NumPy Linspace: 이해하기 쉽게 사용 및 수정 방법

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np.linspace(): numpy linspace

Creating Ranges of Numbers With Even Spacing

• Using np.linspace()
  • 예시:

  >>> import numpy as np
  >>> np.linspace(1, 10)
  array([ 1.        ,  1.18367347,  1.36734694,  1.55102041,  1.73469388,
          1.91836735,  2.10204082,  2.28571429,  2.46938776,  2.65306122,
          2.83673469,  3.02040816,  3.20408163,  3.3877551 ,  3.57142857,
          3.75510204,  3.93877551,  4.1224489, ...])

• Using range() and List Comprehensions
• Using np.arange()

Customizing the Output From np.linspace()

• The start, stop, and num Parameters
• The dtype Parameter for Changing Output Type
• The endpoint and retstep Parameters
• Nonscalar Values for Higher-Dimensional Arrays
• Summary of Input Parameters and Return Values
• Example: A Food Production Conveyor Belt

Representing Mathematical Functions

• Mathematical Functions With np.linspace()
• Example: Superimposing Traveling Waves
• Two-Dimensional Mathematical Functions

Creating Ranges of Numbers With Uneven Spacing

• Logarithmic Spaces
• Other Nonlinear Ranges
• Example: Simulation of an Orbiting Planet

Conclusion