Downlaod Vlaidation
Browse files- appStore/target.py +4 -3
appStore/target.py
CHANGED
|
@@ -101,14 +101,15 @@ def app():
|
|
| 101 |
def target_display():
|
| 102 |
if 'key1' in st.session_state:
|
| 103 |
df = st.session_state.key1
|
| 104 |
-
|
| 105 |
-
hits = df[df['Target Label'] == 'TARGET']
|
| 106 |
_lab_dict = {
|
| 107 |
'LABEL_0':'NEGATIVE',
|
| 108 |
'LABEL_1':'NOT GHG',
|
| 109 |
'LABEL_2':'GHG',
|
| 110 |
}
|
| 111 |
-
|
|
|
|
|
|
|
| 112 |
range_val = min(5,len(hits))
|
| 113 |
if range_val !=0:
|
| 114 |
count_target = sum(hits['Target Label'] == 'TARGET')
|
|
|
|
| 101 |
def target_display():
|
| 102 |
if 'key1' in st.session_state:
|
| 103 |
df = st.session_state.key1
|
| 104 |
+
|
|
|
|
| 105 |
_lab_dict = {
|
| 106 |
'LABEL_0':'NEGATIVE',
|
| 107 |
'LABEL_1':'NOT GHG',
|
| 108 |
'LABEL_2':'GHG',
|
| 109 |
}
|
| 110 |
+
df['GHG Label'] = df['GHG Label'].apply(lambda i: _lab_dict[i])
|
| 111 |
+
hits = df[df['Target Label'] == 'TARGET']
|
| 112 |
+
# hits['GHG Label'] = hits['GHG Label'].apply(lambda i: _lab_dict[i])
|
| 113 |
range_val = min(5,len(hits))
|
| 114 |
if range_val !=0:
|
| 115 |
count_target = sum(hits['Target Label'] == 'TARGET')
|