defround_to_nearest_hundred(n):returnround(n/100)*100# 示例使用numbers=[375,150,1234,89,645]rounded_numbers=[round_to_nearest_hundred(num)fornuminnumbers]print("原始数字 | 向最近的100倍数取整")print("---")fororiginal,roundedinzip(numbers,rounded_numbers):print(f"{original:<10}|{rounded...
round_to_nearest(n, 5))) -21 => -20 -18 => -20 -15 => -15 -12 => -10 -9 => -10 -6 => -5 -3 => -5 0 => 0 3 => 5 6 => 5 9 => 10 12 => 10 15 => 15 18 => 20 21 => 20 24 => 25 27 => 25 ...
Round to nearest Fields: AwayFromZero ToEven A round-to-nearest operation takes an original number with an implicit or specified precision; examines the next digit, which is at that precision plus one; and returns the nearest number with the same precision as the original number. For positive nu...
round #可以把⼩数4舍5⼊成整数 ,round(10.15,1) 得10.2 59. set 60. setattr #⾯向对象时⽤,现在忽略 61. slice #没⽤ 62. sorted 63. staticmethod #⾯向对象时⽤,现在忽略 64. str 65. sum #求和,a=[1, 4, 9, 1849, 2025, 25, 36],sum(a) 得3949 66. super #⾯向对象...
对于那些 LOF 异常得分小于等于 1 的,从数据集里剔除,剩下的在下一轮寻找更合适的 nearest-neighbor,并更新 LOF 值。 Python 实现 LOF 有两个库可以计算LOF,分别是PyOD和Sklearn,下面分别介绍。 使用pyod自带的方法生成200个训练样本和100个测试样本的数据集。正态样本由多元高斯分布生成,异常样本是使用均匀分布...
="",xlabel='Date',ylabel='Value',dpi=100):plt.figure(figsize=(16,5),dpi=dpi)plt.plot(x,y,color='tab:red')plt.gca().set(title=title,xlabel=xlabel,ylabel=ylabel)plt.show()plot_df(df,x=df.index,y=df.value,title='Monthly anti-diabetic drug sales in Australia from 1992 to 2008....
Mean of 'n' Nearest Past Neighbors: 使用'k'个最近的过去邻居的均值来填充缺失值,并计算填充后数据与原始数据的均方误差(MSE)。 Seasonal Mean: 使用相应季节期间的均值,它计算了对应季节期间的均值,并使用该均值来填充缺失值。然后,计算填充后数据与原始数据的均方误差(MSE),并绘制填充后的数据与原始数据的比较...
To round every value down to the nearest integer, use np.floor(): Python >>> np.floor(data) array([[-1., -3., -1., 0.], [ 0., 0., -1., 0.], [-1., -1., 0., -1.]]) You can also truncate each value to its integer component with np.trunc(): Python >>>...
self.__filter = Image.ANTIALIAS # could be: NEAREST, BILINEAR, BICUBIC and ANTIALIAS self.__previous_state = 0 # previous state of the keyboard self.path = path # path to the image, should be public for outer classes # Create ImageFrame in placeholder widget ...
resize_factor = spacing / new_spacingnew_real_shape = image.shape * resize_factornew_shape = np.round(new_real_shape)real_resize_factor = new_shape / image.shapenew_spacing = spacing / real_resize_factorimage = scipy.ndimage.interpolation.zoom(image, real_resize_factor, mode='nearest')...