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## Overview
The **`numpy.can_cast()` function** in Python is used to check if we can cast between given data types according to the rules of casting. It will return `True` if the casting is possible and `False` if otherwise.

## Syntax


numpy.can_cast(from_, to, casting='safe')


## Parameter value
The `numpy.can_cast()` function takes the following parameter values:
* **`from_`**: This represents the data type, scalar, or the array to cast from.
* **`to`**: This represents the data type, scalar, or the array to cast to.
* **`casting`**: This controls what kind of data casting is likely to occur. This parameter is optional.
## Return value
The `numpy.can_cast()` function returns a Boolean value. It returns `True` if the casting can occur and `False` if it cannot.
## Code example



import numpy as np

# casting 32 bit int to 64 bit int data type
a = np.can_cast(np.int32, np.int64)

# casting a 64 bit float to a complex data type
b = np.can_cast(np.float64, complex)

# casting a complex to a float data type
c = np.can_cast(complex, float)

print(a)
print(b)
print(c)

## Code explanation
* **Line 1**: We import the `numpy` module.
* **Line 4**: We use the `np.can_cast()` function to check if we can cast from an `int32` data type to an `int64` data type. The Boolean value is assigned to a variable `a`.
* **Line 7**: We use the `np.can_cast()` function to check if we can cast from a `float64` data type to a `complex` data type. The Boolean value is assigned to a variable `b`.
* **Line 10**: We use the `np.can_cast()` function to check if we can cast from a `complex` data type to a `float` data type. The Boolean value is assigned to a variable `c`.
* **Lines 12-14**: We print the `a`, `b`, and `c` variables that contain the Boolean values.


What is the numpy.can_cast() function in Python?

numpy.can_cast() in Python checks if casting between data types is possible, returning True or False based on casting rules.