panel app

Dockerfile

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+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["panel", "serve", "/code/app.py","--address", "0.0.0.0", "--port", "7860", "--allow-websocket-origin","easysci-panel-main.hf.space"]

app.py

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+import panel as pn
+import hvplot.pandas
+import param
+
+# Load Data
+from bokeh.sampledata.autompg import autompg_clean as df
+
+# create a self-contained dashboard class
+class InteractiveDashboard(param.Parameterized):
+    cylinders =  param.Integer(label='Cylinders', default=4, bounds=(4, 8))
+    mfr = param.ListSelector(
+        label='MFR',
+        default=['ford', 'chevrolet', 'honda', 'toyota', 'audi'], 
+        objects=['ford', 'chevrolet', 'honda', 'toyota', 'audi'], precedence=0.5)
+    yaxis = param.Selector(label='Y axis', objects=['hp', 'weight'])
+
+    
+    @param.depends('cylinders', 'mfr', 'yaxis')
+    def plot(self):
+        return (
+            df[
+                (df.cyl == self.cylinders) & 
+                (df.mfr.isin(self.mfr))
+            ]
+            .groupby(['origin', 'mpg'])[self.yaxis].mean()
+            .to_frame()
+            .reset_index()
+            .sort_values(by='mpg')  
+            .reset_index(drop=True)
+            .hvplot(x='mpg', y=self.yaxis, by='origin', color=["#ff6f69", "#ffcc5c", "#88d8b0"], line_width=6, height=400)
+        )
+dashboard = InteractiveDashboard()
+
+# Layout using Template
+template = pn.template.FastListTemplate(
+    title='Interactive DataFrame Dashboards with param .depends', 
+    sidebar=[pn.Param(dashboard.param, widgets={'mfr': pn.widgets.ToggleGroup,'yaxis': pn.widgets.RadioButtonGroup})],
+    main=[dashboard.plot],
+    accent_base_color="#88d8b0",
+    header_background="#88d8b0",
+)
+template.servable()

requirements.txt

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+hvplot
+panel