Matplotlib Course For Beginner with Project

Matplotlib Course For Beginners with Projects

 In this course we are going to learn how to plot various graph in matplotlib.pyplot using python 

Assumption:

• You are using Jupyter Notebook
  
• You already have installed all dependencies used in this course (now by default all the dependecies are installed just in case if it not installed type pip install matplotlib in jupyter cell and run [note first try to run the code if its not work then try to install it]).
• You have basic knowledge of python
• Project list below (Mostly 2d and 3d project related to mechanical eginnering )

1. Simple Graph Plotting
   
   import matplotlib.pyplot as plt

   
   

   x = [1,5,6,7,8]  

   y = [8,4,5,2,3]

   plt.plot(x,y)

   [<matplotlib.lines.Line2D at 0x7fde95167290>]

   
2. import matplotlib.pyplot as plt

   plt.plot([1,5,7,8,9])
3. MultiLine Plots
   
   import matplotlib.pyplot as plt

   
   

   x = [1,2,3,4]

   y = [9,8,7,4]

   x1 = [4,5,6,7]

   y1 = [9,6,3,4]

   
   

   plt.plot(x,y,x1,y1)
4. Grid , Axis and adding Labels
   
   import matplotlib.pyplot as plt

   
   

   x = [1,5,6,7,8]  

   y = [8,4,5,2,3]

   plt.plot(x,y)

   plt.grid(True)

   import matplotlib.pyplot as plt

   
   

   x = [1,5,6,7,8]  

   y = [8,4,5,2,3]

   plt.plot(x,y)

   plt.grid(True)

   plt.axis([-1,10,0,15])

   import matplotlib.pyplot as plt

   
   

   x = [1,5,6,7,8]  

   y = [8,4,5,2,3]

   plt.plot(x,y)

   plt.xlabel("x-axis")

   plt.ylabel("y-axis")

   plt.title("Simple Graph")

   plt.grid(True)

   plt.axis([-1,10,0,15])
5. Legend 
   
   
   import matplotlib.pyplot as plt

   import numpy as np

   t = np.linspace(1,10,10)

   plt.plot(t,t**2,label="square")

   plt.plot(t,t,label="linear")

   plt.legend()
6. Styling in Graph
   
   
   import matplotlib.pyplot as plt

   import numpy as np

   t = np.linspace(1,10,10)

   plt.plot(t,t**2,'#E7429B',label="square")

   plt.plot(t,t,'b',label="linear")

   plt.legend()

   import matplotlib.pyplot as plt

   import numpy as np

   t = np.linspace(1,10,10)

   plt.plot(t,t**2,'--',label="square")

   plt.plot(t,t,'-.',label="linear")

   plt.legend()
7. Scatter Plot
   
   

   import matplotlib.pyplot as plt

   import numpy as np

   N = 100

   colors = np.random.rand(N)

   x = np.random.rand(N)

   y = np.random.rand(N)

   scale = (10*x*y)

   plt.scatter(x,y, s= scale , c = colors)
   
8. Pie Chart
   
   
   import matplotlib.pyplot as plt

   x = [20,30,50,60]

   y = ["milk","fish","cake","chips"]

   plt.pie(x,labels=y)

   import matplotlib.pyplot as plt

   x = [20,30,50,60]

   y = ["milk","fish","cake","chips"]

   explode = [0,0,0.3,0]

   plt.pie(x,labels=y ,explode = explode)

Simple Test base  on Matplotlib

simple Sin Graph plotting

import matplotlib.pyplot as plt

import numpy as np

plt.figure(figsize=(10,10))

t = np.linspace(0,360,360)

x = np.sin(np.radians(t))

plt.grid('on')

plt.plot(t,x)

Plot a Circle in Python

import matplotlib.pyplot as plt

import numpy as np

plt.figure(figsize=(10,10))

t = np.linspace(0,360,360)  # theta

r = 10  # radius 

x = r*np.sin(np.radians(t))

y = r*np.cos(np.radians(t))

plt.xlabel('x-axis')

plt.ylabel('y-axis')

plt.title('Circle ')

plt.grid('on')

plt.plot(x,y)

plt.axis('equal')

Simple Spiral Graph Plotting in Python matplotlib.pyplot

import matplotlib.pyplot as plt

import numpy as np

plt.figure(figsize=(10,10))

t = np.linspace(0,1080,360)  # theta

r = np.linspace(0,1080,360)  # radius 

x = r*np.sin(np.radians(t))

y = r*np.cos(np.radians(t))

plt.grid('on')

plt.plot(x,y)

plt.axis('equal')

Project Code Link : 3d Graph animation Code Link : https://www.engineerknow.com/2021/09/3d-interactive-graph-animation-in.html

• Jupyter Notebook Animation
• Curve Fitting
• Velocity Profile design
• Heat Transfer analysis
• Connecting Rod and crank Velocity ,acceleration analysis
• Bending ,slope ,deflection etc analysis
• 2D Graph Animation in Jupyter Notebook
• Interactive Tangent to curve Blog link