/Python/Np.arange and np.linspace difference

Np.arange and np.linspace difference

# np.arrange allows you to define the stepsize 

>>> np.arange(0,1,0.1) #--> 0.1  is the stepsize or interval 
array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])

# np.linspace allows you to define how many values you get including the specified min and max value

>>> np.linspace(0,1,11) #--> 11  no of values you need
array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ])

Source: stackoverflow.com

Similar codes

0 vote281 views2 answers
Programação orientada a objetos python - Pessoa
Python
7 votes268 views2 answers
What is the output of the following code? np.arange(0,22,6)
Python
1 vote259 views1 answer
Python script to sort file content
Python
22 votes261 views4 answers
Join two numpy arrays
Python
0 vote312 views1 answer
The requested resource was not found on this server. django
Python
10 votes277 views4 answers
How to make a variable in python
Python
1 vote261 views1 answer
How to separate x and y from mouse position python
Python
0 vote296 views2 answers
Python get object name
Python
5 votes276 views4 answers
Yticks matplotlib
Python
0 vote278 views1 answer
1d random walk in python stack exchange
Python