streamline

app.py

@@ -1,4 +1,3 @@
-
 from vega_datasets import data
 from scipy import stats
 from bokeh.plotting import figure
@@ -6,55 +5,44 @@ from bokeh.models import ColumnDataSource
 import panel as pn
 import numpy as np
 
-#import io
-#import random
-#from typing import List, Tuple
-
-#import aiohttp
-#import panel as pn
-#from PIL import Image
-#from transformers import CLIPModel, CLIPProcessor
-
-#pn.extension(design="bootstrap", sizing_mode="stretch_width")
-
-
-source = data.movies()
-
+# Tell banel to use Bokeh
 pn.extension()
 
+# Get the data
+source = data.movies()
 temp = sorted(source['IMDB_Rating'].dropna().values)
 
+# compute an initial number of bins
 n_int_bins = int(np.ceil(max(temp))+ 1 - np.floor(min(temp)))
 
+# define a function that takes the parameters and creates the plot
 def create_plot(bandwidth=1.0, bins=n_int_bins):
     plot = figure(width=300, height=300, toolbar_location=None)
     
-    # Histogram
-    #bins = np.arange(np.floor(min(temp)), np.ceil(max(temp))+1, 1)
+    # Compute the histogram with the specified number of bins
     hist, edges = np.histogram(temp, bins=bins)
 
+    # normalize and plot it
     hist = hist / hist.sum()
-
     quad = plot.quad(top=hist, bottom=0, left=edges[:-1], right=edges[1:],
              fill_color="grey", line_color="white", alpha=0.5)
 
-    # density
+    # Compute the density with the specified bandwidth
     kernel = stats.gaussian_kde(temp, bw_method=bandwidth)
     x = np.linspace(min(temp), max(temp), 100)
     y = kernel(x)
     col_source = ColumnDataSource(data=dict(x=x, y=y))
     line = plot.line('x', 'y', source=col_source, alpha=1.0, width=2)
-    return plot
-
 
+    return plot
 
+# Create widgets for the bandwidth and number of bins
 bw_widget = pn.widgets.FloatSlider(name="Bandwidth", value=1.0, start=0.03, end=2.0, step=0.02)
 bins_widget = pn.widgets.IntSlider(name="Number of Bins", value=n_int_bins, start=1, end=n_int_bins*10)
 
+# bind the sliders to the plotting function
 bound_plot = pn.bind(create_plot, bandwidth=bw_widget, bins=bins_widget)
 
+# Combine everything together
 first_app = pn.Column(bw_widget, bins_widget, bound_plot)
-
-first_app.servable()
-
-
+first_app.servable()