Update app.py

app.py

@@ -121,38 +121,95 @@
 #             excel_data = to_excel(df_to_export)
 #             st.download_button(label='📥 Download Excel', data=excel_data, file_name=f'{city}_forecast.xlsx', mime='application/vnd.ms-excel')
 
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+# import streamlit as st
+# import numpy as np
+# import matplotlib.pyplot as plt
+
+# # Sample data for multiple plots
+# data = [(np.linspace(0, 10, 10), np.sin(np.linspace(0, 10, 10))) for _ in range(3)]
+
+# # Initialize session state
+# if 'current_plot_index' not in st.session_state:
+#     st.session_state['current_plot_index'] = 0
+
+# def update_plot(index, x, y):
+#     plt.figure()
+#     plt.plot(x, y, marker='o')
+#     plt.title(f"Plot {index+1}")
+#     st.pyplot(plt)
+
+# def next_plot():
+#     st.session_state['current_plot_index'] = (st.session_state['current_plot_index'] + 1) % len(data)
+
+# # Display the plot
+# index = st.session_state['current_plot_index']
+# x, y = data[index]
+# update_plot(index, x, y)
+
+# # Select and update point
+# point_index = st.number_input('Point Index', min_value=0, max_value=len(x)-1, step=1)
+# new_value = st.number_input('New Y Value', value=y[point_index])
+# if st.button('Update Point'):
+#     y[point_index] = new_value
+#     update_plot(index, x, y)
+
+# # Next plot button
+# if st.button('Next Plot'):
+#     next_plot()
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+import plotly.express as px
 import streamlit as st
-import numpy as np
-import matplotlib.pyplot as plt
-
-# Sample data for multiple plots
-data = [(np.linspace(0, 10, 10), np.sin(np.linspace(0, 10, 10))) for _ in range(3)]
-
-# Initialize session state
-if 'current_plot_index' not in st.session_state:
-    st.session_state['current_plot_index'] = 0
-
-def update_plot(index, x, y):
-    plt.figure()
-    plt.plot(x, y, marker='o')
-    plt.title(f"Plot {index+1}")
-    st.pyplot(plt)
-
-def next_plot():
-    st.session_state['current_plot_index'] = (st.session_state['current_plot_index'] + 1) % len(data)
-
-# Display the plot
-index = st.session_state['current_plot_index']
-x, y = data[index]
-update_plot(index, x, y)
-
-# Select and update point
-point_index = st.number_input('Point Index', min_value=0, max_value=len(x)-1, step=1)
-new_value = st.number_input('New Y Value', value=y[point_index])
-if st.button('Update Point'):
-    y[point_index] = new_value
-    update_plot(index, x, y)
-
-# Next plot button
-if st.button('Next Plot'):
-    next_plot()
+from streamlit_plotly_events import plotly_events
+
+# Sample data
+df = px.data.gapminder().query("country=='Canada'")
+fig = px.line(df, x="year", y="lifeExp", title='Life Expectancy in Canada Over Years')
+
+# Capture the selected points
+selected_points = plotly_events(fig, click_event=True)
+
+# Handle the click event
+if selected_points:
+    st.write("You clicked on:", selected_points)
+    point_index = selected_points[0]['pointIndex']
+    new_value = st.number_input('Enter new value for life expectancy', value=df.iloc[point_index]['lifeExp'])
+    if st.button('Update Data'):
+        df.at[point_index, 'lifeExp'] = new_value
+        fig = px.line(df, x="year", y="lifeExp", title='Life Expectancy in Canada Over Years')
+        st.plotly_chart(fig)
+else:
+    st.plotly_chart(fig)
+