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Numpy full() Function
The Numpy full() function is used to create a new array with a specified shape and data type, where all elements are initialized to a given value.
The NumPy array created using the numpy.full() function contains the same specified element repeated throughout the array. Numpy arrays of different dimensions, such as 1-D, 2-D, and 3-D, can be created using this function with various data types, including strings, floats, complex and integers.
Syntax
Following is the syntax of the Numpy full() function −
numpy.full(shape, fill_value, dtype=None, order='C', like=None)
Parameters
Following are the parameters of the Numpy full() function −
- shape- It can be integer or sequence of integers, used to define the dimensions of the array.
- fill_value- Specified value to fill the array with.
- dtype(optional)- By default, the data-type is inferred from the input data. By default, the data-type is float.
- order(optional)- This represents whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to C.
- like (optional)- This is the reference object to allow the creation of arrays that are not NumPy arrays
Return Values
This function returns returns the array of given shape, order, and datatype filled with a specified value.
Example
Following is an basic example to create an numpy array with specified value using Numpy full() function −
import numpy as np # create a 1D array of five 2s array1 = np.full(5,2) print('1D Numpy Array: ',array1) #type of array print(type(array1))
Output
Following is the output of the above code −
1D Numpy Array: [2 2 2 2 2] <class 'numpy.ndarray'>
Example : N-dimensional Array with 'numpy.full()'
We can create a multi-dimentional numpy array of specifed value using numpy.full() function. Here, we have created a numpy 2-D array with a shape of (3,4), and all the elements are filled with the value 24 −
# numpy.full method import numpy as np my_Array = np.full([3,2], 24) print("Numpy 2-D Array : \n", my_Array)
Output
Following is the output of the above code −
Numpy 2-D Array : [[24 24] [24 24] [24 24]]
Example : Numpy Array of 'string' Datatype
To create a NumPy array with a specified data type (dtype) of string, we can use the dtype parameter in the numpy.full() function. In the following example, we have created a numpy array of str datatype −
import numpy as np my_Array = np.full([3, 2], fill_value='4', dtype='str') print("Numpy 2-D Array : \n", my_Array)
Output
Following is the output of the above code −
Numpy 2-D Array : [['4' '4'] ['4' '4'] ['4' '4']]