Duplicate from jqtrde/NYC-Airbnb-Map

Co-authored-by: jqtrde <jqtrde@users.noreply.huggingface.co>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
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+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+title: NYC Airbnb Map
+emoji: 🏃
+colorFrom: purple
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.8.2
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: jqtrde/NYC-Airbnb-Map
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import pandas as pd
+import plotly.graph_objects as go
+
+df = pd.read_csv("AB_NYC_2019.csv")
+
+def filter_map(min_price, max_price, boroughs):
+
+    filtered_df = df[(df['neighbourhood_group'].isin(boroughs)) & 
+          (df['price'] > min_price) & (df['price'] < max_price)]
+    names = filtered_df["name"].tolist()
+    prices = filtered_df["price"].tolist()
+    text_list = [(names[i], prices[i]) for i in range(0, len(names))]
+    fig = go.Figure(go.Scattermapbox(
+            customdata=text_list,
+            lat=filtered_df['latitude'].tolist(),
+            lon=filtered_df['longitude'].tolist(),
+            mode='markers',
+            marker=go.scattermapbox.Marker(
+                size=6
+            ),
+            hoverinfo="text",
+            hovertemplate='<b>Name</b>: %{customdata[0]}<br><b>Price</b>: $%{customdata[1]}'
+        ))
+
+    fig.update_layout(
+        mapbox_style="open-street-map",
+        hovermode='closest',
+        mapbox=dict(
+            bearing=0,
+            center=go.layout.mapbox.Center(
+                lat=40.67,
+                lon=-73.90
+            ),
+            pitch=0,
+            zoom=9
+        ),
+    )
+
+    return fig
+
+with gr.Blocks() as demo:
+    with gr.Column():
+        with gr.Row():
+            min_price = gr.Number(value=250, label="Minimum Price")
+            max_price = gr.Number(value=1000, label="Maximum Price")
+        boroughs = gr.CheckboxGroup(choices=["Queens", "Brooklyn", "Manhattan", "Bronx", "Staten Island"], value=["Queens", "Brooklyn"], label="Select Boroughs:")
+        btn = gr.Button(value="Update Filter")
+        map = gr.Plot().style()
+    demo.load(filter_map, [min_price, max_price, boroughs], map)
+    btn.click(filter_map, [min_price, max_price, boroughs], map)
+
+demo.launch()

requirements.txt

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+plotly
+pandas