Normal distribution

>>> import matplotlib.pyplot as plt
>>> count, bins, ignored = plt.hist(s, 30, density=True)
>>> plt.plot(bins, 1/(sigma * np.sqrt(2 * np.pi)) *
...                np.exp( - (bins - mu)**2 / (2 * sigma**2) ),
...          linewidth=2, color='r')
>>> plt.show()

Source: numpy.org

Normal distribution

# Creating a normal distribution
import numpy as np 
mu, sigma = 0, 0.1 # mean and standard deviation
s = np.random.normal(mu, sigma, 1000)

# Visualizing the Normal Distribution
import matplotlib.pyplot as plt
count, bins, ignored = plt.hist(s, 30, density=True)
plt.plot(bins, 1/(sigma * np.sqrt(2 * np.pi)) *
         np.exp(- (bins - mu)**2 / (2 * sigma**2)), linewidth=2, color='r')
plt.show()

Source: numpy.org

Similar codes

1 vote316 views1 answer
Pygame holding a button down
Python
0 vote326 views2 answers
ImportError: cannot import name 'run_evaluation' from 'rasa_nlu.evaluate' (c:\users\gwinivac\.conda\envs\chatboty\lib\site-packages\rasa_nlu\evaluate.py)
Python
1 vote307 views3 answers
Making ckeditor django responsive
Python
0 vote315 views1 answer
Copy data with tensroflow io
Python
1 vote321 views1 answer
Dot notation python
Python
0 vote336 views1 answer
List Get Sublist
Python
1 vote317 views1 answer
Django change value and save model object
Python Django
0 vote376 views1 answer
Django edit model without loading from db
Python Django
0 vote322 views2 answers
Odoo wizard current user login
Python
10 votes321 views4 answers
How to check if Python is 32 or 64 bit
Python