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Return a new array of given shape and type, filled with array-like in Numpy
To return a new array of given shape and type, filled with a fill value, use the numpy.full() method in Python Numpy. The 1st parameter is the shape of the new array. The 2nd parameter sets the fill value as array-like.
The dtype is the desired data-type for the array. The order suggests whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.
Steps
At first, import the required library −
import numpy as np
To return a new array of given shape and type, filled with a fill value, use the numpy.full() method. The 2nd parameter sets the fill value as array-like −
arr = np.full((2, 2), fill_value = [998, 999])
Display the array −
print("Array...
",arr)
Get the type of the array −
print("
Array datatype...
",arr.dtype)
Get the dimensions of the Array: −
print("
Array Dimensions...
",arr.ndim)
Get the shape of the array −
print("
Our Array Shape...
",arr.shape)
Get the number of elements of the Array −
print("
Elements in the Array...
",arr.size)
Example
import numpy as np # To return a new array of given shape and type, filled with a fill value, use the numpy.full() method in Python Numpy # The 1st parameter is the shape of the new array # The 2nd parameter sets the fill value as array-like arr = np.full((2, 2), fill_value = [998, 999]) # Displaying our array print("Array...
",arr) # Get the datatype print("
Array datatype...
",arr.dtype) # Get the dimensions of the Array print("
Array Dimensions...
",arr.ndim) # Get the shape of the Array print("
Our Array Shape...
",arr.shape) # Get the number of elements of the Array print("
Elements in the Array...
",arr.size)
Output
Array... [[998 999] [998 999]] Array datatype... int64 Array Dimensions... 2 Our Array Shape... (2, 2) Elements in the Array... 4