develop python program to demonstrate numpy max of double dimensional array
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Answer:
Python NumPy
In this tutorial you will find solutions for your numeric and scientific computational problems using NumPy.
NumPy (short for Numerical Python) is an open source Python library for doing scientific computing with Python.
It gives an ability to create multidimensional array objects and perform faster mathematical operations. The library contains a long list of useful mathematical functions, including some functions for linear algebra and complex mathematical operations such as Fourier Transform (FT) and random number generator (RNG).
Most of the other libraries that we use in data analytics with Python, such as scikit-learn, SciPy and Pandas use some of NumPy's features.
How to create NumPy array?
To create a NumPy array we need to pass list of element values inside a square bracket as an argument to the np.array() function.
A 3d array is a matrix of 2d array. A 3d array can also be called as a list of lists where every element is again a list of elements.
July 24, 2019
NumPy Tutorial with Examples and Solutions
How to get and set data type of NumPy array?
The dtype method determines the datatype of elements stored in NumPy array. You can also explicitly define the data type using the dtype option as an argument of array function.
dtype Variants Description
int int8, int16, int32, int64 Integers
uint uint8, uint16, uint32, uint64 Unsigned (nonnegative) integers
bool Bool Boolean (True or False)
code>float float16, float32, float64, float128 Floating-point numbers
complex complex64, complex128, complex256 Complex-valued floating-point numbers
July 24, 2019
NumPy Tutorial with Examples and Solutions
Explanation: