update

pages/3_📋_Types.py

@@ -0,0 +1,84 @@
+import datetime
+import os
+import pathlib
+import requests
+import zipfile
+import pandas as pd
+import pydeck as pdk
+import geopandas as gpd
+import streamlit as st
+import leafmap.colormaps as cm
+from leafmap.common import hex_to_rgb
+
+
+st.set_page_config(layout="wide")
+
+st.sidebar.info(
+    """
+    - Web App URL: <https://interactive-crime-map.hf.space/>
+    - HuggingFace repository: <https://huggingface.co/spaces/interactive-crime/map/tree/main>
+    """
+)
+
+st.sidebar.title("Contact")
+st.sidebar.info(
+    """
+    Yunus Serhat Bıçakçı at [yunusserhat.com](https://yunusserhat.com) | [GitHub](https://github.com/yunusserhat) | [Twitter](https://twitter.com/yunusserhat) | [LinkedIn](https://www.linkedin.com/in/yunusserhat)
+    """
+)
+
+st.title("Heatmap")
+
+tweets = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/testimport.csv'
+borough = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/londonborough.geojson'
+
+def get_data_dict(name):
+    in_csv = tweets
+    df = pd.read_csv(in_csv)
+    label = list(df[df["hate_pred"] == name]["Borough"])[0]
+    desc = list(df[df["hate_pred"] == name]["Borough"])[0]
+    return label, desc
+
+
+def app():
+    st.title("Crime Types")
+    st.markdown(
+        """
+        This page shows the crime types in London. You can select a crime type from the sidebar and see the heatmap of that crime type.
+    """
+    )
+
+    row1_col1, row1_col2 = st.columns([3, 1.3])
+    width = 800
+    height = 600
+    layers = None
+
+    with row1_col2:
+        show_desc = st.checkbox("Show attribute description")
+        if show_desc:
+            try:
+                label, desc = get_data_dict()
+                markdown = f"""
+                **{label}**: {desc}
+                """
+                st.markdown(markdown)
+            except:
+                st.warning("No description available for selected attribute")
+
+
+    with row1_col1:
+            m = leafmap.Map(center=(51.50, -0.1]), zoom=10)
+            m.add_geojson(borough, layer_name='London Boroughs')
+            # if layers is not None:
+            #     for layer in layers:
+            #         m.add_wms_layer(
+            #             url, layers=layer, name=layer, attribution=" ", transparent=True
+            #         )
+            # if add_legend and legend_text:
+            #     legend_dict = ast.literal_eval(legend_text)
+            #     m.add_legend(legend_dict=legend_dict)
+
+            m.to_streamlit(height=height)
+
+
+app()