Respuesta :
The Numpy library in python allows numerical data to be written in matrix-like format called arrays for the purpose of performing scientific operation.
- The Numpy array function allows data of the same type to be created using the code ;
- numpy.array([1, 5, 10, 15, 20, 25])
- The transpose function in numpy is used to convert rows to columns and vice versa.
- The reshape function allows the specification of a two arguments to an array, which states the number of row and columns we want the array to have.
- Dataframe is another python library used to creating 2 dimensional tables capable of storing elements of different data types.
Therefore, Meera employ the Numpy array function.
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