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(...
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 ...
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 median of elements np.percentile np.nanpercentile...
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 ...
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 ...
将满足条件的项目替换为 Numpy 数组中的另一个值 将所有大于 30 的元素替换为 0 将大于 30 小于 50 的所有元素替换为 0 给所有大于 40 的元素加 5 用Nan 替换数组中大于 25 的所有元素 将数组中大于 25 的所有元素替换为 1,否则为 0 对NumPy 数组中的所有元素求和 创建3D NumPy 零数组 计算NumPy 数组...
13. Create a 10x10 array with random values and find the minimum and maximum values >>Z = np.random.random((10,10)) Zmin, Zmax = Z.min(), Z.max() print(Zmin, Zmax) 14. Create a random vector of size 30 and find the mean value ...
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 = (...
You can specify on which axis you want the aggregation function to be computed. For example, you can find the minimum value within each column by specifyingaxis=0. >>> a.min(axis=0) array([0.12697628, 0.05093587, 0.26590556, 0.5510652 ]) ...
Find indices where elements of v should be inserted in a to maintain order. setfield(val, dtype[, offset]) Put a value into a specified place in a field defined by a data-type. setflags([write, align, uic]) Set array flags WRITEABLE, ALIGNED, (WRITEBACKIFCOPY and UPDATEIFCOPY), re...