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Plotting in Python: Basic Plot and formatting
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
Basic Plot and formatting: Program 1
Basic Line Plot
#Line plot import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [2, 4, 6, 8, 10] plt.plot(x, y) plt.title('Basic Line Plot') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.savefig('line_plot.png') plt.show()
Run Code
Output 1
Basic Plot and formatting: Program 2
Basic Scatter Plot
#Scatter plot import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [2, 4, 6, 8, 10] plt.scatter(x, y) plt.title('Scatter Plot') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.savefig('scatter_plot.png') plt.show()
Run Code
Output 2
Basic Plot and formatting: Program 3
Multiple Lines on same plot
import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y1 = [2, 3, 5, 7, 11] y2 = [1, 4, 6, 8, 12] plt.plot(x, y1, label='Series 1') plt.plot(x, y2, label='Series 2', linestyle='--') plt.title('Multiple Lines on Same Plot') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.legend() plt.savefig('plot.png') plt.show()
Run Code
Output 3
Basic Plot and formatting: Program 4
Dual Axis Plot
import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y1 = [2, 3, 5, 7, 11] y2 = [10, 20, 15, 25, 30] fig, ax1 = plt.subplots() ax2 = ax1.twinx() ax1.plot(x, y1, 'g-') ax2.plot(x, y2, 'b-') ax1.set_xlabel('X-axis') ax1.set_ylabel('Y1-axis', color='g') ax2.set_ylabel('Y2-axis', color='b') plt.title('Dual-Axis Plot') plt.savefig('plot.png') plt.show()
Run Code
Output 4
Basic Plot and formatting: Program 5
Error Bar
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 10) y = np.sin(x) errors = 0.1 + 0.1 * np.sqrt(x) plt.errorbar(x, y, yerr=errors, fmt='-o') plt.title('Error Bars') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.savefig('plot.png') plt.show()
Run Code
Output 5
Basic Plot and formatting: Program 6
Line Plot of Sine Function
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x) plt.plot(x, y) plt.title('Sine Function') plt.xlabel('x') plt.ylabel('sin(x)') plt.savefig('plot_1.png') plt.show()
Run Code
Output 6
Basic Plot and formatting: Program 7
User defined Function Plot
import matplotlib.pyplot as plt import numpy as np x = np.linspace(-10, 10, 100) y = x**3 plt.plot(x, y, 'b') plt.title('Cubic Function') plt.xlabel('x') plt.ylabel('x^3') plt.xlim(-8,8) plt.ylim(-1000,1000) plt.xticks() plt.yticks() plt.savefig('plot_4.png') plt.show()
Run Code
Output 7
Basic Plot and formatting: Program 8
User Defined Function Plot
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x) + np.cos(x**2) plt.plot(x, y, 'g') plt.title('User-Defined Function: sin(x) + cos(x^2)') plt.xlabel('x') plt.ylabel('sin(x) + cos(x^2)') plt.savefig('plot_15.png') plt.show()
Run Code
Output 8