Anung Grahito - 10 months ago 86

Python Question

So I want to plot a normal distribution, and I've seen one way to do this is by using this code:

`import numpy as np`

import matplotlib.pyplot as plt

mu = 5

sigma = 1

s = np.random.normal(mu, sigma, 1000)

count, bins, ignored = plt.hist(s, 100, normed=True);

pdf = 1/(sigma * np.sqrt(2 * np.pi)) * np.exp(- (bins - mu)**2 / (2 * sigma**2))

mu_ = 10

sigma_ = 1

s = np.random.normal(mu_, sigma_, 1000)

count_, bins_, ignored_ = plt.hist(s, 100, normed=True);

pdf_ = 1/(sigma_ * np.sqrt(2 * np.pi)) * np.exp(- (bins_ - mu_)**2 / (2 * sigma_**2))

plt.plot(bins, pdf, linewidth=2, color='g')

plt.plot(bins_, pdf_, linewidth=2, color='r')

plt.show()

And the result is:

My question is, can I somehow hide the histogram plot so only the normal distribution line is shown?? I know there is another way to plot normal distribution, but I kinda prefer this way

Thank you for the help!!!

Answer Source

Try adding `plt.clf()`

right before:

```
plt.plot(bins, pdf, linewidth=2, color='g')
plt.plot(bins_, pdf_, linewidth=2, color='r')
```

This will clear the histogram, while still allowing you to use the output from it being drawn. If you'd like to have two separate figures, one with histogram and one with lines, add `plt.figure()`

instead of `plt.clf()`

.