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ML
ffm-baseline
Commits
bd962dca
Commit
bd962dca
authored
Jan 04, 2019
by
张彦钊
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add device_read
parent
5a4b604d
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1 changed file
with
18 additions
and
11 deletions
+18
-11
device_read_time_normal.py
tensnsorflow/device_read_time_normal.py
+18
-11
No files found.
tensnsorflow/device_read_time_normal.py
View file @
bd962dca
...
...
@@ -22,18 +22,25 @@ def normal():
db
=
pymysql
.
connect
(
host
=
'10.66.157.22'
,
port
=
4000
,
user
=
'root'
,
passwd
=
'3SYz54LS9#^9sBvC'
,
db
=
'jerry_test'
)
sql
=
"select * from device_read_time"
df
=
con_sql
(
db
,
sql
)
df
=
df
.
rename
(
columns
=
{
0
:
"device_id"
,
1
:
"0"
,
2
:
"1"
,
3
:
"10"
,
4
:
"1024"
,
5
:
"1080"
,
6
:
"11"
,
7
:
"12"
,
8
:
"13"
,
9
:
"2"
,
10
:
"2054"
,
11
:
"2214"
,
12
:
"3"
,
13
:
"4"
,
14
:
"5"
,
16
:
"6933"
,
17
:
"7"
,
18
:
"9"
,
19
:
"922"
,
20
:
"929"
,
21
:
"971"
,
22
:
"992"
})
device_id
=
df
[[
"device_id"
]]
df
=
df
.
drop
(
"device_id"
,
axis
=
1
)
minMax
=
MinMaxScaler
()
result
=
pd
.
DataFrame
(
minMax
.
fit_transform
(
df
),
columns
=
[
"0"
,
"1"
,
"10"
,
"1024"
,
"1080"
,
"11"
,
"12"
,
"13"
,
"2"
,
"2054"
,
"2214"
,
"3"
,
"4"
,
"5"
,
"6933"
,
"7"
,
"9"
,
"922"
,
"929"
,
"971"
,
"992"
])
result
=
device_id
.
join
(
result
)
df
=
df
.
rename
(
columns
=
{
0
:
"device_id"
,
1
:
"kongbai"
,
2
:
"eye"
,
3
:
"simi"
,
4
:
"zitizhifang"
,
5
:
"banyongjiu"
,
6
:
"teeth"
,
7
:
"kouchun"
,
8
:
"ear"
,
9
:
"nose"
,
10
:
"banyongjiuzhuang"
,
11
:
"qita"
,
12
:
"lunkuo"
,
13
:
"shoushen"
,
14
:
"skin"
,
16
:
"shenghuo"
,
17
:
"breast"
,
18
:
"hair"
,
19
:
"kangshuai"
,
20
:
"shili"
,
21
:
"chanhou"
,
22
:
"zhushe"
})
# device_id = df[["device_id"]]
# df = df.drop("device_id",axis=1)
# minMax = MinMaxScaler()
# result = pd.DataFrame(minMax.fit_transform(df),columns=["0","1","10","1024","1080","11",
# "12","13","2","2054","2214","3","4","5","6933",
# "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'
)
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__"
:
...
...
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