RISHABH MONDAL
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -4,27 +4,27 @@ import plotly.express as px
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import plotly.graph_objs as go
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# Load the CSV file
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# file = "brick_kiln_lucknow_v1.csv" # Replace with the correct path to your CSV file
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st.markdown("<h2 style='text-align: center;'>Brick Kiln Location and Conversion Visualization</h2>", unsafe_allow_html=True)
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# Dropdown to select the location
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location = st.selectbox("Select Location", ["Lucknow", "Delhi", "Ahmedabad"])
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# Determine the file path based on selection
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if location == "Lucknow":
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file = "brick_kiln_lucknow_v1.csv"
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center_lat, center_lon = 26.8467, 80.9462
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elif location == "Delhi":
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file = "brick_kiln_delhi_v1.csv"
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center_lat, center_lon = 28.7041, 77.1025
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else: # Ahmedabad
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file = "brick_kiln_ahmedabad_v2.csv" # Replace with the actual path
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center_lat, center_lon = 23.0225, 72.5714
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data = pd.read_csv(file)
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# Streamlit app title
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# Slider to select the year
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year_selected = st.slider("Select the Year", min_value=int(data["Year made"].min()), max_value=int(data["Year made"].max()), value=int(data["Year made"].min()), step=1)
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@@ -45,6 +45,8 @@ def get_status(row, year_selected):
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else:
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return "zigzag"
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# Function to classify each kiln based on the selected year
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def classify_kiln(row, year_selected):
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if row["Year made"] > year_selected:
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@@ -88,22 +90,53 @@ else:
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# Plotting the filtered data points on a map, with different colors for statuses
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fig_filtered = px.scatter_mapbox(
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data,
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lat="Lat",
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lon="Lon",
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color="Status",
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color_discrete_map={"fcbk": "blue", "converted": "green", "zigzag": "red"}, # Set colors for fcbk, converted, and zigzag kilns
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mapbox_style="carto-positron",
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hover_name="Type",
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zoom=8.5,
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center={"lat": center_lat, "lon": center_lon},
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title=f"Brick Kiln Locations and Status up to Year {year_selected}",
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height=600,
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width=600
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)
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# # Display the map in Streamlit
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# st.plotly_chart(fig_filtered)
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@@ -136,8 +169,8 @@ brick_kilns_zigzag_delhi = [4,6,6,6,7,7,28,43,155,382,648,721,759]
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#define for Ahmedabad
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years_ahmedabad = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]
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brick_kilns_total_ahmedabad = [74,92,115,136,140,155,155,
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brick_kilns_fcb_ahmedabad = [74,92,115,136,140,155,155,
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brick_kilns_zigzag_ahmedabad = [0,0,0,0,0,0,0,0,0,0,0,1,0]
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# Select the dataset based on the location
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import plotly.graph_objs as go
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# Load the CSV file
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# file = "/home/rishabh.mondal/Brick-Kilns-project/albk_rishabh/albk_v2/YOLO_LOCALIZATION/Compliance-app/brick_kiln_lucknow_v1.csv" # Replace with the correct path to your CSV file
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# Dropdown to select the location
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location = st.selectbox("Select Location", ["Lucknow", "Delhi", "Ahmedabad"])
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# Determine the file path based on selection
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if location == "Lucknow":
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file = "/home/rishabh.mondal/Brick-Kilns-project/albk_rishabh/albk_v2/YOLO_LOCALIZATION/Compliance-app/brick_kiln_lucknow_v1.csv"
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center_lat, center_lon = 26.8467, 80.9462
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elif location == "Delhi":
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file = "/home/rishabh.mondal/Brick-Kilns-project/albk_rishabh/albk_v2/YOLO_LOCALIZATION/Compliance-app/brick_kiln_delhi_v1.csv"
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center_lat, center_lon = 28.7041, 77.1025
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else: # Ahmedabad
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file = "/home/rishabh.mondal/Brick-Kilns-project/albk_rishabh/albk_v2/YOLO_LOCALIZATION/Compliance-app/brick_kiln_ahmedabad_v2.csv" # Replace with the actual path
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center_lat, center_lon = 23.0225, 72.5714
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data = pd.read_csv(file)
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# Streamlit app title
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st.markdown("<h2 style='text-align: center;'>Brick Kiln Location and Conversion Visualization</h2>", unsafe_allow_html=True)
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# Slider to select the year
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year_selected = st.slider("Select the Year", min_value=int(data["Year made"].min()), max_value=int(data["Year made"].max()), value=int(data["Year made"].min()), step=1)
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else:
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return "zigzag"
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# Function to classify each kiln based on the selected year
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def classify_kiln(row, year_selected):
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if row["Year made"] > year_selected:
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if location == "Lucknow":
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fig_filtered = px.scatter_mapbox(
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data,
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lat="Lat",
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lon="Lon",
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color="Status",
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color_discrete_map={"fcbk": "blue", "converted": "green", "zigzag": "red"}, # Set colors for fcbk, converted, and zigzag kilns
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mapbox_style="carto-positron",
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hover_name="Type",
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zoom=8.5,
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center={"lat": center_lat, "lon": center_lon},
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title=f"Brick Kiln Locations and Status up to Year {year_selected}",
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height=600,
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width=600
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)
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elif location == "Delhi":
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fig_filtered = px.scatter_mapbox(
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data,
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lat="Lat",
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lon="Lon",
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color="Status1",
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color_discrete_map={"FCBK": "blue", "converted": "green", "Zigzag": "red"}, # Set colors for fcbk, converted, and zigzag kilns
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mapbox_style="carto-positron",
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hover_name="Type",
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zoom=8.5,
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center={"lat": center_lat, "lon": center_lon},
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title=f"Brick Kiln Locations and Status up to Year {year_selected}",
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height=600,
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width=600
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)
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else:
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fig_filtered = px.scatter_mapbox(
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data,
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lat="Lat",
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lon="Lon",
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color="Status",
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color_discrete_map={"fcbk": "blue", "zigzag": "red"}, # Set colors for fcbk, converted, and zigzag kilns
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mapbox_style="carto-positron",
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hover_name="Type",
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zoom=8.5,
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center={"lat": center_lat, "lon": center_lon},
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title=f"Brick Kiln Locations and Status up to Year {year_selected}",
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height=600,
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width=600
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)
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# # Display the map in Streamlit
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# st.plotly_chart(fig_filtered)
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#define for Ahmedabad
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years_ahmedabad = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]
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brick_kilns_total_ahmedabad = [74,92,115,136,140,155,155,156,156,164,165,169,172]
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brick_kilns_fcb_ahmedabad = [74,92,115,136,140,155,155,156,156,164,165,168,172]
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brick_kilns_zigzag_ahmedabad = [0,0,0,0,0,0,0,0,0,0,0,1,0]
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# Select the dataset based on the location
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