Classifier
Functions
p12 Plot the graphs for some functions.
import matplotlib.pyplot as plt
import numpy as np
X = np.linspace(-1, 1, 100)
I = np.ones(100)
def myfig():
fig, ax = plt.subplots()
ax.set_xlabel('x')
ax.set_ylabel('f(x)')
ax.grid(True, which='both')
ax.axhline(y=0, color='k')
ax.axvline(x=0, color='k')
return fig, ax
# sqrt(x)
fig, ax = myfig()
ax.plot(X, np.sqrt(I + X), label='f(x) = sqrt(x)')
ax.plot(X, np.sqrt(I - X), label='f(x) = sqrt(1-x)')
plt.legend(loc='upper right')
# x^2
fig, ax = myfig()
ax.plot(X, X**2, label='f(x) = x^2')
ax.plot(X, -X**2, label='f(x) = -x^2')
plt.legend(loc='upper right')
# 1/x^2
fig, ax = myfig()
X1 = np.linspace(0.5, 10, 100)
X2 = np.linspace(-0.5, -10, 100)
ax.plot(X1, 1/X1**2, label='f(x) = 1/x^2')
ax.plot(X2, -1/X2**2, label='f(x) = -1/x^2')
plt.legend(loc='upper right')
# x^2-4 / x-2
fig, ax = myfig()
X = np.linspace(-4, 5, 10)
ax.plot(X, (X**2-4) / (X-2), label='f(x) = x^2-4 / x-2') # no value at x=2
ax.plot(X, (X + 2) + 1, label='f(x) = x + 2')
plt.scatter(X, (X**2 - 4) / (X - 2))
plt.legend(loc='upper right')
plt.show()
➥ Slope
Slope
Draw slope line from point
import numpy as np
import matplotlib.pyplot as plt
def myfig():
fig, ax = plt.subplots()
ax.set_xlabel('x')
ax.set_ylabel('f(x)')
ax.grid(True, which='both')
ax.axhline(y=0, color='k')
ax.axvline(x=0, color='k')
return fig, ax
fig, ax = myfig()
X = np.linspace(-2, 2, 100)
plt.plot(X, X**2, label='f(x) = x^2')
def plot_slope(x1, y1, slope):
# Calculate intercept "b" in y = ax + b
b = y1 - slope * x1
# Draw a point around the input point
x2, y2 = (x1 + 1, slope * (x1 + 1) + b)
# Draw start line point
plt.scatter(x1, y1)
plt.annotate('(%s, %s)'%(x1, y1), xy=(x1, y1), xytext=(x1, y1))
# Draw slope line
plt.plot((x1, x2), (y1, y2), linestyle='--', label='d(x) = 2x + %s' %b)
x1, y1 = (-1, 1)
slope = 2 * x1
plot_slope(x1, y1, slope)
x1, y1 = (-1.42, 2)
slope = 2 * x1
plot_slope(x1, y1, slope)
x1, y1 = (-2, 4)
slope = 2 * x1
plot_slope(x1, y1, slope)
plt.legend(loc='upper right')
plt.show()
➥ Questions
