Let's plot a polynomial and its first and second derivative. We will make three subplots for the sake of clarity:
func = np.poly1d(np.array([1, 2, 3, 4]).astype(float)) x = np.linspace(-10, 10, 30) y = func(x) func1 = func.deriv(m=1) y1 = func1(x) func2 = func.deriv(m=2) y2 = func2(x)
subplot()
function. The first parameter of this function is the number of rows, the second parameter is the number of columns, and the third parameter is an index number starting with 1. Alternatively, combine the three parameters into a single number, such as 311
. The subplots will be organized in three rows and one column. Give the subplot the title Polynomial. Make a solid red line:plt.subplot(311) plt.plot(x, y, 'r-') plt.title("Polynomial")
subplot()
function. Give the subplot the title First Derivative. Use a line of blue triangles:plt.subplot(312) plt.plot(x, y1, 'b^') plt.title("First Derivative")
subplot()
function. Give the subplot the title Second Derivative. Use a line of green circles:plt.subplot(313) plt.plot(x, y2, 'go') plt.title("Second Derivative") plt.xlabel('x') plt.ylabel('y') plt.show()
The three subplots with polynomial coefficients 1, 2, 3, and 4 are as follows:
We plotted a polynomial and its first and second derivatives using three different line styles and three subplots in three rows and one column (see polyplot3.py
):
import numpy as np import matplotlib.pyplot as plt func = np.poly1d(np.array([1, 2, 3, 4]).astype(float)) x = np.linspace(-10, 10, 30) y = func(x) func1 = func.deriv(m=1) y1 = func1(x) func2 = func.deriv(m=2) y2 = func2(x) plt.subplot(311) plt.plot(x, y, 'r-') plt.title("Polynomial") plt.subplot(312) plt.plot(x, y1, 'b^') plt.title("First Derivative") plt.subplot(313) plt.plot(x, y2, 'go') plt.title("Second Derivative") plt.xlabel('x') plt.ylabel('y') plt.show()