What is the method to create a graph of identical columns using Python's Pandas module?

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To create a graph of identical columns using Python's Pandas module, you can use the pandas.DataFrame.plot() method. First, create a pandas DataFrame with identical columns using the pd.DataFrame() constructor. Then, call the plot() method on the DataFrame object with the desired parameters, such as the kind of plot (e.g., line, bar, etc.), the x and y axis labels, the title, etc.

Here's an example code snippet that creates a DataFrame with two identical columns and plots them as a line graph:

import pandas as pd
import matplotlib.pyplot as plt

# create a DataFrame with identical columns
df = pd.DataFrame({'col1': [1, 2, 3, 4], 'col2': [1, 2, 3, 4]})

# plot the DataFrame as a line graph
df.plot(x='col1', y='col2', kind='line', title='Identical Columns')

# display the graph
plt.show()

This will create a line graph with the values of the two identical columns plotted against each other. You can customize the plot further by adding more parameters to the plot() method.