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This code defines a function that uses the Bokeh library to create a bar chart based on random data. It first generates random data, then creates a bar chart and displays it.
Technology Stack : Bokeh library, random data generation, bar chart creation, ColumnDataSource, figure, vbar renderer
Code Type : The type of code
Code Difficulty : Intermediate
def create_random_bar_chart(data):
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource
import numpy as np
# Generate random data
x = np.random.rand(len(data))
y = np.random.rand(len(data))
# Create a ColumnDataSource to feed data to the plot
source = ColumnDataSource(data=dict(x=x, y=y))
# Create a new plot with a title and axis labels
p = figure(title="Random Data Bar Chart", x_axis_label='X', y_axis_label='Y')
# Add a bar renderer to the plot
p.vbar(x='x', top='y', width=0.5, source=source, color='blue')
# Show the results
show(p)