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ffm-baseline
Commits
d0a857c9
Commit
d0a857c9
authored
Aug 16, 2018
by
张彦钊
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c6881729
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diaryCandidateSet.py
diaryCandidateSet.py
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diaryCandidateSet.py
View file @
d0a857c9
...
...
@@ -52,35 +52,35 @@ def pool_method(i,sql,allCitiesTop3000):
# 把城市列表切分成n份,然后拼接成一个列表
def
split_cityList
(
cityList
,
n
):
l
=
len
(
cityList
)
step
=
np
.
rint
(
l
/
n
)
new_list
=
[]
x
=
0
while
True
:
if
x
+
step
<
:
data_list
.
append
(
data
.
iloc
[
x
:
x
+
step
])
x
=
x
+
step
+
1
else
:
data_list
.
append
(
data
.
iloc
[
x
:
data
.
__len__
()])
break
#
def split_cityList(cityList,n):
#
l = len(cityList)
#
step = np.rint(l/n)
#
new_list = []
#
x = 0
#
while True:
#
if x + step < :
#
data_list.append(data.iloc[x:x + step])
#
x = x + step + 1
#
else:
#
data_list.append(data.iloc[x:data.__len__()])
#
break
# 多线程方法获取全国城市热门日记
def
multi_get_eachCityDiaryTop3000
(
processes
):
cityList
=
get_cityList
()
allCitiesTop3000
=
get_allCitiesDiaryTop3000
()
pool
=
Pool
(
processes
)
for
i
in
range
(
len
(
data_list
)):
data_list
[
i
]
=
pool
.
apply_async
(
self
.
pool_function
,
(
data_list
[
i
],
t
,))
result_map
=
{}
for
i
in
data_list
:
result_map
.
update
(
i
.
get
())
pool
.
close
()
pool
.
join
()
#
def multi_get_eachCityDiaryTop3000(processes):
#
cityList = get_cityList()
#
allCitiesTop3000 = get_allCitiesDiaryTop3000()
#
#
pool = Pool(processes)
#
for i in range(len(data_list)):
#
data_list[i] = pool.apply_async(self.pool_function, (data_list[i], t,))
#
#
result_map = {}
#
for i in data_list:
#
result_map.update(i.get())
#
pool.close()
#
pool.join()
def
get_eachCityDiaryTop3000
():
...
...
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