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ML
ffm-baseline
Commits
d7f015ec
Commit
d7f015ec
authored
Apr 04, 2019
by
张彦钊
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Merge branch 'master' of git.wanmeizhensuo.com:ML/ffm-baseline
删除数据库双写
parents
4a6010bd
e3ba66ef
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+1
-7
csv_sql.py
eda/recommended_indexs/csv_sql.py
+1
-7
nose.xls
eda/recommended_indexs/nose.xls
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eda/recommended_indexs/csv_sql.py
View file @
d7f015ec
...
@@ -4,17 +4,12 @@
...
@@ -4,17 +4,12 @@
import
pandas
as
pd
import
pandas
as
pd
from
sqlalchemy
import
create_engine
from
sqlalchemy
import
create_engine
data
=
pd
.
read_excel
(
'
knowledge_network
.xls'
)
data
=
pd
.
read_excel
(
'
nose
.xls'
)
print
(
data
.
head
())
print
(
data
.
head
())
# # 初始化数据库连接,使用pymysql模块
# # 初始化数据库连接,使用pymysql模块
engine
=
create_engine
(
str
(
r"mysql+mysqldb://
%
s:"
+
'
%
s'
+
"@
%
s:
%
s/
%
s
%
s"
)
%
(
"root"
,
"3SYz54LS9#^9sBvC"
,
'10.66.157.22'
,
"4000"
,
"jerry_prod"
,
"?charset=utf8"
))
engine
=
create_engine
(
str
(
r"mysql+mysqldb://
%
s:"
+
'
%
s'
+
"@
%
s:
%
s/
%
s
%
s"
)
%
(
"root"
,
"3SYz54LS9#^9sBvC"
,
'10.66.157.22'
,
"4000"
,
"jerry_prod"
,
"?charset=utf8"
))
# engine = create_engine('mysql+pymysql://root:147369@localhost:3306/mydb')
# engine = create_engine('mysql+pymysql://root:147369@localhost:3306/mydb')
data
.
to_sql
(
'Knowledge_network'
,
con
=
engine
,
if_exists
=
'append'
,
index
=
False
)
data
.
to_sql
(
'Knowledge_network'
,
con
=
engine
,
if_exists
=
'append'
,
index
=
False
)
# # 读取本地CSV文件
# df = pd.read_csv("E://mpg.csv", sep=',')
#
# # 将新建的DataFrame储存为MySQL中的数据表,不储存index列
# df.to_sql('mpg', engine, index= False)
print
(
"Write to MySQL successfully!"
)
print
(
"Write to MySQL successfully!"
)
\ No newline at end of file
eda/recommended_indexs/nose.xls
0 → 100644
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d7f015ec
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