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ffm-baseline
Commit bd962dca authored by 张彦钊's avatar 张彦钊
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add device_read

parent 5a4b604d
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Showing with 18 additions and 11 deletions
tensnsorflow/device_read_time_normal.py
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...@@ -22,18 +22,25 @@ def normal(): ...@@ -22,18 +22,25 @@ def normal():
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test') db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select * from device_read_time" sql = "select * from device_read_time"
df = con_sql(db, sql) df = con_sql(db, sql)
df = df.rename(columns={0:"device_id",1:"0",2:"1",3:"10",4:"1024",5:"1080",6:"11", df = df.rename(columns={0:"device_id",1:"kongbai",2:"eye",3:"simi",4:"zitizhifang",5:"banyongjiu",6:"teeth",
7:"12",8:"13",9:"2",10:"2054",11:"2214",12:"3",13:"4",14:"5",16:"6933", 7:"kouchun",8:"ear",9:"nose",10:"banyongjiuzhuang",11:"qita",12:"lunkuo",
17:"7",18:"9",19:"922",20:"929",21:"971",22:"992"}) 13:"shoushen",14:"skin",16:"shenghuo",
device_id = df[["device_id"]] 17:"breast",18:"hair",19:"kangshuai",20:"shili",21:"chanhou",22:"zhushe"})
df = df.drop("device_id",axis=1) # device_id = df[["device_id"]]
minMax = MinMaxScaler() # df = df.drop("device_id",axis=1)
result = pd.DataFrame(minMax.fit_transform(df),columns=["0","1","10","1024","1080","11", # minMax = MinMaxScaler()
"12","13","2","2054","2214","3","4","5","6933", # result = pd.DataFrame(minMax.fit_transform(df),columns=["0","1","10","1024","1080","11",
"7","9","922","929","971","992"]) # "12","13","2","2054","2214","3","4","5","6933",
result = device_id.join(result) # "7","9","922","929","971","992"])
# result = device_id.join(result)
l = list(df.columns)
l.remove("device_id")
df["sum"] = df.sum(axis=1)
for i in l:
df[i] = df[i]/df["sum"]
df = df.drop("sum",axis=1)
yconnect = create_engine('mysql+pymysql://root:3SYz54LS9#^9sBvC@10.66.157.22:4000/jerry_test?charset=utf8') yconnect = create_engine('mysql+pymysql://root:3SYz54LS9#^9sBvC@10.66.157.22:4000/jerry_test?charset=utf8')
pd.io.sql.to_sql(result, "device_read_time_normal", yconnect, schema='jerry_test', if_exists='fail', index=False) pd.io.sql.to_sql(df, "device_read_time_normal", yconnect, schema='jerry_test', if_exists='fail', index=False)
if __name__ == "__main__": if __name__ == "__main__":
......
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