Read Size and Construct Numpy array object

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Constructing one dimensional array :

  • ndarray() is pre-defined in numpy
  • it is used to construct array object
  • We need to specify the shape of array and type of array in the construction.
  • When we don’t specify the type of data in array construction, by default the elements are float type.
import numpy as np
arr = np.ndarray(shape=(5))
print("Size :",arr.size)
print("Datatype :",arr.dtype)

We can specify the type in the construction of Array:

import numpy as np
arr = np.ndarray(shape=(5),dtype=int)
print("Size :",arr.size)
print("Datatype :",arr.dtype)

Read size of array and construct:

  • When we don’t specify the size, it is by default float type.
  • Once array has been constructed, all elements are default values.
import numpy as np
n = int(input("Enter size :"))
arr = np.ndarray(shape=(n),dtype=int)
print("Elements are :")
for ele in arr:
    print(ele)
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