5. Interactive Visualization of Data across Time

Activity 5: Create an Interactive Temporal Visualization using RangeTool and Aggregator

1. Import required libraries:

   from bokeh.io import show
   from bokeh.layouts import column
   from bokeh.models import ColumnDataSource, RangeTool
   from bokeh.plotting import figure
   from bokeh.io import push_notebook, show, output_notebook
   from pathlib import Path
   import pandas as pd
   import numpy as np
   from ipywidgets import interact
   %matplotlib inline

2. Setup the output to Jupyter Notebook:

   DATA_PATH = Path(“../datasets/chap5_data/”)
   output_notebook()

3. Create a DataFrame microsoft_df and parse the date column:

   microsoft_df = pd.read_csv(DATA_PATH / “microsoft_stock.csv”, parse_dates=[‘date’])

4. Set the index as date:

   microsoft_df.index = microsoft_df.date

5. Create date numpy array and source as ColumnDataSource. We will use these to draw line plot:

   dates = np.array(microsoft_df...