,maximum,mean,median,min,minimum,nonzero,outer,prod,re,round,sometrue,sort,std,sum,trace,transpose,var,vdot,vectorize...
The eigenvalues are not necessarily ordered. The resulting array will be of complex type, unless the imaginary part is zero in which case it will be cast to a real type. Whenais real the resulting eigenvalues will be real (0 imaginary part) or occur in conjugate pairs ...