squares = [x**2 for x in range(10)]print(squares)# [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]甚至可以调用外部函数：defsome_function(a):return (a + 5) / 2my_formula = [some_function(i) for i in range(10)]print(my_formula)# [2
#!/usr/bin/env python3 words = ['forest', 'wood', 'sky', 'rock'] for word in reversed(words): print(word) word = 'forest' for e in reversed(word): print(e, end=' ') print() for e in reversed(range(1, 10, 2)): print(e) 在示例中,我们在列表,单词和范围上使用reversed(...
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lr=0.01 ) for epoch in range(1000): optimizer.zero_grad() out = iris_model(X_train) loss = criterion(out, y_train) loss.backward() optimizer.step() if epoch % 10 == 0: print('number of epoch', epoch, 'loss', loss)
、列索引获取对应的单元格对象 # 获取某一个单元格对象 # 注意:索引从0开始 # 比如:获取第一行、第一列的单元格对象 cell...拿到文本对象的段落对象通过段落,指定段落对齐方式及文字的样式以设置第一行单元格文字加粗、居中显示为例 # 5、设置第一行表头单元格文字加粗居中显示 for column_index in range...
假设您想从 B 列开始,打印每个奇数行的单元格中的值。通过为range()函数的step参数传递2,可以从每隔一行(在本例中,所有奇数行)获取单元格。for循环的i变量作为row关键字参数传递给cell()方法,而2总是作为column关键字参数传递。注意,传递的是整数2,而不是字符串'B'。
import aeon import pandas as pd # 创建一个示例时间序列数据 data = {'date': pd.date_range(start='2022-01-01', periods=10, freq='D'), 'value': [10, 20, 15, 30, 25, 35, 40, 45, 50, 55]} df = pd.DataFrame(data) # 使用滑动窗口计算均值 window_size = 3 df['rolling_mean...
Python def fact_loop(num): if num < 0: return 0 if num == 0: return 1 factorial = 1 for i in range(1, num + 1): factorial = factorial * i return factorial You can also use a recursive function to find the factorial. This is more complicated but also more elegant than using...
(range(trainsize, T-1)):train_set = data.iloc[s: t]test_set = data.iloc[t+1] # 1-step ahead forecastmodel = arch_model(y=train_set, p=p, q=q).fit(disp='off')forecast = model.forecast(horizon=1)mu = forecast.mean.iloc[-1, 0]var = forecast.variance.iloc[-1, 0]result...
Python def naive_grouper(inputs, n): num_groups = len(inputs) // n return [tuple(inputs[i*n:(i+1)*n]) for i in range(num_groups)] for _ in naive_grouper(range(100000000), 10): pass From the console, you can use the time command (on UNIX systems) to measure memory ...