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...
round(x.value).astype(int) # Round to the nearest integer and convert to int # Create a DataFrame for the solution solution_df = pd.DataFrame(solution, index=supply_nodes, columns=demand_nodes) print("Optimal Value (Total Transportation Cost):", result) print("Solution (Transportation Plan)...
代码语言:txt 复制 from datetime import datetime # 创建一个Datetime对象 dt = datetime(2022, 1, 1, 10, 30, 45, 678) # 舍入毫秒 rounded_dt = dt.replace(microsecond=(dt.microsecond // 1000) * 1000) print(rounded_dt) 输出结果将是:2022-01-01 10:30:45.000。 在腾讯云的产品中,与Datetim...
from PIL import Image # open the original image original_img = Image.open("parrot1.jpg") #rotate image rot_180 = original_img.rotate(180, Image.NEAREST, expand = 1) # close all our files object I = np.array(original_img) I_rot = np.array(rot_180) original_img.close() I_grey ...
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')...
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...
本文约7500字,建议阅读20+分钟本文介绍了时间序列的定义、特征并结合实例给出了时间序列在Python中评价指标和方法。 时间序列是在规律性时间间隔上记录的观测值序列。本指南将带你了解在Python中分析给定时间序列的特征的全过程。 图片来自Daniel Ferrandi
Tkinter 的画布小部件具有以下内置功能: 使用 canvas.scan_mark 和 canvas.scan_dragto 移动/平移画布(例如通过单击 + 拖动),请参阅 此问题 使用 canvas.scale 缩放画布上的矢量元素,但遗憾的是,这 不适 用...
The nonlocal statement is used to refer to variables defined in the nearest outer (excluding the global) scope. def another_func(): a = 1 def another_inner_func(): nonlocal a a += 1 return a return another_inner_func() Output: >>> another_func() 2 The keywords global and non...
## 6. Mean of 'n' Nearest Past Neighbors ---def knn_mean(ts, n):out = np.copy(ts)for i, val in enumerate(ts):if np.isnan(val):n_by_2 = np.ceil(n/2)lower = np.max([0, int(i-n_by_2)])upper = np.min([len...