psweep.psweep.logspace#
- psweep.psweep.logspace(start, stop, num=50, offset=0, log_func=<ufunc 'log10'>, **kwds)[source]#
Like
numpy.logspace
butstart and stop are not exponents but the actual bounds
tuneable log scale strength
Control the strength of the log scale by offset, where we use by default
log_func=np.log10
andbase=10
and returnnp.logspace(np.log10(start + offset), np.log10(stop + offset)) - offset
. offset=0 is equal tonp.logspace(np.log10(start), np.log10(stop))
. Higher offset values result in more evenly spaced points.- Parameters:
start – same as in
np.logspace
stop – same as in
np.logspace
num – same as in
np.logspace
**kwds – same as in
np.logspace
offset – Control strength of log scale.
log_func (
Callable
) – Must match base (pass that as part of **kwds). Default isbase=10
as innp.logspace
and solog_func=np.log10
. If you want a different base, also provide a matching log_func, e.g.base=e, log_func=np.log
.
Examples
Effect of different offset values:
>>> from matplotlib import pyplot as plt >>> from psweep import logspace >>> import numpy as np >>> for ii, offset in enumerate([1e-16,1e-3, 1,2,3]): ... x=logspace(0, 2, 20, offset=offset) ... plt.plot(x, np.ones_like(x)*ii, "o-", label=f"{offset=}") >>> plt.legend()