Problem # 1: There is an array with an empty array, the underlying data of which is & # 39; int32 & # 39; of type & # 39; int32 & # 39; . Change the dtype of this object to & # 39; float64 & # 39; .
Solution: We will use numpy.astype () to change the data type underlying the given numpy array.
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Exit :
Now we will check the dtype of this array object.
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Output:
As we can see in the output, the current type d of this object array — & # 39; int32 & # 39 ;. Now we will change this to type & # 39; float64 & # 39 ;.
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Output:
Problem # 2: An array with an empty array is given, the base data of which is & # 39; int32 & # 39; type & # 39; int32 & # 39; . Change the dtype of this object to & # 39; complex128 & # 39; .
Solution: We will use numpy.astype () to change the data type underlying a given numpy array.
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Output:
Now we will check the dtype of this array object .
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Output:
As we can see in the output, the current type d of the given array object — & # 39; int32 & # 39 ;. We will now change this to type complex128.
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Exit:
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