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REFERENCEscipy

scipy Documentation

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constants.pi

AI & DATA SCIENCE // constants-pi

scipy.constants.pi is the mathematical constant π (pi), provided as a convenient, precise floating-point value, identical to Python's own math.pi.

Syntax

from scipy import constants
constants.pi

Deep Dive Course

scipy.constants.pi is simply a plain float, the same value as math.pi and numpy.pi, included in SciPy's constants module purely for convenience so code that's already importing other physical/mathematical constants from scipy.constants doesn't also need a separate import from the math module just for pi. It's accurate to the full precision of a Python float, roughly 15-17 significant decimal digits.

1Understanding constants.pi

scipy.constants.pi is simply a plain float, the same value as math.pi and numpy.pi, included in SciPy's constants module purely for convenience so code that's already importing other physical/mathematical constants from scipy.constants doesn't also need a separate import from the math module just for pi. It's accurate to the full precision of a Python float, roughly 15-17 significant decimal digits.

💡

scipy.constants.pi, math.pi, and numpy.pi are all exactly the same floating-point value — use whichever one is already imported/available in your code rather than adding an extra import just to get pi from a different module.

editor.html
from scipy import constants

radius = 5
area = constants.pi * radius ** 2
print(area)
localhost:3000

2Practical Example

Here is a real-world application of constants.pi showing how it is used in production SciPy code.

editor.html
from scipy import constants
import math

print(constants.pi == math.pi)
localhost:3000

3Best Practices

Follow these guidelines when working with constants.pi:

1. Use whichever pi you already have imported, scipy, math, or numpy, rather than adding a redundant extra import for the same value

2. Reach for scipy.constants specifically when you also need other physical constants alongside pi, to keep imports consolidated

3. Never hardcode a truncated decimal approximation of pi, like 3.14, in code — use the full-precision constant instead

⚠️

Tip: scipy.constants.pi, math.pi, and numpy.pi are all exactly the same floating-point value — use whichever one is already imported/available in your code rather than adding an extra import just to get pi from a different module.

editor.html
from scipy import constants

radius = 5
area = constants.pi * radius ** 2
print(area)
localhost:3000

Examples

Example 01Basic Usage
from scipy import constants

radius = 5
area = constants.pi * radius ** 2
print(area)
Example 02Advanced Example
from scipy import constants
import math

print(constants.pi == math.pi)

Best Practices

  • Use whichever pi you already have imported, scipy, math, or numpy, rather than adding a redundant extra import for the same value
  • Reach for scipy.constants specifically when you also need other physical constants alongside pi, to keep imports consolidated
  • Never hardcode a truncated decimal approximation of pi, like 3.14, in code — use the full-precision constant instead

Interview Question

Why does SciPy bother providing its own constants.pi, given that Python's math module already has math.pi?

Hint: Think about what scipy.constants is designed to be as a whole, not just this one specific value.

scipy.constants.pi isn't meant to be a genuinely different or more precise value — it's numerically identical to math.pi — it's included purely for convenience, so that code already importing physical and mathematical constants from the scipy.constants module has pi available from that same, single, consolidated source, without needing an extra unrelated import from the math module just for that one value.

Exercises

MediumPractice using constants.pi in a real scenario.
View Solution
from scipy import constants

radius = 5
area = constants.pi * radius ** 2
print(area)

Frequently Asked Questions

Why does SciPy bother providing its own constants.pi, given that Python's math module already has math.pi?

scipy.constants.pi isn't meant to be a genuinely different or more precise value — it's numerically identical to math.pi — it's included purely for convenience, so that code already importing physical and mathematical constants from the scipy.constants module has pi available from that same, single, consolidated source, without needing an extra unrelated import from the math module just for that one value.

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