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.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 C...
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.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 ...
arr=np.array([1,2,3,4,5,6,7,8])max_value=np.amax(arr)print(max_value) Python Copy Output: 示例代码8:查找数组中的最小值 importnumpyasnp arr=np.array([1,2,3,4,5,6,7,8])min_value=np.amin(arr)print(min_value) Python ...
import numpy as np def find_min_dtype(max_int): dtypes = [np.int8, np.int16, np.int32, np.int64] min_dtype = None for dtype in dtypes: max_value = np.iinfo(dtype).max if max_value >= max_int: min_dtype = dtype break return min_dtype max_int = 9223372036854775807...
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 ...
max) print(np.finfo(dtype).eps) 49. How to print all the values of an array? (★★☆) 如何打印数组中所有值 np.set_printoptions(threshold=np.nan) Z = np.zeros((16,16)) print(Z) 50. How to find the closest value (to a given scalar) in a vector? (★★☆) 如何在数组中找到...