摘要: # -*- coding: utf-8 -*- # 代码12-1 评论去重的代码 import pandas as pdimport reimport jieba.posseg as psgimport numpy as np # 去重,去除完全重复的数据reviews = pd.read_csv( 阅读全文
posted @ 2023-04-03 16:32 zty666 阅读(171) 评论(0) 推荐(0)
摘要: import pandas as pdimport matplotlib.pyplot as pltimport numpy as npdata=pd.read_excel(r"C:\Users\admin\Desktop\original_data.xls")iv_non=pd.value_cou 阅读全文
posted @ 2023-03-20 16:27 zty666 阅读(59) 评论(0) 推荐(0)
摘要: # -*- coding: utf-8 -*- # 代码8-1 查看数据特征 import numpy as npimport pandas as pd inputfile =r"C:\Users\admin\Desktop\GoodsOrder.csv" # 输入的数据文件data = pd.re 阅读全文
posted @ 2023-03-15 16:16 zty666 阅读(29) 评论(0) 推荐(0)
摘要: #7.1数据探索import matplotlib.pyplot as pltimport pandas as pddatafile=r"C:\Users\admin\Desktop\39984b862fb97f6326368ad28c7b6a4e_a8b8b4ac463b459805927f22a 阅读全文
posted @ 2023-03-08 14:52 zty666 阅读(55) 评论(0) 推荐(0)
摘要: import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as snsinputfile = r"C:\Users\asus\Desktop\data.csv"data = pd.read_c 阅读全文
posted @ 2023-03-05 18:37 zty666 阅读(34) 评论(0) 推荐(0)
摘要: import pandas as pdimport matplotlib.pyplot as pltimport numpy as np ##读取数据url = r'C:/Users/asus/Desktop/catering_fish_congee(1).xls'data = pd.read_ex 阅读全文
posted @ 2023-02-26 17:33 zty666 阅读(396) 评论(0) 推荐(0)
摘要: torch 神经网络例子: import torchimport torch.nn as nnimport torch.nn.functional as F class Net(nn.Module): def __init__(self): super(Net, self).__init__() # 阅读全文
posted @ 2022-05-16 17:26 zty666 阅读(67) 评论(0) 推荐(0)
摘要: 到目前为止,Keras已经与TensorFlow完全整合。Keras团队不再更新或维护Keras的独立版本。所以现在所讨论的Keras,是一个集成在Tensor Flow中的API,而不是一个单独的独立库。 TensorFlow 用图来表示计算任务,图中的节点被称之为operation,缩写成op。 阅读全文
posted @ 2022-04-24 23:42 zty666 阅读(58) 评论(0) 推荐(0)
摘要: import numpy as npimport mathimport randomimport stringimport matplotlib as mplimport matplotlib.pyplot as pltdef random_number(a, b): return (b - a) 阅读全文
posted @ 2022-03-18 18:00 zty666 阅读(297) 评论(0) 推荐(0)
摘要: num = int(input())count = 0while (num!=1): length = list(str(num)) num = 0 for i in length: num = num+ int(i)*int(i) count = count+1 if count >100: br 阅读全文
posted @ 2021-09-15 20:26 zty666 阅读(37) 评论(0) 推荐(0)