Anyone learning Python or machine learning is definitely aware of the creation of charts using the matplotlib.pyplot module. In this article, we will see how to animate a sample chart and then save it as a gif file.
The matplotlib package has an animation module. Two classes of these modules will be required, FuncAnimation and PillowWriter.
import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation, PillowWriter %matplotlib notebook
The FuncAnimation takes the following arguments
%matplotlib notebook - magic command - will make our plots interactive within the notebook
To begin, we will initialize empty objects as shown below
fig, ax = plt.subplots() x, ysin, ycos = , ,  ln1, = plt.plot(, , 'ro') ln2, = plt.plot(, , 'm*')
Please note that the call to plt.plot(,, ‘ro’) returns a tuple with one element. This is unpacked into a variable ln1. To unpack single item tuples, this convention is followed. If you print the type of ln1 and ln2, you will get a Line2D object.
Lets define the init and update functions as shown below:
def init(): ax.set_xlim(0, 2*np.pi) ax.set_ylim(-1, 1) def update(i): x.append(i) ysin.append(np.sin(i)) ycos.append(np.cos(i)) ln1.set_data(x, ysin) ln2.set_data(x, ycos)
As can be seen from code, in init function we set our x and y axis limits. In the update function, the arrays x, ysin and ycos are appended with respective values and functions.
A Line2D object has set_data function in which you can pass the x values and y values. Now it’s time to call our main animation function.
ani = FuncAnimation(fig, update, np.linspace(0, 2*np.pi, 64), init_func=init) plt.show()
For the value of frames, I am passing an iterable with 64 values between 0 and 6.28 and that it. Run the code and enjoy the animation.
Once you are happy with your animation, you can convert this to a gif by inserting the following command once before the plt.show()
Later you can comment them out.
writer = PillowWriter(fps=25) ani.save("demo_sine.gif", writer=writer)
Here, fps is frames per second. I hope you enjoy creating more animated charts of different types.
Thank you for reading!
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu" >>> LastName = "Jordan" >>> FirstName, LastName = LastName, FirstName >>> print(FirstName, LastName) ('Jordan', 'kalebu')
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Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
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In Python, plotting graphs is straightforward — you can use powerful libraries like Matplotlib. But when you are running simulations, basic plots may not always be enough. You may want to show an animation that helps you understand how the state changes over time.
Luckily, it’s just as easy to create animations as it is to create plots with Matplotlib.
In this guide, you are going to learn:
Matplotlib is a commonly used visualization library in Python. You can plot interactive graphs, histograms, bar charts, and so on.
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