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Plotting in Python: Quiver plot to show Vector Fields
Plotting in Python
Basic Plot and formatting
Subplot, Multiplot
Colormaps in Plots
Bar Plot
Pie Chart
Histogram
Quiver plot to show Vector Fields
Stream plot to Visualize Flow Data
Polar, Parametric Plot
Contour Plot
3D Plot
Density Plot
Animated Plot
Miscellaneous
Quiver plot to show Vector Fields: Program 1
Basic Quiver Plot
import matplotlib.pyplot as plt import numpy as np # Create grid and vector field X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1)) U = np.cos(X) V = np.sin(Y) # Create a quiver plot plt.figure(figsize=(8, 6)) plt.quiver(X, Y, U, V, color='blue') plt.title('Basic Quiver Plot') plt.xlabel('X axis') plt.ylabel('Y axis') plt.grid() plt.savefig('quiver_plot_1.png')
Run Code
Output 1
Quiver plot to show Vector Fields: Program 2
Quiver Plot with Color Coding for Magnitude
import matplotlib.pyplot as plt import numpy as np # Create grid and vector field X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1)) U = np.cos(X) V = np.sin(Y) # Compute magnitude magnitude = np.sqrt(U**2 + V**2) # Create a quiver plot with color coding plt.figure(figsize=(8, 6)) plt.quiver(X, Y, U, V, magnitude, cmap='viridis', scale=10) plt.title('Quiver Plot with Color Coding for Magnitude') plt.xlabel('X axis') plt.ylabel('Y axis') plt.colorbar(label='Magnitude') plt.grid() plt.savefig('quiver_plot_2.png')
Run Code
Output 2
Quiver plot to show Vector Fields: Program 3
2D Vector Plot
import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import matplotlib.cm as cm from pylab import rcParams rcParams['figure.figsize'] = 5, 3 # Vector plot x = np.linspace(-2,2,10) y = np.linspace(-2,2,10) xv, yv = np.meshgrid(x,y) # meshgrid is a 2D grid: (xv,yv) provides the coordinate at points in a mesh of Nx*Ny grid. plt.figure() plt.quiver(xv, yv, -xv**3, -yv**3) plt.savefig('plot.png')
Run Code
Output 3
Quiver plot to show Vector Fields: Program 4
3D Vector Plot
import numpy as np import matplotlib.pyplot as plt fig = plt.figure(figsize=(8, 6)) ax = fig.add_subplot(111, projection='3d') x = np.linspace(-10, 10, 5) y = x z = x xv, yv, zv = np.meshgrid(x, y, z) # Creating the vectors (u, v, w) for each point in the grid u = -xv v = -yv w = -zv ax.quiver(xv, yv, zv, u, v, w) plt.savefig('plot.png')
Run Code
Output 4