Detailed explanation of numpy multidimensional array ndarray

Numpy Ndarray object

An important feature of Numpy is its N-dimensional array object ndarray, which is a series of homogeneous data sets, starting with 0 subscripts to index elements in the set.Multidimensional array similar to C++ vector.

The following are the characteristics of Ndarray (different from python's list)
The ndarray object is a multidimensional array used to store elements of the same type.(For example: all are float, str, or int, etc., but they must be of the same type.)
Each element in ndarray has the same storage area in memory

Based on the above characteristics, ndarray consists of the following contents:
1) A pointer to data (a piece of data in memory or a memory-mapped file).
2) The data type or dtype, describing the grid of fixed-size values ​​in the array.
3) A tuple representing the shape of the array and a tuple representing the size of each dimension.
4) A stride, where the integer refers to the number of bytes that need to be "crossed" in order to advance to the next element in the current dimension.
To create an ndarray array, just call the numpy array function:
numpy.array(object, dtype=None,copy=True,order=None,subok=false,ndmin=0)

Name	Description
object	Array or nested sequence
dtype	Data structure of array elements, optional
copy	Whether the object needs to be copied, optional
order	The style of creating an array, C is the row direction, F is the column direction, A is any direction
subbok	default returns an array consistent with the base class
ndmin	Specify the minimum dimension of the generated array

The above is the usage of multi-dimensional arrays in python's numpy module. It is necessary to test its usage through Liezi.As follows:

1: Create a 1D array

2:Create a two-dimensional array

3: Test the ndmin parameter

4: Test parameter dtype parameter

Summary: narray multidimensional array is a very important part of numpy module.Manipulating narray arrays inherits python's operations.It converts to and from python's list, str, float, etc.