current_line= line.strip().split('\t')foriinrange(file_wide): lineset.append(float(current_line[i])) dataset.append(lineset) fr.close()returndataset 画出图 #plot the lwlr imagedefplot_lwlr(testset, dataset, datalable): xmat=mat(dataset) strind= xmat[:, 1].argsort(0) xsort=x...
fromnumpyimport*importoperator#this KNN matrix col is 3#in order to create datadefcreateDataSet(): group= array([[1.0, 1.1], [1.0, 1.0], [0.0, 0.0], [0.0, 0.1]]) lables= ['A','A','B','B']returngroup, lables#main algorithmdefclassify0(inx, dataSet, lables, k): datasetSize=...
The pandas Series is a one-Dimensional data structure, it is a similar kind of one-Dimensional ndarray, and is capable of holding homogeneous elements with any data type. It can store integers, strings, floating-point numbers, Python objects, etc. Each value present in this pandas Series is...
#get the top 10 timezone which value is biggestdeftop_counts(count_dict, n=10): value_key_pairs= [(count, tz)fortz, countincount_dict.items()]#this sort method is ascvalue_key_pairs.sort()returnvalue_key_pairs[-n:] # get top counts by get_count function counts = simple_get_coun...
Python 程式: D_sorted = Ds.argsort() first_k = D_sorted[0:k] # 提取前 k 个元素(但這句其實不需用到) 现在要找出这 k 个点子的 labels,我们可以创造一个新的 array 储存它们: first_k_labels = array([0]*k) # 准备空的 array