Introduction to NumPy arrays and their Attributes
NumPy Arrays, are arrays, build in Python with all the basic functionalities which an array has, such as split, reshape, join. etc.
Many Python packages for Numerical/Scientific computing such as pandas are built around NumPy and use its array feature to build their functions.
Let us begin by creating a simple 1-dimensional array in NumPy.
Not just 1-dimensional, but we can create higher-dimensional arrays too.
Array Attributes in NumPy
Number of dimensions
This attribute tells us the number of dimensions of the array.
The Shape of the Array
This gives us the number of rows and columns in the array.
Size of the Array
This gives us the total size (number of items) of the array.
Data Type of the Array
This gives us the data type of the items in the array.
Size of each item in Array
This gives us the size of each item in bytes in the array.
Size (in bytes) of the Array
This gives us the size of the complete array in bytes.