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ufunc Rounding Decimals

NumPy provides ufuncs to round decimals in arrays. These include round_, floor, and ceil, which allow precise control over rounding operations.

Key Topics

Rounding Methods

Rounding ufuncs include:

  • round_: Rounds to the nearest integer or specified decimal places.
  • floor: Rounds down to the nearest lower integer.
  • ceil: Rounds up to the nearest higher integer.

Example

# Rounding with ufuncs
import numpy as np

arr = np.array([3.14159, 2.71828, 1.61803])

rounded = np.round_(arr, 2)
floored = np.floor(arr)
ceiled = np.ceil(arr)

print("Rounded to 2 decimals:", rounded)
print("Floored values:", floored)
print("Ceiled values:", ceiled)

Output

Rounded to 2 decimals: [3.14 2.72 1.62]
Floored values: [3. 2. 1.]
Ceiled values: [4. 3. 2.]

Explanation: Each rounding ufunc operates on the array, rounding values to specified decimal places or nearest integers.

Key Takeaways

  • Rounding: Use round_, floor, and ceil for precise rounding operations.
  • Element-Wise: These ufuncs operate element by element on arrays.
  • Applications: Useful for data formatting, precision adjustments, and mathematical computations.
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