Update app.py
Browse files
app.py
CHANGED
|
@@ -99,7 +99,7 @@ moving_avg_slider = pn.widgets.IntSlider(name='Moving Average Window', start=1,
|
|
| 99 |
# Visualization function
|
| 100 |
@pn.depends(subgroup_select.param.value, date_slider.param.value, moving_avg_slider.param.value)
|
| 101 |
def create_plot(subgroup, date_range, moving_av_window):
|
| 102 |
-
|
| 103 |
data = df2[(df2['subgroup'] == subgroup) & (df2['choice'] == "approve") & (pd.to_datetime(df2['timestamp']) >= pd.to_datetime(start_date)) & (pd.to_datetime(df2['timestamp']) <= pd.to_datetime(end_date))]
|
| 104 |
|
| 105 |
min_rate = df2['rate'].min()
|
|
|
|
| 99 |
# Visualization function
|
| 100 |
@pn.depends(subgroup_select.param.value, date_slider.param.value, moving_avg_slider.param.value)
|
| 101 |
def create_plot(subgroup, date_range, moving_av_window):
|
| 102 |
+
start_date, end_date = date_range[0], date_range[1] # Convert to date
|
| 103 |
data = df2[(df2['subgroup'] == subgroup) & (df2['choice'] == "approve") & (pd.to_datetime(df2['timestamp']) >= pd.to_datetime(start_date)) & (pd.to_datetime(df2['timestamp']) <= pd.to_datetime(end_date))]
|
| 104 |
|
| 105 |
min_rate = df2['rate'].min()
|