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 np.any N/A Evaluate whether ...
np.min np.nanmin Find minimum value 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 ...
arr=np.array([5,2,8,1,9,3,7])max_index=np.argmax(arr)print("numpyarray.com: Index of maximum value:",max_index) Python Copy Output: 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(...
np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance np.min np.nanmin Find minimum value 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 med...
np.argminnp.nanargminFind index of minimum value np.argmaxnp.nanargmaxFind index of maximum value np.mediannp.nanmedianCompute median of elements np.percentilenp.nanpercentileCompute rank-based statistics of elements np.anyN/AEvaluate whether any elements are true ...
0]中找到非0元素的索引 nz = np.nonzero([...a 10x10 array with random values and find the minimum and maximum values (★☆☆) 创建一个10*10的随机值数组,并找到最大最小值...(★★☆) 如何在数组中找到最接近给定值的值 Z = np.arange(100) v = np.random.uniform(0,100) index = (...
Write a NumPy program to create a 5x5 array with random values and find the index of the minimum value in each row. This NumPy program creates a 5x5 array filled with random values and then finds the index of the maximum value in each row. It iterates through each row to determine th...
max_steps : int The maximum number of steps to run the episode. render : bool Whether to render the episode during training. Returns --- reward : float The total reward on the episode. steps : float The total number of steps taken on the episode. """ # 初始化奖励列表和状态-动作对...
array([2., -1., 4.])>>> add(B, C)array([ 2., 0., 6.])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,...
Consider a set of 10 triplets describing 10 triangles (with shared vertices), find the set of unique line segments composing all the triangles (★★★)(提示: repeat, np.roll, np.sort, view, np.unique) faces = np.random.randint(0,100,(10,3)) F = np.roll(faces.repeat(2,axis=1),...