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This function creates a bar chart using the Bokeh library. The data is passed as a parameter, with the x-axis representing the horizontal coordinates of the data points and the y-axis representing the values of the data points.
Technology Stack : Bokeh, ColumnDataSource
Code Type : Data visualization
Code Difficulty : Intermediate
def random_bar_chart(data):
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource
# Create a ColumnDataSource from the data
source = ColumnDataSource(data=dict(x=data['x'], y=data['y']))
# Create a new plot with a title and axis labels
p = figure(title="Random Bar Chart", x_axis_label='X', y_axis_label='Y', plot_width=800, plot_height=600)
# Add a bar renderer to the plot
p.vbar(x='x', top='y', width=0.9, source=source)
# Show the results
show(p)