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([5,2,8,1,9,3,7])max_index=np.argmax(arr)print(...
numpy.argmin(a[, axis=None, out=None])Returns the indices of the minimum values along an axis. 【例】 import numpy as np np.random.seed(20200612) x = np.random.rand(5, 5) * 10 x = np.around(x, 2) print(x) # [[2.32 7.54 9.78 1.73 6.22] # [6.93 5.17 9.28 9.76 8.25]...
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...
np.maxnp.nanmaxFindmaximumvalue np.argminnp.nanargminFindindexofminimumvalue np.argmaxnp.nanargmaxFindindexofmaximumvalue np.mediannp.nanmedianComputemedianofelements np.percentilenp.nanpercentileComputerank-basedstatisticsofelements np.anyN/AEvaluatewhetheranyelementsaretrue np.allN/AEvaluatewhetherallel...
# 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...
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...
[-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....
更多函数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...
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 = ...