There are several approaches to impose the datatype. For instance, if we want all entries of an already created array to be 32-bit floating point values, we may cast it as follows:
We can also use an optional argument, dtype
through the command:
The output is shown as follows:
This can be simplified even further with a third clever method (although this practice offers code that are not so easy to interpret):
The output is shown as follows:
The choice of datatypes for NumPy arrays is very flexible; we may choose the basic Python types (including bool
, dict
, list
, set
, tuple
, str
, and unicode
), although for numerical...