(1-4)第6行是把一行整数追加到矩阵nmtx中。 第9行中,调用enumerate函数。调用enumerate函数的写法是:enumerate(序列)。作用是为序列中的元素加上序号。生成的结果也是一个序列。 举一个例子说明enumerate函数的用法。enumerate(['a', 'b', 'c'])的值是:[(0, 'a'), '(1, 'b'), (2, 'c')
Python’s enumerate() is a built-in Python function that adds a counter to an iterable and returns the enumerate object. This enumerate python may be turned into a list of tuples using the list() method or used straight in a for loop. In this way, you avoid having to manually increme...
divmod #返回除法的商和余数 ,⽐如divmod(4,2),结果(2, 0) 20. enumerate #返回列表的索引和元素,⽐如 d = [“alex”,”jack”],enumerate(d)后,得到(0, ‘alex’) (1,‘jack’) 21. eval #可以把字符串形式的list,dict,set,tuple,再转换成其原有的数据类型。 22. exec #把字符串格式的...
1、enumerate(iterable,start=0) enumerate()是python的内置函数,是枚举、列举的意思 对于一个可迭代的(iterable)/可遍历的对象(如列表、字符串),enumerate将其组成一个索引序列,利用它可以同时获得索引和值 在python中enumerate的用法多用于在for循环中得到计数 seasons = ['Spring', 'Summer', 'Fall', 'Winter'...
enumerate() helps in avoiding the off-by-one error or off-by-one bug. Weakness: enumerate() only counts in a consecutive way, i.e., start from any numberiand then increment it by 1. For example, i, i+1, i+2, i+3, i+4 and so on. If you want to assign values in a diffe...
... return whichday #连续掉线时间范围及天数处理函数 def data_preprocess_dactory(self,lst,k_v,BUILD_ID): result1 = [] result2 = [] for k, g in groupby(enumerate(lst), lambda x: x[1] - x[0]): l1 = [k_v.get(j).strftime('%Y-%m-%d') for i, j in g] # 连续时间的列表...
img1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY) # 通过OpenCV加载的图像通道顺序是BGR if(img2.ndim == 3): img2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY) # 直方图均衡 img1 = cv2.equalizeHist(img1) img2 = cv2.equalizeHist(img2) ...
1、enumerate(iterable,start=0) enumerate()是python的内置函数,是枚举、列举的意思 对于一个可迭代的(iterable)/可遍历的对象(如列表、字符串),enumerate将其组成一个索引序列,利用它可以同时获得索引和值 在python中enumerate的用法多用于在for循环中得到计数 ...
some_string = "wtf" some_dict = {} for i, some_dict[i] in enumerate(some_string): i = 10Output:>>> some_dict # An indexed dict appears. {0: 'w', 1: 't', 2: 'f'}💡 Explanation:A for statement is defined in the Python grammar as: for_stmt: 'for' exprlist 'in' ...
(pred, opt.conf_thres, opt.iou_thres, classes=opt.classes, agnostic=opt.agnostic_nms)t2 = time_synchronized()# Apply Classifierif classify:pred = apply_classifier(pred, modelc, img, im0s)# Process detectionsfor i, det in enumerate(pred): # detections per imageif webcam: # batch_size...