Python Numpy multi dimensional array

Numpy is used scientific computing with Python.
We can create powerful multidimensional arrays in numpy. Numpy requires all elements are to be of same data type. ( This is one of the main difference with Pandas which can accommodate different data types. ) After installation you can add this line to include Numpy in your program.

import numpy as np

Getting the version

import numpy as np
print("Numpy Version : ",np.__version__)

Numpy

NumPy Array	Scientific computing with Python
Array Methods	Methods to get result ( output ) using NumPy
array_split()	break the array to get sub-arrays
bincount	frequency of occurrence of elements
where	Return elements depending on condition check
shape	Return shape of the array
reshape	Change the array shape and dimension

Creating array

create	Creating array using Numpy
eye	array with ones and zeros
empty	array without initializing entries
empty_like	array of same shape and type
full	Aray filled with input value
ones	array filled with ones
arange	creating array of fixed steps
linspace	creating array of fixed number
zeros	Aray filled with zeros

Exercise	Creating different types of array

random.randit	Random integers with lower and upper limits and size
random.rand	Uniform distribution [0,1] of random numbers of given shape & population
random.randn	Normal distribution of random numbers of given shape & population
random_sample	Continuous uniform distribution over an interval

sum()	Sum of elements, or along the axis
mean()	Mean value of elements, or along the axis
max()	Maximum value among elements, or along the axis
min()	Minimum value among elements, or along the axis
std()	Standard deviation along the axis

Exercise a	Basics of Creating Arrays

math functions	Numpy math functions

Get the list of all functions of Pandas. ( Use dir() )

import numpy as np
print(len(dir(np))) # 622

List of functions

for i in dir(np):
    print(i)

Python Tkinter Pandas Python- Tutorials

Numpy n dimensional Arrays ( ndarray )

Numpy

Creating array