Python is a highly in-demand language with versatile applications. One of its popular uses is data visualization. In this tutorial, we will learn about plotting iterations in Python. Plotting iterations is an important aspect of data visualization.

## Prerequisites

Before you start plotting iterations in Python, it is important to have a basic knowledge of Python programming language. You should also have some idea about data visualization and plotting in Python.

## Steps to plot iterations in Python

### Step 1: Import libraries

The first step is to import the necessary libraries. We will import the “matplotlib.pyplot” library for plotting. Run the following code to import the library:

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import matplotlib.pyplot as plt |

### Step 2: Define the function

After importing the library, we define a function that we want to plot. Let’s define a simple function that calculates the square of a number. Run the following code:

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def square(x): return x*x |

### Step 3: Generate a list of numbers

In this step, we generate a list of numbers on which we want to apply the function. Run the following code to generate a list of numbers from 0 to 10:

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x = list(range(11)) |

### Step 4: Plot the iteration

Now, it is time to plot the iteration. We can use the “plot()” function from the “matplotlib.pyplot” library to plot the iteration. Run the following code:

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plt.plot(x, [square(i) for i in x]) plt.show() |

The above code generates a graph showing the square of numbers from 0 to 10.

## Conclusion

In this tutorial, we learned about plotting iterations in Python using the “matplotlib.pyplot” library. We saw how to define a function, generate a list of numbers, and plot the iteration.

Python offers versatile applications in data visualization, and plotting iterations is just one of them.

## Here is the complete code:

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import matplotlib.pyplot as plt def square(x): return x*x x = list(range(11)) plt.plot(x, [square(i) for i in x]) plt.show() |