asarray(a[, dtype, order])Convert the input to an array.asanyarray(a[, dtype, order])Convert the input to an ndarray, but pass ndarray subclasses through.asmatrix(data[, dtype])Interpret the input as a matrix.asfarray(a[, dtype])Return an array converted to a float type.asfortranarra...
array([("raju",21),("anil",25),("ravi", 17), ("amar",27)], dtype = dt) print ('我们的数组是:') print (a) print ('\n') print ('按name 排序:') print (np.sort(a, order = 'name'))输出结果为:我们的数组是: [[3 7] [9 1]] 调用 sort() 函数: [[3 7] [1 9]]...
1,3,4])#shape(3,)b1=np.array([4,6,7])#shape(3,)c1=np.stack((a,b))print(c1)print(c1.shape)#( 2,3)# 二维数组进行堆叠 a2=np.array([[ 1,3,5],[5,6,9]])#shape( 2,3)b2=np.array([[1,3,5],[5,6,9]])#shape(2,3)c2=np.stack((a2,b2),axis=0)print(c2)print...
# (array([0, 1, 2, 2], dtype=int64), array([0, 1, 0, 1], dtype=int64)) print(np.array(y)) # [[0 1 2 2] # [0 1 0 1]] print(np.array(y).shape) # (2, 4) print(np.array(y).ndim) # 2 y = x[np.nonzero(x)] print(y) # [3 4 5 6] y = np.transpose...
Whenais an array with fields defined, this argument specifies which fields to compare first, second, etc. A single field can be specified as a string, and not all fields need be specified, but unspecified fields will still be used, in the order in which they come up in the dtype, to ...
numpy.asarray(a, dtype=None, order=None, *, like=None) 将输入转换为数组。 Examples: #Convert a list into an array: >>>a = [1, 2] >>>np.asarray(a) array([1, 2]) #Existing arrays are not copied: >>>a = np.array([1, 2]) >>>np.asarray(a) is a True #If dtype is...
numpy.sort(a[, axis=-1, kind='quicksort', order=None])Return a sortedcopyof an array. axis:排序沿数组的(轴)方向,0表示按行,1表示按列,None表示展开来排序,默认为-1,表示沿最后的轴排序。 kind:排序的算法,提供了快排’quicksort’、混排’mergesort’、堆排’heapsort’, 默认为‘quicksort’。
1. >>> import numpy as np2. >>> a = np.array([1, 2, 3, 4, 5])3. >>> b = np.array([True, False, True, False, True])4. >>> a[b]5. array([1, 3, 5])6. >>> b = np.array([False, True, False, True, False])7. >>> a[b]8. array([2, 4])9. >>> ...
numpy.argsort(a[, axis=-1, kind='quicksort', order=None]) Returns the indices that would sort an array. 返回排序后的索引 x = np.random.randint(0, 10, 10) print('没有排序之前') print(x) print('排序后返回的索引') y = np.argsort(x) print(y) print('按照索引取值后') print(x...
三、ndarray 数组的创建和变换 Array creation routines 3.1 从已有的数据创建 From existing data 3.1.1 np.array() 语法:np.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) x = np.array(list/tuple) x = np.array(list/tuple, dtype =np.float32) ...