Web Reference: numpy.array # numpy.array(object, dtype=None, *, copy=True, order='K', subok=False, ndmin=0, ndmax=0, like=None) # Create an array. Parameters: objectarray_like An array, any object exposing the array interface, an object whose __array__ method returns an array, or any (nested) sequence. If object is a scalar, a 0-dimensional array containing object is returned. dtypedata-type, optional The ... Here are some of the commonly used NumPy attributes: To access the Numpy attributes, we use the .notation. For example, This returns the number of dimensions in array1. NumPy arrays come packed with useful attributes that tell you everything you need to know about your data! Understanding these attributes is like having X-ray vision for your arrays - you can instantly see their structure, size, data type, and memory usage.
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