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ML
ffm-baseline
Commits
00ed6533
Commit
00ed6533
authored
Feb 07, 2021
by
张彦钊
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Merge branch 'zhao22' into 'master'
add See merge request
!93
parents
9fcd4762
d57b404d
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1 changed file
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26 additions
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22 deletions
+26
-22
hospital_name_short.py
local/hospital_name_short.py
+26
-22
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local/hospital_name_short.py
View file @
00ed6533
...
@@ -30,7 +30,7 @@ def name_short():
...
@@ -30,7 +30,7 @@ def name_short():
name_list
=
pd
.
DataFrame
(
list
(
result
))[
0
]
.
values
.
tolist
()
name_list
=
pd
.
DataFrame
(
list
(
result
))[
0
]
.
values
.
tolist
()
db
.
close
()
db
.
close
()
print
(
name_list
[:
10
])
print
(
name_list
[:
10
])
names
=
[
"美容院"
,
"门诊部"
,
"医疗"
,
"门诊"
,
"研究所"
,
"有限"
,
"公司"
,
"医学"
,
"诊所"
,
"中心"
,
"美容"
,
"医院"
,
"整形"
,
"外科"
,
names
=
[
"
中医"
,
"
美容院"
,
"门诊部"
,
"医疗"
,
"门诊"
,
"研究所"
,
"有限"
,
"公司"
,
"医学"
,
"诊所"
,
"中心"
,
"美容"
,
"医院"
,
"整形"
,
"外科"
,
"集团"
,
"卫生"
,
"机构"
,
"专业"
,
"皮肤"
,
"管理"
,
"集团"
,
"卫生"
,
"机构"
,
"专业"
,
"皮肤"
,
"管理"
,
"光学"
,
"国际"
,
"连锁"
,
"综合"
,
"专科"
,
"市"
,
"
\
*"
,
"
\
•"
]
"光学"
,
"国际"
,
"连锁"
,
"综合"
,
"专科"
,
"市"
,
"
\
*"
,
"
\
•"
]
location
=
[
"街道"
,
"社区"
,]
location
=
[
"街道"
,
"社区"
,]
...
@@ -52,29 +52,33 @@ def name_short():
...
@@ -52,29 +52,33 @@ def name_short():
pass
pass
else
:
else
:
first_names
.
append
(
name
)
first_names
.
append
(
name
)
city_tag
=
"flag"
if
"第"
in
name
:
for
city
in
city_list
:
if
city
in
name
:
city_tag
=
city
name
=
re
.
sub
(
city
,
''
,
name
)
for
word
in
stop_words
:
name
=
re
.
sub
(
word
,
''
,
name
)
# 去除\t
name
=
re
.
sub
(
r'\t'
,
""
,
name
)
# 去除 中文括号( )
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除 英文括号( )
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除 左英文括号,右中文括号
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
if
city_tag
!=
"flag"
and
name
!=
""
:
third_names
.
append
(
city_tag
+
name
)
else
:
third_names
.
append
(
"无"
)
if
name
!=
""
:
second_names
.
append
(
name
)
second_names
.
append
(
name
)
third_names
.
append
(
name
)
else
:
else
:
second_names
.
append
(
first_names
[
-
1
])
city_tag
=
"flag"
for
city
in
city_list
:
if
city
in
name
:
city_tag
=
city
name
=
re
.
sub
(
city
,
''
,
name
)
for
word
in
stop_words
:
name
=
re
.
sub
(
word
,
''
,
name
)
# 去除\t
name
=
re
.
sub
(
r'\t'
,
""
,
name
)
# 去除 中文括号( )
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除 英文括号( )
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除 左英文括号,右中文括号
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
if
city_tag
!=
"flag"
and
name
!=
""
:
third_names
.
append
(
city_tag
+
name
)
else
:
third_names
.
append
(
"无"
)
if
name
!=
""
:
second_names
.
append
(
name
)
else
:
second_names
.
append
(
first_names
[
-
1
])
df
=
pd
.
DataFrame
()
df
=
pd
.
DataFrame
()
df
[
'old_name'
]
=
first_names
df
[
'old_name'
]
=
first_names
...
...
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