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import streamlit as st |
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import numpy as np |
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import pandas as pd |
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import seaborn as sn |
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import matplotlib.pyplot as plt |
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import plotly.express as px |
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st.set_option('deprecation.showPyplotGlobalUse', False) |
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st.set_page_config(layout='wide') |
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df = pd.read_csv('india.csv') |
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list_of_states = list(df['State'].unique()) |
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list_of_states.insert(0, 'Overall India') |
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selected_state = st.sidebar.selectbox('Select a state', list_of_states) |
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primary = st.sidebar.selectbox('Select Primary Parameter', |
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sorted(df.columns[5:])) |
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secondary = st.sidebar.selectbox('Select Secondary Parameter', |
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sorted(df.columns[5:])) |
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plot = st.sidebar.button('Plot Graph') |
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if plot: |
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st.text('Size represents Primary Parameter') |
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st.text('Color represents Secondary Parameter') |
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if selected_state == 'Overall India': |
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fig = px.scatter_mapbox(df,lat='Latitude',lon='Longitude', |
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size=primary,color=secondary,zoom=4,size_max=35, |
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mapbox_style='carto-positron', width=1200,height=700,hover_name='District') |
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st.plotly_chart(fig,use_container_width=True) |
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else: |
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state_df = df[df.State == selected_state] |
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fig = px.scatter_mapbox(state_df,lat='Latitude',lon='Longitude', |
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size=primary,color=secondary,zoom=6,size_max=35, |
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mapbox_style='carto-positron', width=1200,height=700,hover_name='District') |
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st.plotly_chart(fig,use_container_width=True) |
