ndarray.flatten(order='C') Return a copy of the array collapsed into one dimension. Parameters: order: {‘C’, ‘F’, ‘A’, ‘K’}, optional ‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to f...
flatten是numpy.ndarray.flatten的一个函数,即返回一个折叠成一维的数组。但是该函数只能适用于numpy对象,即array或者mat,普通的list列表是不行的。 其官方文档是这样描述的 Parameters:ndarray.flatten(order='C')Returna copy of the array collapsedintoone dimension.order:{‘C’,‘F’,‘A’,‘K’},optional...
a.flatten(order='C') Return a copy of the array collapsed into one dimension. Parameters --- order : {'C', 'F', 'A', 'K'}, optional 'C' means to flatten in row-major (C-style) order. 'F' means to flatten in column-major (Fortran- style) order. 'A' means to flatten in...
reshape(a, newshape[, order])Gives a new shape to an array without changing its data.ravel(a[, order])Return a contiguous flattened array.ndarray.flatA 1-D iterator over the array.属性,会改变原数组。ndarray.flatten([order])Return a copy of the array collapsed into one dimension.方法,不...
numpy下的flatten()函数用法详解 flatten是numpy.ndarray.flatten的一个函数,其官方文档是这样描述的: ndarray.flatten(order='C') Return a copy of the array collapsed into one dimension. Parameters: order : {‘C', ‘F', ‘A', ‘K'}, optional...
Convert the array into a 1D array: import numpy as np arr = np.array([[1, 2, 3], [4, 5, 6]]) newarr = arr.reshape(-1) print(newarr) Try it Yourself » Please note that there are numerous numpy functions available for reshaping arrays, such asflatten,ravel, and for rearrangi...
numpy.ndarray.flatten(order='C') Parameters: Return value: ndarray - A copy of the input array, flattened to one dimension. Example: Flattening a NumPy array using numpy.ndarray.flatten() >>> import numpy as np >>> y = np.array([[2,3], [4,5]]) ...
numpy下的flatten（）函数用法 numpy下的flatten（）函数⽤法 flatten是numpy.ndarray.flatten的⼀个函数，其官⽅⽂档是这样描述的：ndarray.flatten(order='C')Return a copy of the array collapsed into one dimension.Parameters:order : {‘C’, ‘F’, ‘A’, ‘K’}, optional ‘C’ means to ...
3. ndarray.flatten Reference 前言 本篇总结、介绍数组的基本操作之一——改变数组形状 [1]。 1. reshape numpy.reshape(a, newshape, order=‘C’):在不改变数据的情况下为数组赋予新的形状 a:类数组(array_like)。待重塑数组 newshape:整数(一维数组)或者整数列表/元组(高维数组)等。重塑之后的数组形状(sh...
.Returns---y:ndarrayAcopyofthe input array,flattened to one dimension.See Also---ravel:Return a flattened array.flat:A1-Dflat iterator over the array.Examples--->>>a=np.array([[1,2],[3,4]])>>>a.flatten()array([1,2,3,4])>>>a.flatten('F')array([1,3,2,4]) 备注 1. 感...