Arrays - linspace()

What np.linspace() Does

• numpy.linspace() creates an array of evenly spaced numbers between a start and stop value.
• Unlike arange(), which depends on a step size, linspace() generates a specified number of points.

Function Signature

numpy.linspace(start, stop, num=50, endpoint=True, dtype=None)

• start → first value in the sequence.
• stop → last value (included by default).
• num → number of samples (default = 50).
• endpoint → if True, includes the stop value (default). If False, excludes it.
• dtype → optional data type (e.g., int, float).

Examples

import numpy as np​# Default: 50 points from 0 to 1np.linspace(0, 1)# → array of 50 evenly spaced values between 0 and 1​# 5 points from 0 to 10np.linspace(0, 10, 5)# → [ 0.   2.5  5.   7.5 10. ]​# 5 points, excluding the stop valuenp.linspace(0, 10, 5, endpoint=False)# → [0. 2. 4. 6. 8.]​# Negative to positive rangenp.linspace(-5, 5, 11)# → [-5. -4. -3. -2. -1.  0.  1.  2.  3.  4.  5.]​# From -2.5 to 2.5, 6 pointsnp.linspace(-2.5, 2.5, 6)# → [-2.5 -1.5 -0.5  0.5  1.5  2.5]​# With float precision and custom dtypenp.linspace(-1, 1, 5, dtype=np.float32)# → [-1.  -0.5  0.   0.5  1. ]

Key Notes

• Great for generating evenly spaced values when you know how many points you need, not the step size.
• Very useful in plotting (e.g., generating x-values for smooth curves).
• Preferable to arange() for floating-point ranges, since it avoids precision issues.