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linespace函数
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numpy.linspace
-
numpy.
linspace
(
start
,
stop
,
num=50
,
endpoint=True
,
retstep=False
,
dtype=None
)[source]
-
Return evenly spaced numbers over a specified interval.
Returns
num
evenly spaced samples, calculated over the interval [
start
,
stop
].
The endpoint of the interval can optionally be excluded.
Parameters:
-
start
: scalar
-
The starting value of the sequence.
-
stop
: scalar
-
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, infer the data type from the other input arguments.
New in version 1.9.0.
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.
numpy.
linspace
(
start
,
stop
,
num=50
,
endpoint=True
,
retstep=False
,
dtype=None
)[source]
Return evenly spaced numbers over a specified interval.
Returns num evenly spaced samples, calculated over the interval [ start , stop ].
The endpoint of the interval can optionally be excluded.
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