03 2023 档案

python_数据分析与挖掘实战_洗浴事件
摘要：import pandas as pd import matplotlib.pyplot as plt inputfile = '../../data/0321/original_data.xls' data = pd.read_excel(inputfile) # 读取数据 # 查看有无水流的分布 阅读全文
posted @ 2023-03-26 20:09 whatisthat 阅读(39) 评论(0) 推荐(0) 编辑
python_数据分析与挖掘实战_商品
摘要：import pandas as pd import numpy as np data = pd.read_csv('../../data/0314/GoodsOrder.csv',encoding='gbk') data.info() data = data['id'] description = 阅读全文
posted @ 2023-03-19 20:53 whatisthat 阅读(41) 评论(0) 推荐(0) 编辑
python_数据分析与挖掘实战_客户流失预测
摘要：import matplotlib.pyplot as plt import pandas as pd import numpy as np data = pd.read_csv('../../data/0307/air_data.csv') resultfile = 'C:\\Users\\158 阅读全文
posted @ 2023-03-12 20:23 whatisthat 阅读(104) 评论(0) 推荐(0) 编辑
python_数据分析与挖掘实战_灰色预测模型
摘要：import sys sys.path.append('../../code') # 设置路径 import numpy as np import pandas as pd # from GM11 import GM11 # 引入自编的灰色预测函数 def GM11(x0): #自定义灰色预测函数 阅读全文
posted @ 2023-03-05 21:33 whatisthat 阅读(173) 评论(0) 推荐(0) 编辑

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