Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -7,6 +7,8 @@ from matplotlib.ticker import MultipleLocator
|
|
| 7 |
from pygam import GAM
|
| 8 |
from rapidfuzz import fuzz, utils
|
| 9 |
|
|
|
|
|
|
|
| 10 |
|
| 11 |
data = pd.read_parquet('var_meta.parquet')
|
| 12 |
subject = pd.read_parquet('subject_meta.parquet')
|
|
@@ -14,7 +16,6 @@ count_meta = pd.read_parquet('count_meta.parquet')
|
|
| 14 |
dt_summary1 = pd.read_parquet('dt_summary1_alpaca.parquet')
|
| 15 |
|
| 16 |
def highlight(s, query):
|
| 17 |
-
# Find the index of the query substring in the string
|
| 18 |
index = s.find(query)
|
| 19 |
if index != -1:
|
| 20 |
result = s[:index] + '<span style="background-color: #FFFF00">' + query + '</span>' + s[index + len(query):]
|
|
@@ -73,9 +74,6 @@ def main():
|
|
| 73 |
st.markdown("Junsol Kim, Byungkyu Lee<br />Paper: https://arxiv.org/abs/2305.09620", unsafe_allow_html=True)
|
| 74 |
n_var_per_page = 25
|
| 75 |
n_cards_per_row = 5
|
| 76 |
-
current_variable = None
|
| 77 |
-
if 'current_var' not in st.session_state:
|
| 78 |
-
st.session_state['current_var'] = None
|
| 79 |
|
| 80 |
if st.session_state['current_var'] is None:
|
| 81 |
col1, col2, col3 = st.columns([3, 1, 1])
|
|
@@ -123,6 +121,7 @@ def main():
|
|
| 123 |
else:
|
| 124 |
goback = st.button('Go back', on_click=show_search)
|
| 125 |
var = st.session_state['current_var']
|
|
|
|
| 126 |
tab_pred = dt_summary1.loc[(dt_summary1.variable == var) & (dt_summary1.pred_type == 'rescale')]
|
| 127 |
tab_obs = dt_summary1.loc[(dt_summary1.variable == var) & (dt_summary1.pred_type == 'obsbin')]
|
| 128 |
tab_obs = tab_obs.merge(tab_pred[['year']], how='right').rename({'mean': 'obs_mean', 'lci': 'obs_lci', 'uci': 'obs_uci'}, axis=1)
|
|
|
|
| 7 |
from pygam import GAM
|
| 8 |
from rapidfuzz import fuzz, utils
|
| 9 |
|
| 10 |
+
if 'current_var' not in st.session_state:
|
| 11 |
+
st.session_state['current_var'] = None
|
| 12 |
|
| 13 |
data = pd.read_parquet('var_meta.parquet')
|
| 14 |
subject = pd.read_parquet('subject_meta.parquet')
|
|
|
|
| 16 |
dt_summary1 = pd.read_parquet('dt_summary1_alpaca.parquet')
|
| 17 |
|
| 18 |
def highlight(s, query):
|
|
|
|
| 19 |
index = s.find(query)
|
| 20 |
if index != -1:
|
| 21 |
result = s[:index] + '<span style="background-color: #FFFF00">' + query + '</span>' + s[index + len(query):]
|
|
|
|
| 74 |
st.markdown("Junsol Kim, Byungkyu Lee<br />Paper: https://arxiv.org/abs/2305.09620", unsafe_allow_html=True)
|
| 75 |
n_var_per_page = 25
|
| 76 |
n_cards_per_row = 5
|
|
|
|
|
|
|
|
|
|
| 77 |
|
| 78 |
if st.session_state['current_var'] is None:
|
| 79 |
col1, col2, col3 = st.columns([3, 1, 1])
|
|
|
|
| 121 |
else:
|
| 122 |
goback = st.button('Go back', on_click=show_search)
|
| 123 |
var = st.session_state['current_var']
|
| 124 |
+
print(var)
|
| 125 |
tab_pred = dt_summary1.loc[(dt_summary1.variable == var) & (dt_summary1.pred_type == 'rescale')]
|
| 126 |
tab_obs = dt_summary1.loc[(dt_summary1.variable == var) & (dt_summary1.pred_type == 'obsbin')]
|
| 127 |
tab_obs = tab_obs.merge(tab_pred[['year']], how='right').rename({'mean': 'obs_mean', 'lci': 'obs_lci', 'uci': 'obs_uci'}, axis=1)
|