a:array_likenewshape:intortupleofintsorder:{‘C’,’F’,‘A’},optional# 没 KReadandplacethe...
Array to be reshaped. newshape : int or tuple of ints The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array...
array(anchors).reshape(-1, 2) return anchors def generate_colors(class_names): hsv_tuples = [(x / len(class_names), 1., 1.) for x in range(len(class_names))] colors = list(map(lambda x: colorsys.hsv_to_rgb(*x), hsv_tuples)) colors = list(map(lambda x: (int(x[0] *...
np.reshape(a, newshape, order='C')a:array_likenewshape:intortupleofintsorder:{‘C’,...
ndarray.reshape(shape): 把同樣的資料以不同的 shape 輸出(array 的 total size 要相同) ndarray.resize(shape): 重新定義陣列的大小 ndarray.flatten(): 把多維陣列收合成一維陣列(扁平化&Copy) ndarray.ravel(): 回傳扁平化的陣列(無 Copy) # 项目选择与操作 ...
Returns a matrix from an array-like object, or from a string of data. asmatrix(data[, dtype]) Interpret the input as a matrix. bmat(obj[, ldict, gdict]) Build a matrix object from a string, nested sequence, or array. 1.
使用基于元组的索引和numpy重塑可能是您在这里能达到的最快速度: def vec_to_mat(vec): """Convert an array of shape (N, 6) to (N, 3, 3)""" mat = vec[:, (0, 5, 4, 5, 1, 3, 4, 3, 2)].reshape(-1, 3, 3) return matx = np.array([[1,2,3,4,5,6], [4,6,8,2,...
输入以下代码查看reshape函数官方注释 import numpy as np print(np.reshape.__doc__) 1. 2. 3. 解释如下: Gives a new shape to an array without changing its data. Parameters --- a : array_like Array to be reshaped. newshape : int or tuple of ints The new shape...
You pass a tuple with -1 as its first element. A negative number can’t be a valid length for a dimension. The value of -1 is used to let reshape() work out the length of the remaining dimension. You can use any negative number as a wildcard value, although it’s best to use ...
>>>data=np.arange(15).reshape(3,-1)+1>>>offsets=np.array([0,-3,2])>>>dia=sparse.dia_matrix((data,offsets),shape=(7,5))>>>dia.toarray()array([[1,0,13,0,0],[0,2,0,14,0],[0,0,3,0,15],[6,0,0,4,0],[0,7,0,0,5],[0,0,8,0,0],[0,0,0,9,0]]) ...