从上面的结果中,不难发现Series对象将一组对象和一组索引绑定在一起,我们可以通过values属性和index属性来获取数据。values属性返回的结果与Numpy数组类似;index属性返回的结果是一个类型为pd.Index的类数组对象。 data.index,data.values 1. (RangeIndex(start=0, stop=5, step=1), array([1, 2, 3, 4, 5...
stat_dict['edge_labels'] = list(set([d for core_res in res for file_res in core_res for d in file_res['edge_labels']])) if 'target_mean' in prop or 'target_std' in prop: param = np.array([file_res['params'] for core_res in res for file_res in core_res]) if 'targe...
Another approach is to create an array using thearray()function after importing the numpy module. Further, we will use theunique()function to remove the duplicate elements from the list. Finally, we will calculate the length of that array to get the count of the unique elements. Solution: #...
pretrained_dict = {k: v for k, v in pretrained_dict.items() if np.shape(model_dict[k]) == np.shape(v)} model_dict.update(pretrained_dict) model.load_state_dict(model_dict) loss_history = LossHistory(save_dir, model, input_shape=input_shape) if fp16: from torch.cuda.amp import...
Construct pandas DataFrame from items in nested dictionary Plotting categorical data with pandas and matplotlib NumPy isnan() fails on an array of floats Can Pandas plot a histogram of dates? How to Shift a Column in Pandas Dataframe? Extract first and last row of a DataFrame in PandasLearn...
items(): if k not in args_vars: setattr(args, k, v) else: raise ValueError("Key {} can used by args only".format(k))device = torch.device(args.device) # fix the seed for reproducibility seed = 42 torch.manual_seed(seed) np.random.seed(seed)...
Example: Using NumPy module to Find Unique Elements This example uses a built-in NumPy function callednumpy.unique()to count unique values.numpy.unique()function returns the unique values and takes array-like data as an input list. It also returns the count of each unique element if thereturn...
['name']) #用cv2读取一张图片 # pts = np.array(ig_list,np.int32) #把ig_list转成numpy.ndarray数据格式,为了填充需要 # cv2.fillPoly(ig_cv_img,[pts],(0,0,0),cv2.LINE_AA) #使用cv2.fillPoly方法对有忽略区的图片用像素为0填充 # ig_img = Image.fromarray(cv2.cvtColor(ig_cv_img,cv2...
vector of the rowrow=[0foriinrange(size)]forword,valueinword_count.items():row[self.vocabulary[word]]=value tf_matrix.append(row)tf_matrix=np.array(tf_matrix)returntf_matrixdefget_vocab(self):# Returns the dictionary of termsreturnself.vocabulary...
Tensor Sketch is a well established method for kernel feature map approximation, which has been broadly applied in the literature. For instance, it has recently gained a lot of popularity to accelerate certain bilinear models [2]. While the current kernel approximation module contains various kernel...