np.argmax()返回数组中最大值的索引。 6. 查找满足条件的第一个值的索引 有时我们只需要找到满足条件的第一个值的索引。 importnumpyasnp arr=np.array([1,2,3,4,5,3,7,8,9])first_index=np.where(arr==3)[0][0]print("numpyarray.com: First index of value 3:",first_index) Python Copy ...
np.maxnp.nanmaxFindmaximumvalue np.argminnp.nanargminFindindexofminimumvalue找到最小数的下标 np.argmaxnp.nanargmaxFindindexofmaximumvalue找到最大数的下标 np.mediannp.nanmedianComputemedianofelements np.percentilenp.nanpercentileComputerank-basedstatisticsofelements np.anyN/AEvaluatewhetheranyelementsaret...
>>> data_max = data[ind, range(data.shape[1])] # => data[ind[0],0], data[ind[1],1]... >>> >>> time_max array([ 82.5 , 20. , 113.75, 51.25]) >>> data_max array([ 0.98935825, 0.84147098, 0.99060736, 0.6569866 ]) >>> >>> np.all(data_max == data.max(axis=0))...
y = np.argmax(x) print(y)# 2 y = np.argmax(x, axis=0) print(y) # [4 0 0 1 2] y = np.argmax(x, axis=1) print(y) # [2 3 4 0 0] numpy.argmin(a[, axis=None, out=None]) Returns the indices of the minimum values along an axis. 【例】 importnumpyasnp np.rand...
np.max np.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 elements ...
# a平坦化之后的数组中下标为max_pos的元素 a.ravel()[max_pos] #等于np.max(a) 当使用axis参数时,可以沿着指定轴计算最大值的下标: idx = np.argmax(a, axis=l) 6.3.5)unravel_index()将一维数组的下标转换为多维数组的下标,它的第一个参数为一 维数组的下标,第二个参数是多维数组的形状 idx = ...
np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance 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 elements np.any N/A Evaluate whether any elements are true np.all N/A Evaluate whether all elements are true ...
How to find the index of an array within an array. Finding the index of an item given a list containing it in Python none of them have answered my question v = np.random.randn(10) print(v) maximum = np.max(v) minimum = np.min(v) print(maximum, minimum) v.index(maximum, minimum...
index从0开始计算 对于二维数组,如果只指定一个索引,则输出一整行 矩阵中最值的索引 np.argmin(A) np.argmax(A) 1. 2. 矩阵中非零元素的坐标 np.nonzero(A) 1. 输出结果为两个array,第一个array代表元素的行索引,第二个array代表元素的列索引 ...