Update app.py

app.py

@@ -1,3 +1,60 @@
-from tastymap import TastyKitchen
+import matplotlib.pyplot as plt
+import pandas as pd
+import panel as pn
+import tropycal.tracks as tracks
 
-TastyKitchen().servable()
+pn.extension("perspective")  # 1.
+
+def update_name_options(year):
+    names = sorted(basin_df.query(f"year == {year}")["name"].unique())
+    name_select.options = names
+    if not name_select.value or name_select.value not in names:
+        name_select.value = names[0] if names else None
+
+def update_storm_preview(name, year):
+    try:
+        storm_preview.loading = True
+        storm_id = track_dataset.get_storm_id((name, year))
+        axes = track_dataset.plot_storm(storm_id)
+        plt.close(axes.figure)
+        storm_preview.object = axes.figure
+        storm_table.object = track_dataset.get_storm(storm_id).to_dataframe() # 4.
+    finally:
+        storm_preview.loading = False
+
+@pn.cache
+def initialize_data():
+    track_dataset = tracks.TrackDataset(basin="both", source="hurdat")
+    basin_df = pd.DataFrame.from_dict(track_dataset.data, orient="index")
+    return track_dataset, basin_df
+
+# Instantiate Widgets & Pane
+year_slider = pn.widgets.IntSlider(
+    name="Year", value=1950, start=1950, end=2022, step=1
+)
+name_select = pn.widgets.Select(name="Name")
+storm_preview = pn.pane.Matplotlib(plt.figure(), sizing_mode="stretch_both")
+storm_table = pn.pane.Perspective(editable=False, sizing_mode="stretch_both") # 2.
+
+# Layout the app
+sidebar = pn.Column(year_slider, name_select)
+main = pn.Tabs(("Preview", storm_preview), ("Table", storm_table))  # 3.
+
+template = pn.template.FastListTemplate(
+    sidebar=sidebar,
+    main=main,
+    title="HURDAT Tracks Viewer"
+)
+
+# Initialize data
+track_dataset, basin_df = initialize_data()
+
+# Define Callbacks
+pn.bind(update_name_options, year=year_slider.param.value_throttled, watch=True)
+pn.bind(update_storm_preview, name=name_select, year=year_slider.param.value_throttled, watch=True)
+
+# Pre-populate values
+year_slider.param.trigger("value_throttled")
+
+# Serve the app
+template.show()