Convert a number range to another range, maintaining ratio in python

Convert a number range to another range, maintaining ratio in python

To convert a number from one range to another while maintaining the ratio between the two ranges, you can use the following formula:

def map_range(value, from_min, from_max, to_min, to_max):
    # Calculate the ratio between the input range and the output range
    from_range = from_max - from_min
    to_range = to_max - to_min

    # Map the value from the input range to the output range
    scaled_value = (value - from_min) / from_range
    mapped_value = to_min + scaled_value * to_range

    return mapped_value

Here's how you can use this function:

# Example: Map a value from the range [0, 10] to the range [0, 100]
value_to_map = 5
new_value = map_range(value_to_map, 0, 10, 0, 100)
print(new_value)  # Output: 50.0

In this example, the map_range function takes the input value and maps it from the input range [from_min, from_max] to the output range [to_min, to_max] while maintaining the ratio between the two ranges.

You can use this function to map values from one range to another, ensuring that the relative proportions are preserved.

Examples

  1. How to scale a number range to another range while maintaining the ratio in Python using linear interpolation?

    Description: This query suggests using linear interpolation to scale a number range to another range while preserving the ratio.

    def scale_range(value, old_min, old_max, new_min, new_max):
    old_range = old_max - old_min
    new_range = new_max - new_min
    scaled_value = (((value - old_min) * new_range) / old_range) + new_min
    return scaled_value

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  2. Python: Convert a number range to another range with numpy.interp()?

    Description: This query explores using numpy.interp() to map a number from one range to another while maintaining the ratio.

    import numpy as np

def scale_range(value, old_min, old_max, new_min, new_max):
    return np.interp(value, (old_min, old_max), (new_min, new_max))

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  3. How to rescale a number range to another range in Python using a lambda function?

    Description: This query suggests using a lambda function to rescale a number range to another range while maintaining the ratio.

    scale_range = lambda value, old_min, old_max, new_min, new_max: \
               (value - old_min) * (new_max - new_min) / (old_max - old_min) + new_min

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  4. Python: Convert a number range to another range using a function with ratio preservation?

    Description: This query suggests using a function to convert a number range to another range while preserving the ratio.

    def scale_range(value, old_min, old_max, new_min, new_max):
    old_range = old_max - old_min
    new_range = new_max - new_min
    ratio = (value - old_min) / old_range
    scaled_value = new_min + ratio * new_range
    return scaled_value

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  5. How to rescale a number range to another range using numpy.linspace() in Python?

    Description: This query suggests using numpy.linspace() to rescale a number range to another range while maintaining the ratio.

    import numpy as np

def scale_range(value, old_min, old_max, new_min, new_max):
    old_range = old_max - old_min
    new_range = new_max - new_min
    scaled_value = np.interp(value, (old_min, old_max), (new_min, new_max))
    return scaled_value

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  6. Python: Convert a number range to another range using scipy.interp1d()?

    Description: This query suggests using scipy.interp1d() to convert a number range to another range while maintaining the ratio.

    from scipy.interpolate import interp1d

def scale_range(value, old_min, old_max, new_min, new_max):
    f = interp1d([old_min, old_max], [new_min, new_max])
    scaled_value = f(value)
    return scaled_value

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  7. How to rescale a number range to another range in Python using numpy.polyfit()?

    Description: This query suggests using numpy.polyfit() to rescale a number range to another range while maintaining the ratio.

    import numpy as np

def scale_range(value, old_min, old_max, new_min, new_max):
    old_range = old_max - old_min
    new_range = new_max - new_min
    poly_coefficients = np.polyfit([old_min, old_max], [new_min, new_max], 1)
    scaled_value = np.polyval(poly_coefficients, value)
    return scaled_value

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

  8. Python: Convert a number range to another range using map() function?

    Description: This query suggests using the map() function to convert a number range to another range while maintaining the ratio.

    def scale_range(value, old_min, old_max, new_min, new_max):
    old_range = old_max - old_min
    new_range = new_max - new_min
    scaled_value = ((value - old_min) * new_range) / old_range + new_min
    return scaled_value

# Example usage:
old_min = 0
old_max = 100
new_min = 0
new_max = 10
scaled_value = scale_range(50, old_min, old_max, new_min, new_max)

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