How to check if a number is a np.float64 or np.float32 or np.float16?

How to check if a number is a np.float64 or np.float32 or np.float16?

You can use the numpy library's data type checking functions to determine if a number is of a specific data type, such as np.float64, np.float32, or np.float16. Here's how you can do it:

import numpy as np def check_float_type(number, target_type): return isinstance(number, np.floating) and np.dtype(number) == target_type number = 3.14 is_float64 = check_float_type(number, np.float64) is_float32 = check_float_type(number, np.float32) is_float16 = check_float_type(number, np.float16) print(f"Is float64: {is_float64}") print(f"Is float32: {is_float32}") print(f"Is float16: {is_float16}")

In this example, the check_float_type function takes a number and a target data type (e.g., np.float64, np.float32, np.float16). It uses the np.floating class to check if the number is a floating-point number and then compares the dtype of the number to the target dtype.

Replace number with the actual number you want to check. The is_float64, is_float32, and is_float16 variables will be True if the number is of the respective data type and False otherwise.

Examples

  1. "Python check if number is numpy float64 example" Description: In Python, you can use NumPy's np.float64 data type to represent 64-bit floating-point numbers. Here's a code example demonstrating how to check if a number is of type np.float64.

    import numpy as np def is_np_float64(number): return isinstance(number, np.float64) # Example usage my_number = np.float64(3.14) print(is_np_float64(my_number)) # Output: True

  2. "How to verify if number is numpy float32 in Python" Description: Verifying whether a number is of type np.float32 in Python can be done using NumPy. This code snippet illustrates how to perform this check.

    import numpy as np def is_np_float32(number): return isinstance(number, np.float32) # Example usage my_number = np.float32(2.718) print(is_np_float32(my_number)) # Output: True

  3. "Check if number is numpy float16 Python" Description: To check if a number is of type np.float16 in Python, you can use NumPy. Here's a code snippet demonstrating how to perform this check.

    import numpy as np def is_np_float16(number): return isinstance(number, np.float16) # Example usage my_number = np.float16(1.5) print(is_np_float16(my_number)) # Output: True

  4. "Python test if number is numpy float64" Description: Testing whether a number is of type np.float64 in Python can be achieved using NumPy. Here's a code example demonstrating this process.

    import numpy as np def test_np_float64(number): return isinstance(number, np.float64) # Example usage my_number = np.float64(4.2) print(test_np_float64(my_number)) # Output: True

  5. "How to determine if number is numpy float32 in Python" Description: Determining whether a number is of type np.float32 in Python can be accomplished using NumPy. Here's a code snippet illustrating this process.

    import numpy as np def is_np_float32(number): return isinstance(number, np.float32) # Example usage my_number = np.float32(6.9) print(is_np_float32(my_number)) # Output: True

  6. "Verify if number is numpy float16 Python" Description: Verifying whether a number is of type np.float16 in Python can be done using NumPy. Here's a code snippet demonstrating how to perform this check.

    import numpy as np def is_np_float16(number): return isinstance(number, np.float16) # Example usage my_number = np.float16(3.0) print(is_np_float16(my_number)) # Output: True

  7. "Python code to test if number is numpy float64" Description: Testing if a number is of type np.float64 in Python can be accomplished using NumPy. Here's a code example demonstrating this process.

    import numpy as np def test_np_float64(number): return isinstance(number, np.float64) # Example usage my_number = np.float64(7.8) print(test_np_float64(my_number)) # Output: True

  8. "Check if number is numpy float32 Python" Description: To check if a number is of type np.float32 in Python, you can utilize NumPy. Here's a code snippet demonstrating this check.

    import numpy as np def is_np_float32(number): return isinstance(number, np.float32) # Example usage my_number = np.float32(5.5) print(is_np_float32(my_number)) # Output: True

  9. "How to test if number is numpy float16 in Python" Description: Testing whether a number is of type np.float16 in Python can be done using NumPy. Here's a code snippet illustrating this process.

    import numpy as np def test_np_float16(number): return isinstance(number, np.float16) # Example usage my_number = np.float16(2.3) print(test_np_float16(my_number)) # Output: True

  10. "Python code to determine if number is numpy float64" Description: To determine if a number is of type np.float64 in Python, you can utilize NumPy. Here's a code example demonstrating this process.

    import numpy as np def is_np_float64(number): return isinstance(number, np.float64) # Example usage my_number = np.float64(9.1) print(is_np_float64(my_number)) # Output: True

More Tags

printf spring biginteger case-class javacv google-chrome-devtools magrittr connectivity double-click pug

More Python Questions

More Statistics Calculators

More Various Measurements Units Calculators

More Animal pregnancy Calculators

More Weather Calculators