diff options
Diffstat (limited to 'numpy/core/function_base.py')
| -rw-r--r-- | numpy/core/function_base.py | 29 |
1 files changed, 23 insertions, 6 deletions
diff --git a/numpy/core/function_base.py b/numpy/core/function_base.py index b5323fb17..00e4e6b0e 100644 --- a/numpy/core/function_base.py +++ b/numpy/core/function_base.py @@ -3,6 +3,7 @@ import warnings import operator import types +import numpy as np from . import numeric as _nx from .numeric import result_type, NaN, asanyarray, ndim from numpy.core.multiarray import add_docstring @@ -91,6 +92,7 @@ def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, scale (a geometric progression). logspace : Similar to `geomspace`, but with the end points specified as logarithms. + :ref:`how-to-partition` Examples -------- @@ -166,7 +168,7 @@ def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, y += start if endpoint and num > 1: - y[-1] = stop + y[-1, ...] = stop if axis != 0: y = _nx.moveaxis(y, 0, axis) @@ -182,7 +184,7 @@ def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, def _logspace_dispatcher(start, stop, num=None, endpoint=None, base=None, dtype=None, axis=None): - return (start, stop) + return (start, stop, base) @array_function_dispatch(_logspace_dispatcher) @@ -198,6 +200,9 @@ def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, .. versionchanged:: 1.16.0 Non-scalar `start` and `stop` are now supported. + .. versionchanged:: 1.25.0 + Non-scalar 'base` is now supported + Parameters ---------- start : array_like @@ -222,9 +227,10 @@ def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, 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. + The axis in the result to store the samples. Relevant only if start, + stop, or base 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. .. versionadded:: 1.16.0 @@ -242,10 +248,11 @@ def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, linspace : Similar to logspace, but with the samples uniformly distributed in linear space, instead of log space. geomspace : Similar to logspace, but with endpoints specified directly. + :ref:`how-to-partition` Notes ----- - Logspace is equivalent to the code + If base is a scalar, logspace is equivalent to the code >>> y = np.linspace(start, stop, num=num, endpoint=endpoint) ... # doctest: +SKIP @@ -260,6 +267,9 @@ def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, array([100. , 177.827941 , 316.22776602, 562.34132519]) >>> np.logspace(2.0, 3.0, num=4, base=2.0) array([4. , 5.0396842 , 6.34960421, 8. ]) + >>> np.logspace(2.0, 3.0, num=4, base=[2.0, 3.0], axis=-1) + array([[ 4. , 5.0396842 , 6.34960421, 8. ], + [ 9. , 12.98024613, 18.72075441, 27. ]]) Graphical illustration: @@ -277,7 +287,13 @@ def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, >>> plt.show() """ + ndmax = np.broadcast(start, stop, base).ndim + start, stop, base = ( + np.array(a, copy=False, subok=True, ndmin=ndmax) + for a in (start, stop, base) + ) y = linspace(start, stop, num=num, endpoint=endpoint, axis=axis) + base = np.expand_dims(base, axis=axis) if dtype is None: return _nx.power(base, y) return _nx.power(base, y).astype(dtype, copy=False) @@ -338,6 +354,7 @@ def geomspace(start, stop, num=50, endpoint=True, dtype=None, axis=0): progression. arange : Similar to linspace, with the step size specified instead of the number of samples. + :ref:`how-to-partition` Notes ----- |