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# How to generate grouped BAR plot using Python

A grouped bar plot is a way to visualize data by plotting multiple groups of rectangular bars together. Each group of bars represents a different category of the data, and the length of each bar represents the value of the data. Grouped bar plots are useful for comparing the values of different categories for the same variable.

In Python, you can use the Matplotlib library to create grouped bar plots. Matplotlib is a powerful data visualization library that provides a wide range of tools for creating different types of plots.

To generate a grouped bar plot using Matplotlib, you first need to install the library by running `pip install matplotlib` in your command line.

Once Matplotlib is installed, you’ll need to import it and other necessary libraries. For example:

``````import matplotlib.pyplot as plt
import numpy as np``````

Now, you need to generate some data for the grouped bar plot. You can generate synthetic data using Numpy random number generators, or read data from files or other data sources. For example:

``````// generate some data
group_labels = ['Group 1', 'Group 2', 'Group 3']
bar_width = 0.2
bar_1 = [3, 12, 8]
bar_2 = [2, 16, 10]
bar_3 = [6, 9, 4]``````

Once you have your data, you can create a grouped bar plot using the `bar()` function from Matplotlib’s pyplot module. This function takes several parameters, including the x-coordinates of the bars, the heights of the bars, the width of the bars, and the labels of the bars.

``````// Create the plot
fig, ax = plt.subplots()
ax.bar(np.arange(len(group_labels))-bar_width, bar_1, bar_width, label='bar 1')
ax.bar(np.arange(len(group_labels)), bar_2, bar_width, label='bar 2')
ax.bar(np.arange(len(group_labels))+bar_width, bar_3, bar_width, label='bar 3')``````

In the above example, we created three bars in the plot, one for each group with different widths to separate them and put labels for each.

Finally, you can add the labels for x-axis and y-axis, give title and legend to the plot.

``````// Add X and Y axis labels
ax.set_xlabel('Groups')
ax.set_ylabel('Values')``````
``````// Add a title and legend
ax.set_title('Grouped Bar Plot') ax.legend()``````

By using these simple steps, you can generate grouped bar plots using Python and Matplotlib library. With Matplotlib, you can easily create grouped bar plots that effectively communicate information about the values of different categories for the same variable in your data.

In this Learn through Codes example, you will learn: How to generate grouped BAR plot using Python.

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