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Return a new array of given shape and type filled with a fill value 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.
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 in Python Numpy. The 2nd parameter sets the fill value −
arr = np.full((4,5), fill_value = 999)
Display the 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)
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 arr = np.full((4,5), fill_value = 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... [[999 999 999 999 999] [999 999 999 999 999] [999 999 999 999 999] [999 999 999 999 999]] Array datatype... int64 Array Dimensions... 2 Our Array Shape... (4, 5) Elements in the Array... 20
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