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app.py

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+#%%
+import pandas as pd
+import streamlit as st
+import plotly.graph_objects as go
+
+df = pd.read_excel("preprocessed_geodata.xlsx")
+def get_lat_lon(row):
+    row = eval(row['result_dadata'])[0]
+    lat = row['geo_lat']
+    lon = row['geo_lon']
+    adress = row['result']
+
+    return lat, lon, adress
+
+def get_colors(row):
+    if row > 1200:
+        return 'red'
+    elif row <= 1200 and row > 800:
+        return 'blue'
+    elif row <= 800 and row > 400:
+        return 'yellow'
+    elif row <= 400 and row > 200:
+        return 'green'
+    elif row <= 200 and row > 100:
+        return 'purple'
+    elif row <= 100 and row > 30:
+        return 'orange'
+    else:
+        return 'black'
+
+df[['lat', 'lon', 'adress']] = df.apply(get_lat_lon, axis=1, result_type='expand')
+
+viz_df = df[['lpu_name','lat', 'lon', 'adress', 'Число разных элементов в столбце LETTER_ID']].copy()
+viz_df[['lat','lon']] = viz_df[['lat','lon']].astype(float)
+viz_df['colors'] = viz_df['Число разных элементов в столбце LETTER_ID'].apply(get_colors)
+
+text_series ="Название клиники: "+ viz_df['lpu_name'] + "<br>" + "Адрес: " + viz_df["adress"] + "<br>" + "Количество гарантийных писем:" + viz_df['Число разных элементов в столбце LETTER_ID'].astype(str)
+#%%
+fig_bubbles_coords = go.Figure(data=go.Scattermapbox(
+    lat=viz_df['lat'],
+    lon=viz_df['lon'],
+    mode='markers',
+    marker=go.scattermapbox.Marker(
+        size=viz_df['Число разных элементов в столбце LETTER_ID'],
+        color='red',
+        sizemode='area',
+        sizeref=5,
+        opacity=0.6
+    ),
+    text=text_series,
+))
+
+fig_bubbles_coords.update_layout(
+    mapbox_style='open-street-map',
+    autosize=True,
+    hovermode='closest',
+    showlegend=False,
+    mapbox=dict(
+        center=dict(lat=viz_df['lat'].mean(), lon=viz_df['lon'].mean()),
+        zoom=9
+    ),
+    width=900,
+    height=900
+)
+
+# fig_bubbles_coords.show()
+#%%
+fig_bubbles = go.Figure(data=go.Scattermapbox(
+    lat=viz_df['lat'],
+    lon=viz_df['lon'],
+    mode='markers',
+    marker=go.scattermapbox.Marker(
+        size=viz_df['Число разных элементов в столбце LETTER_ID'],
+        color='red',
+        sizemode='area',
+        sizeref=5,
+        opacity=0.6,
+    ),
+    customdata=text_series,
+))
+
+fig_bubbles.update_layout(
+    mapbox_style='open-street-map',
+    autosize=True,
+    hovermode='closest',
+    showlegend=False,
+    mapbox=dict(
+        center=dict(lat=viz_df['lat'].mean(), lon=viz_df['lon'].mean()),
+        zoom=9
+    ),
+    width=900,
+    height=900
+)
+
+fig_bubbles.update_traces(hovertemplate='<b>%{customdata}</b>')
+
+# fig_bubbles.show()
+#%%
+fig_heatbar = go.Figure(data=go.Scattermapbox(
+    lat=viz_df['lat'],
+    lon=viz_df['lon'],
+    mode='markers',
+    marker=go.scattermapbox.Marker(
+        color=viz_df['Число разных элементов в столбце LETTER_ID'],
+        sizemode='area',
+        sizeref=5,
+        opacity=1,
+        colorscale='rdylbu',  # Градиент цветов от светло-синего до темно-синего
+        colorbar=dict(title='Число разных элементов в столбце LETTER_ID')
+    ),
+    customdata=text_series,
+))
+
+fig_heatbar.update_layout(
+    mapbox_style='open-street-map',
+    autosize=True,
+    hovermode='closest',
+    showlegend=False,
+    mapbox=dict(
+        center=dict(lat=viz_df['lat'].mean(), lon=viz_df['lon'].mean()),
+        zoom=9
+    ),
+    width=900,
+    height=900
+)
+
+fig_heatbar.update_traces(hovertemplate='<b>%{customdata}</b>')
+
+# fig_heatbar.show()
+#%%
+dct_colors = {'red':'больше 1200',
+              'blue':'1200-800',
+              'yellow':'800-400',
+              'green':'400-200',
+              'purple':'200-100',
+              'orange':'100-30',
+              'black':'меньше 30'}
+colors = ['red', 'blue', 'yellow', 'green','purple','orange','black']
+
+fig_colored = go.Figure()
+
+for color in colors:
+    temp_df = viz_df[viz_df['colors'] == color]
+    text_series_temp = "Название клиники: "+ temp_df['lpu_name'] + "<br>" + "Адрес: " + temp_df["adress"] + "<br>" + "Количество гарантийных писем:" + temp_df['Число разных элементов в столбце LETTER_ID'].astype(str)
+    fig_colored.add_trace(go.Scattermapbox(
+        lat=temp_df['lat'],
+        lon=temp_df['lon'],
+        mode='markers',
+        marker=go.scattermapbox.Marker(
+            color=color,
+            sizemode='area',
+            sizeref=5,
+            opacity=1,
+        ),
+        name=dct_colors[color],
+        customdata=text_series_temp,
+    ))
+
+
+fig_colored.update_layout(
+    mapbox_style='open-street-map',
+    autosize=True,
+    hovermode='closest',
+    showlegend=True,
+    mapbox=dict(
+        center=dict(lat=viz_df['lat'].mean(), lon=viz_df['lon'].mean()),
+        zoom=9
+    ),
+    width=900,
+    height=900
+)
+fig_colored.update_traces(hovertemplate='<b>%{customdata}</b>')
+
+
+# fig_colored.show()
+# %%
+viz_df = viz_df.rename(columns={"Число разных элементов в столбце LETTER_ID":"Число_ГП"})
+#%%
+st.dataframe(data=viz_df[['lpu_name', 'Число_ГП', 'adress']])
+# st.plotly_chart(fig_bubbles_coords)
+st.plotly_chart(fig_bubbles)
+st.plotly_chart(fig_heatbar)
+st.plotly_chart(fig_colored)
+# st.table(df)

requirements.txt

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+numpy
+pandas
+matplotlib
+seaborn
+plotly
+openpyxl