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esde
machine-learning
AQ-Bench
Commits
adc7fe1e
Commit
adc7fe1e
authored
4 years ago
by
Clara Betancourt
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data capture evaluations
parent
e4db63ee
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Changes
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prepare.sh
+1
-1
1 addition, 1 deletion
prepare.sh
source/dataset_retrieval.py
+39
-1
39 additions, 1 deletion
source/dataset_retrieval.py
with
40 additions
and
2 deletions
prepare.sh
+
1
−
1
View file @
adc7fe1e
...
@@ -5,7 +5,7 @@
...
@@ -5,7 +5,7 @@
# venv is created in this directory.
# venv is created in this directory.
# check if we are really in the ozone-mapping directory
# check if we are really in the ozone-mapping directory
S
=
"
ozone-mapping
"
S
=
"
aq-bench
"
if
[[
$(
pwd
)
==
*
$S
]]
if
[[
$(
pwd
)
==
*
$S
]]
then
then
echo
"Prepare..."
echo
"Prepare..."
...
...
This diff is collapsed.
Click to expand it.
source/dataset_retrieval.py
+
39
−
1
View file @
adc7fe1e
...
@@ -419,6 +419,43 @@ class MetricsRow():
...
@@ -419,6 +419,43 @@ class MetricsRow():
+
'
'
+
print_metric
+
'
:
'
+
str
(
self
.
row
[
print_metric
]))
+
'
'
+
print_metric
+
'
:
'
+
str
(
self
.
row
[
print_metric
]))
def
data_capture
():
"""
A simple function to look at the data capture of our metrics.
"""
import
pdb
# df = pd.read_csv(resources_dir+'yearly_metrics.csv')
# df['hourly_samples'] = [0] * len(df)
# df['capture'] = [0] * len(df)
df
=
pd
.
read_csv
(
resources_dir
+
'
intermediate_at_cap5500.csv
'
)
for
idx
,
row
in
df
.
iterrows
():
if
idx
>
5500
:
id_tuple
=
row
[
'
o3_series_id
'
]
id_string_list
=
[
str
(
id_
)
for
id_
in
eval
(
id_tuple
)]
query
=
f
"""
SELECT
datetime, value
FROM o3_hourly
WHERE id IN (
{
'
,
'
.
join
(
id_string_list
)
}
)
AND datetime between
'
2010-01-01 00:00:00
'
AND
'
2014-12-31 23:59:59
'
;
"""
result
=
query_db
(
query
)
result
.
drop_duplicates
(
subset
=
'
datetime
'
,
inplace
=
True
,
ignore_index
=
True
)
count
=
len
(
result
)
df
.
loc
[
idx
,
'
hourly_samples
'
]
=
count
df
.
loc
[
idx
,
'
capture
'
]
=
count
/
43824
print
(
count
,
count
/
43824
)
if
(
idx
>
1
)
and
(
idx
%
500
==
0
):
df
.
to_csv
(
resources_dir
+
f
'
intermediate_at_cap
{
idx
}
.csv
'
,
index
=
False
)
df
.
to_csv
(
resources_dir
+
f
'
yearly_metrics_cap.csv
'
,
index
=
False
)
pdb
.
set_trace
()
def
full_aqbench
():
def
full_aqbench
():
"""
"""
start one retrieval.
start one retrieval.
...
@@ -458,4 +495,5 @@ if __name__ == '__main__':
...
@@ -458,4 +495,5 @@ if __name__ == '__main__':
logging
.
StreamHandler
()])
logging
.
StreamHandler
()])
# start retrieval
# start retrieval
full_aqbench
()
# full_aqbench()
data_capture
()
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