`numpy:linspace`

source: /dev/numpy/build-install/usr/lib/python3.14/site-packages/numpy/_core/function_base.py:27

Signature

def linspace(start, stop, num = 50, endpoint = True, retstep = False, dtype = None, axis = 0, *, device = None)

Summary

Return evenly spaced numbers over a specified interval.

Extended Summary

Returns num evenly spaced samples, calculated over the interval [start, stop].

The endpoint of the interval can optionally be excluded.

Parameters

start : array_like: The starting value of the sequence.
stop : array_like: The end value of the sequence, unless endpoint is set to False. In that case, the sequence consists of all but the last of num + 1 evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False.
num : int, optional: Number of samples to generate. Default is 50. Must be non-negative.
endpoint : bool, optional: If True, stop is the last sample. Otherwise, it is not included. Default is True.
retstep : bool, optional: If True, return (samples, step), where step is the spacing between samples.
dtype : dtype, optional: The type of the output array. If dtype is not given, the data type is inferred from start and stop. The inferred dtype will never be an integer; float is chosen even if the arguments would produce an array of integers.
axis : int, optional: The axis in the result to store the samples. Relevant only if start or stop are array-like. By default (0), the samples will be along a new axis inserted at the beginning. Use -1 to get an axis at the end.
device : str, optional: The device on which to place the created array. Default: None. For Array-API interoperability only, so must be "cpu" if passed.
versionadded 2.0.0

Returns

samples : ndarray

There are num equally spaced samples in the closed interval [start, stop] or the half-open interval [start, stop) (depending on whether endpoint is True or False).

step : float, optional

Only returned if retstep is True

Size of spacing between samples.

Examples

import numpy as np
np.linspace(2.0, 3.0, num=5)

✓

array([2.  , 2.25, 2.5 , 2.75, 3.  ])

np.linspace(2.0, 3.0, num=5, endpoint=False)
np.linspace(2.0, 3.0, num=5, retstep=True)

✗

(array([2.  , 2.25, 2.5 , 2.75, 3.  ]), np.float64(0.25))

Graphical illustration:

import matplotlib.pyplot as plt
N = 8
y = np.zeros(N)
x1 = np.linspace(0, 10, N, endpoint=True)
x2 = np.linspace(0, 10, N, endpoint=False)
plt.plot(x1, y, 'o')
plt.plot(x2, y + 0.5, 'o')

✓

[<matplotlib.lines.Line2D object at 0x7f22049a8980>]

plt.ylim([-0.5, 1])

✗

(-0.5, 1.0)

plt.show()

✓

`numpy:linspace`

Signature

Summary

Extended Summary

Parameters

Returns

Examples

See also

Aliases

Referenced by

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