Borya-Goldarb commited on
Commit
7eb896a
·
verified ·
1 Parent(s): 521377b

Update pages/market_rent_estimation.py

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Files changed (1) hide show
  1. pages/market_rent_estimation.py +9 -37
pages/market_rent_estimation.py CHANGED
@@ -28,46 +28,18 @@ def main():
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  positions = np.nonzero(mask)[0]
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  distances_matrix_filtered = distances_matrix[np.ix_(positions, positions)]
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- row_index = df_properties_filtered.index.get_loc(st.session_state['user_select_value'])
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- distances = distances_matrix_filtered[row_index]
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- sorted_indices = np.argsort(distances)
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- sorted_indexes = df_properties_filtered.index[sorted_indices]
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- reordered_df_properties_filtered = df_properties_filtered.loc[sorted_indexes].reset_index()
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  with tab1:
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- # st.title('Combined estimation')
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- # if 'user_select_value' not in st.session_state:
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- # st.session_state['user_select_value'] = ""
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- # if 'year_buit' not in st.session_state:
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- # st.session_state['year_buit'] = ""
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- # if 'submarket_val' not in st.session_state:
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- # st.session_state['submarket_val'] = ""
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- # if 'market_val' not in st.session_state:
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- # st.session_state['market_val'] = ""
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-
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- # box_contents = [
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- # {"header": "Address", "content": st.session_state['user_select_value']},
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- # {"header": "LSF", "content": str(st.session_state['property_lsf'])},
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- # {"header": "Sub-Market", "content": st.session_state['submarket_val']},
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- # {"header": "Market", "content": st.session_state['market_val']}
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- # ]
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-
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- # # Divide the layout into four columns
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- # col1, col2, col3, col4 = st.columns(4)
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-
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- # for i, col in enumerate([col1, col2, col3, col4]):
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- # col.markdown(f"""
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- # <div style="padding: 20px; margin: 10px; text-align: center;">
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- # <h3 style="font-size: small;">{box_contents[i]['header']}</h3>
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- # <p style="font-size: small;">{box_contents[i]['content']}</p>
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- # </div>
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- # """, unsafe_allow_html=True)
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- st.write('Comps list:')
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- # display_df = st.table(df_properties_filtered)
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- st.write('Comps list:', len(reordered_df_properties_filtered))
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- st.write(reordered_df_properties_filtered)
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- st.write(distances_matrix_filtered[row_index])
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  with tab2:
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  st.write('Comps list:')
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  st.write('min_property_size_perc:', st.session_state['min_property_size_perc'], min_size)
 
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  positions = np.nonzero(mask)[0]
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  distances_matrix_filtered = distances_matrix[np.ix_(positions, positions)]
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+ # row_index = df_properties_filtered.index.get_loc(st.session_state['user_select_value'])
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+ # distances = distances_matrix_filtered[row_index]
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+ # sorted_indices = np.argsort(distances)
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+ # sorted_indexes = df_properties_filtered.index[sorted_indices]
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+ # reordered_df_properties_filtered = df_properties_filtered.loc[sorted_indexes].reset_index()
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  with tab1:
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+ st.write(st.session_state['user_select_value'])
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+ st.write('Comps list:', len(df_properties_filtered))
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+ st.write(df_properties_filtered)
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+ st.write(distances_matrix_filtered)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  with tab2:
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  st.write('Comps list:')
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  st.write('min_property_size_perc:', st.session_state['min_property_size_perc'], min_size)