class loaddata(dataset): def __init__(self, csv_file): # 读取数据 data = pd.read_csv(csv_file, parse_dates=['timestamp'], index_col='timestamp', dayfirst=true) self.data = self.prepare_daily_samples(data['household 200']) # 处理缺失值和异常值 self.data = self.handle_missing_and_outliers(self.data) # 数据最大值归一化处理 self.scaler = minmaxscaler() self.data = self.scaler.fit_transform(self.data.reshape(-1, self.data.shape[-1])).reshape(self
请问您是希望对这段代码进行解释、修改、补充,还是基于这段代码为您提供相关的示例或者解答一些关于它的疑问呢? [2024-11-09 10:50:56 | AI写代码神器 | 34点数解答]
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- [字节豆包] class loaddata(dataset): def __init__(self, csv_file): # 读取数据 data = pd.read_csv(csv_file, parse_dates=['timestamp'], index_col='timestamp', dayfirst=true) self.data = self.prepare_daily_samples(data['household 200']) # 处理缺失值和异常值 self.data = self.handle_missing_and_outliers(self.data) # 数据最大值归一化处理 self.scaler = minmaxscaler() self.data = self.scaler.fit_transform(self.data.reshape(-1, self.data.shape[-1])).reshape(self(34点数解答 | 2024-11-09 10:50:56)254
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- [字节豆包] 继承以上rect类,设计一个newrect类,要求添加一个数据成员,用以存放矩形位置, 位置坐标通常为矩形左上角坐标,用元组表示,例如(x,y),然后 修改构造方法; 设计move()方法,将矩形从一个位置移动到另一个位置; 设计size()方法改变矩形大小; 设计where()返回矩形左上角的坐标值。 class rect: def __init__(self,length,width): self.length=length self.width=width def perimeter(self): return 2*(self.length+self.width) def area(self): return self.length*self.width def show(self): print("该矩形的信息如下:") print("长=",self.length,end=",") p(94点数解答 | 2025-01-02 23:42:11)196
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- [字节豆包] 输入字符串数组words,每个字符串中间有且仅有一个空格,输入字符串prefix。输出在words中以prefix为前缀的数量。 class prefixtree: def __init__(self): self.table = [0] * 26 self.next = none def insert(self, s): current = self for ch in s: index = ord(ch) - ord('a') current.table[index] += 1 if current.next is none: current.next = prefixtree() current = current.next def count(self, s): current = self total_count = 0(259点数解答 | 2024-10-26 14:44:39)209
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