Duplicate from gradio/NYC-Airbnb-Map

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

.gitattributes

@@ -0,0 +1,31 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,14 @@
+---
+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: gradio/NYC-Airbnb-Map
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,53 @@
+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

@@ -0,0 +1,2 @@
+plotly
+pandas