[PYTHON] numpy practice 1

Create a numpy object

import numpy a = numpy.array([1,2,3,4,5]) b = numpy.array([6,7,8,9,10])

Get sum, mean, variance, standard deviation with numpy numpy.sum(a) numpy.average(a) numpy.var(a) numpy.std(a)

Add element to numpy numpy.append(a,6)

→ Returns numpy.array ([1,2,3,4,5,6]) (returned as a return value)

Recommended Posts

numpy practice 1
Numpy [Basic]
numpy part 1
NumPy basics
Numpy Memorandum_Matrix
numpy tips
Linux practice
Practice Pytorch
About numpy
NumPy axis
Use Numpy
numpy part 2
where in numpy
Practice RNN TensorFlow
numpy unit test
NumPy array manipulation (3)
list and numpy
NumPy universal functions
numpy memorandum 1 / np.pad
#Python basics (#Numpy 1/2)
[Practice] TCP programming
#Python basics (#Numpy 2/2)
Reactive Extensions practice
numpy index search
NumPy array manipulation (1)
[Numpy] Shuffle ndarray
Beginners practice Python
Python #Numpy basics
numpy non-basic techniques
About Numpy broadcast
[PyTorch] Sample ① ~ NUMPY ~
Install Numpy + atlas
[Python] Numpy memo