arr=np.array([5,2,8,1,9,3,7])min_index=np.argmin(arr)print("numpyarray.com: Index of minimum value:",min_index) Python Copy Output: np.argmin()返回数组中最小值的索引。 5.2 使用numpy.argmax() importnumpyasnp arr=np.array([
np.prodnp.nanprodCompute product of elements np.meannp.nanmeanCompute mean of elements np.stdnp.nanstdCompute standard deviation np.varnp.nanvarCompute variance np.minnp.nanminFind minimum value np.maxnp.nanmaxFind maximum value np.argminnp.nanargminFind index of minimum value np.argmaxnp.nan...
np.minnp.nanmin Find minimum value np.maxnp.nanmax Find maximum value np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elem...
all,any,apply_along_axis,argmax,argmin,argsort,average,bincount,ceil,clip,conj,corrcoef,cov,cross,cumprod,cumsum,diff,dot,floor,inner,invert,lexsort,max,maximum,mean,median,min,minimum,nonzero,outer,prod,re,round,sort,std,sum,trace,transpose,var,vdot,vectorize,where 索引、切片和迭代 一维数组可...
maximum和minimum不再发出警告 Umath 和 multiarray c-extension 模块合并为单一模块 getfield有效性检查扩展 NumPy 函数现在支持__array_function__重载 基于只读缓冲区的数组不可设置writeable 1.15.4 兼容性说明 贡献者 合并的 Pull 请求 1.15.3 兼容性说明 贡献者 合并的 Pull 请求 1.15.2 ...
# import libraryimportnumpyasnp# create a numpy 1d-arrayarray=np.array([1,2,3,0,-1,-2])# find index of max element# in an arraymax_ele_index=np.argmax(array)# find max element in an arraymax_ele=array[max_ele_index]# find index of min element# in an arraymin_ele_ind...
[-0.28790332, -0.96139749, -0.75098725, 0.14987721]]) >>> # index of the maxima for each series >>> ind = data.argmax(axis=0) >>> ind array([2, 0, 3, 1]) >>> # times corresponding to the maxima >>> time_max = time[ind] >>> >>> data_max = data[ind, range(data....
numpy.argmin(a[, axis=None, out=None])Returns the indices of the minimum values along an axis. x = np.random.rand(5, 5) * 10 x = np.around(x, 2) print(x) [[9.41 2.61 7.99 6.16 7.66] [9.72 2.25 5.94 7.64 0.71] [7.98 7.66 0.93 1.27 6.04] [9.64 3.52 6.69 2.85 6.47] [2....
of 0 up to n.The second vector contains the cubes of 0 up to n.The program prints the last 2 elements of the sum and the elapsed time."""def numpysum(n):a = np.arange(n) ** 2b = np.arange(n) ** 3c = a + breturn cdef pythonsum(n):a = range(n)b = range(n)c = ...
np.minimum(arr1,arr2) # matrix([[1, 5, 1, 9]]) #greater>,greater_equal>= 得到一个布尔值矩阵或者数组 np.greater(arr1,arr2) # matrix([[False, True, True, False]]) # 逻辑与logical_and,或logical_or,非logical_xor d = np.mat('2 0;1 0') ...