In this video course, you'll learn how to flatten a list of lists in Python. You'll use different tools and techniques to accomplish this task. First, you'll use a loop along with the .extend() method of list. Then you'll explore other tools, including r
returnlist(numpy.array(a).flat) #使用numpy defnumpy_concatenate(a): returnlist(numpy.concatenate(a)) #自定义函数 defflatten(items): """Yield items from any nested iterable; see REF.""" forxinitems: ifisinstance(x, Iterable)andnotisinstance(x, (str, bytes)): yieldfromflatten(x) else: ...
flatten_list = [x for sub_matrix inmatrix for row in sub_matrix for x in row]使用循环，平面化过程如下：flatten_list = []for sub_matrix in matrix:for row in sub_matrix:for x in row:flatten_list.append(x)列表式很酷，但可读的代码更酷。不要试图总是让自己使用列表式，即使这样做可能...
1. 碾平列表 碾平列表(flatten list ),即当列表里面嵌套列表,如何将这些子列表给取出来,得到一个不包含子列表的列表,示例如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 list1=[1,[2,[3,4]],5]=>new_list=[1,2,3,4,5] 这里介绍 3 种方法,分别如下。 方法1:利用递归的思想,代码如下:...
In this video course, you'll learn how to flatten a list of lists in Python. You'll use different tools and techniques to accomplish this task. First, you'll use a loop along with the .extend() method of list. Then you'll explore other tools, including reduce(), sum(), itertools....
def flatten(alist): """二维列表扁平化 """ result=[] # *** Begin ***# for i in range(2): for j in range(len(alist[i])): result.append(alist[i][j]) # *** End ***# return result #创建一个二维列表 M=eval(input()) # ...
至于其余方式，总结如下:frommatplotlib.cbookimportflattenflatten(some_nested)fromtensorflowimportnestnest....
>>>#flatten...print([yforxinlist_of_listforyinx]) [1, 2, 3, 4, 5, 6, 7, 8] 2、使用()生成generator 将俩表推导式的[]改成()即可得到生成器。 >>> gnrt = (iforiinrange(30)ifi % 3is0)>>>print(type(gnrt))<class'generator'> ...
除了opencv专门用来进行图像处理,可以进行像素级、特征级、语义级、应用级的图像处理外,python中还有其他库用来进行简单的图像处理,比如图像的读入和保存、滤波、直方图均衡等简单的操作,下面对这些库进行详细的介绍。 目录 一、PIL库 一、安装命令 二、Image模块 ...
23. if not isinstance(a, (list, )): 24. return [a] 25. else: 26. b = [] 27. for item in a: 28. b += flatten(item) 29. return b 30. if __name__ == '__main__': 31. a = [[[1,2],3],[4,[5,6]],[7,8,9]] ...