def makeXCorr(self, spk_times: np.array, ax: matplotlib.axes = None,
**kwargs) -> matplotlib.axes:
# spk_times in samples provided in seconds but convert to
# ms for a more display friendly scale
spk_times = spk_times / 3e4 * 1000.
S = SpikeCalcsGeneric(spk_times)
y = S.xcorr(spk_times)
if ax is None:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.hist(
y[y != 0], bins=201, range=[-500, 500],
color='k', histtype='stepfilled')
ax.set_xlim(-500, 500)
ax.set_xticks((-500, 0, 500))
ax.set_xticklabels('')
ax.tick_params(
axis='both', which='both', left=False, right=False,
bottom=False, top=False)
ax.set_yticklabels('')
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.xaxis.set_ticks_position('bottom')
return ax
def format_axes(in_ax: matplotlib.axes,
labelsize: int = 12,
ticksize: int = 10,
legendsize: int = 8,
box: bool = False) -> None:
"""Formats ticks, tick label sizes, and axes label sizes for box plots.
Parameters
----------
in_ax : matplotlib.axes
Axes containing a plot.
labelsize : int, optional
Size of axes labels.
ticksize : int, optional
Size of tick labels.
legendsize : int, optional
Specifies font size of strings in legend.
box : bool, optional
Specifies whether or not a box plot has been plotted.
Returns
-------
None
"""
in_ax.xaxis.set_minor_locator(AutoMinorLocator())
in_ax.yaxis.set_minor_locator(AutoMinorLocator())
in_ax.xaxis.label.set_size(labelsize)
in_ax.yaxis.label.set_size(labelsize)
in_ax.tick_params(axis='both',
which='major',
direction='in',
length=4,
bottom=True,
top=True,
left=True,
right=True,
labelsize=ticksize,
color='grey')
in_ax.tick_params(axis='both',
which='minor',
direction='in',
length=2,
bottom=True,
top=True,
left=True,
right=True,
color='grey')
if not box:
legend = in_ax.legend(fontsize=legendsize,
edgecolor=(1, 1, 1, 0.),
facecolor=(1, 1, 1, 0))
legend.get_frame().set_alpha(0)
