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ML
ffm-baseline
Commits
df53b81f
Commit
df53b81f
authored
Feb 20, 2020
by
张彦钊
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make_data.py
make_data.py
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make_data.py
View file @
df53b81f
...
@@ -153,8 +153,8 @@ def hospital():
...
@@ -153,8 +153,8 @@ def hospital():
result
=
cursor
.
fetchall
()
result
=
cursor
.
fetchall
()
db
.
close
()
db
.
close
()
tmp
=
pd
.
DataFrame
(
list
(
result
))
tmp
=
pd
.
DataFrame
(
list
(
result
))
name
=
[
"merchant_id"
,
"doctor_ad_money_30_days"
,
"expand_rechange_amount_30"
,
"service
_pv_30"
,
name
=
[
"merchant_id"
,
"doctor_ad_money_30_days"
,
"service_pv_30"
,
"mexpert_pv_30"
,
"organization
_pv_30"
,
"
mexpert_pv_30"
,
"organization_pv_30"
,
"
doctor_discount_30_days"
]
"doctor_discount_30_days"
]
tmp
=
tmp
.
rename
(
columns
=
dict
(
zip
(
list
(
range
(
len
(
name
))),
name
)))
tmp
=
tmp
.
rename
(
columns
=
dict
(
zip
(
list
(
range
(
len
(
name
))),
name
)))
print
(
tmp
.
head
(
6
))
print
(
tmp
.
head
(
6
))
...
@@ -163,9 +163,9 @@ def hospital():
...
@@ -163,9 +163,9 @@ def hospital():
df
=
pd
.
merge
(
df
,
tmp
,
on
=
'merchant_id'
)
df
=
pd
.
merge
(
df
,
tmp
,
on
=
'merchant_id'
)
for
i
in
[
"hospital_exposure_pv_30"
,
"service_exposure_pv_30"
,
"expert_exposure_pv_30"
,
for
i
in
[
"hospital_exposure_pv_30"
,
"service_exposure_pv_30"
,
"expert_exposure_pv_30"
,
"service_ctr_30"
,
"hospital_ctr_30"
,
"expert_ctr_30"
,
"service_ctr_30"
,
"hospital_ctr_30"
,
"expert_ctr_30"
,
"budan_payment_30_days"
,
"doctor_ad_money_30_days"
,
"service
_pv_30"
,
"doctor_ad_money_30_days"
,
"service_pv_30"
,
"mexpert_pv_30"
,
"organization
_pv_30"
,
"
mexpert_pv_30"
,
"organization_pv_30"
,
"budan_payment_30_days"
,
"
doctor_discount_30_days"
]:
"doctor_discount_30_days"
]:
df
[
i
]
=
df
[
i
]
.
astype
(
"float"
)
df
[
i
]
=
df
[
i
]
.
astype
(
"float"
)
df
[
"all_exposure"
]
=
df
[
"hospital_exposure_pv_30"
]
+
df
[
"service_exposure_pv_30"
]
+
df
[
"expert_exposure_pv_30"
]
df
[
"all_exposure"
]
=
df
[
"hospital_exposure_pv_30"
]
+
df
[
"service_exposure_pv_30"
]
+
df
[
"expert_exposure_pv_30"
]
...
...
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