CODEWITHSUNDEEP
pythonrandomnumpy
user1821176
user1821176

Reputation: 1191

Generate an array of random values from a created function to be plotted

I have a function:

f = x**0.5*numpy.exp(-x/150)

I used numpy and matplot.lib to generate a plot of f as a function of x with x:

x = np.linspace(0.0,1000.0, num=10.0)

I am wondering how do I create an array of random x values would create the same plot for this function using the x array I first made?

Bryan

Upvotes: 4

Views: 2751

Answers (1)

Joe Kington
Joe Kington

Reputation: 284870

I'm not quite clear what you're asking, but is it as simple as just wanting non-regularly-spaced points in your "x" array?

If so consider doing a cumulative summation on an array of random values.

As a quick example:

import numpy as np
import matplotlib.pyplot as plt

xmin, xmax, num = 0, 1000, 20
func = lambda x: np.sqrt(x) * np.exp(-x / 150)

# Generate evenly spaced data...
x_even = np.linspace(xmin, xmax, num)

# Generate randomly spaced data...
x = np.random.random(num).cumsum()
# Rescale to desired range
x = (x - x.min()) / x.ptp()
x = (xmax - xmin) * x + xmin

# Plot the results
fig, axes = plt.subplots(nrows=2, sharex=True)
for x, ax in zip([x_even, x_rand], axes):
    ax.plot(x, func(x), marker='o', mfc='red')
axes[0].set_title('Evenly Spaced Points')
axes[1].set_title('Randomly Spaced Points')
plt.show()

enter image description here

Upvotes: 5

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