代码语言:javascript 代码运行次数:0 运行 AI代码解释 importnumpyasnp # Creating two2-dimensional arrays array1=np.array([[1,2],[3,4]])array2=np.array([[5,6],[7,8]])# Stacking the two arrays horizontally result=np.hstack((array1,array2))print("Array 1:")print(array1)print("\nA...
b = np.array([2,4,6]) # Stack two arrays row-wise print(np.vstack((a,b))) >>>[[135] [246]] # Stack two arrays column-wise print(np.hstack((a,b))) >>>[135246] 分割数组 举例: # Split array into groups of ~3 a = np.array([...
>>> one = arange(2) >>> one array([0, 1]) >>> two = one + 2 >>> two array([2, 3]) >>> row_stack((one, two)) array([[0, 1], [2, 3]]) 对于2维数组,其作用就像垂直组合一样。 列组合column_stack >>> column_stack((oned, twiceoned)) array([[0, 2], [1, 3]]...
>>>c=array([[[0,1,2],# a 3D array (two stacked 2D arrays)...[10,12,13]],...[[100,101,102],...[110,112,113]]])>>>c.shape(2,2,3)>>>c[1,...]# same as c[1,:,:] or c[1]array([[100,101,102],[110,112,113]])>>>c[...,2]# same as c[:,:,2]array...
在 NumPy 中,这可以通过函数 column_stack、dstack、hstack 和vstack 来实现,具体取决于堆叠的维度。例如: >>> x = np.arange(0, 10, 2) >>> y = np.arange(5) >>> m = np.vstack([x, y]) >>> m array([[0, 2, 4, 6, 8], [0, 1, 2, 3, 4]]) >>> xy = np.hstack([x...
该函数将column_stack1D数组作为列堆叠到2D数组中。它仅相当于hstack2D数组: >>>fromnumpyimportnewaxis>>> np.column_stack((a,b))#with 2D arraysarray([[ 8., 8., 1., 8.], [ 0., 0., 0.,4.]])>>> a = np.array([4.,2.])>>> b = np.array([3.,8.])>>> np.column_stack...
column_stack 函数可堆叠一维数组为二维数组的列,作用相等于针对二维数组的 hstack 函数。 >>> from numpy import newaxis >>> np.column_stack((a,b)) # with 2D arrays array([[ 8., 8., 1., 8.], [ 0., 0., 0., 4.]]) >>> a = np.array([4.,2.]) ...
功能column_stack将一维数组作为列堆叠到二维数组中。 它相当于 hstack仅适用于二维数组: from numpy import newaxis np.column_stack((a, b)) # with 2D arrays array([[9., 7., 1., 9.], [5., 2., 5., 1.]]) a = np.array([4., 2.]) b = np.array([3., 8.]) np.column_sta...
In this example, two 1-D arrays x and y are stacked. By default, they are stacked along axis=0, creating a 2x3 array. When stacked along axis=-1, the result is a 3x2 array. Visual Presentation: Frequently Asked Questions (FAQ): numpy.stack() Function ...
# Create two 1-dimensional arraysarr1= np.array([1,2,3])arr2= np.array([4,5,6])# Vertically stack the arraysstacked_arr= np.vstack((arr1, arr2))[[1 2 3][4 5 6]] numpy.hstack:与vstack类似,但是是水平堆叠数组。 4、数学函数 ...