ax.set_xticks([0,1])
ax.set_xticklabels(['Five\nN={}'.format(len(dataFive)),
'Six\nN={}'.format(len(dataSix))])
extraplots.boxoff(ax)
#0-1
yMin = 0
yMax = 2
yStars = [yMax*1.1, yMax*1.2]
yStarHeight = (yMax-yMin)*0.05
starGapFactor = 0.1
fontSizeStars = 9
zVal, pVal = stats.mannwhitneyu(dataFive, dataSix)
if pVal < 0.05:
extraplots.new_significance_stars([0, 0.9], yStars[0], yStarHeight, starMarker='*',
fontSize=fontSizeStars, gapFactor=starGapFactor,
ax=ax)
else:
extraplots.new_significance_stars([0, 0.9], yStars[0], yStarHeight, starMarker='n.s.',
fontSize=fontSizeStars, gapFactor=starGapFactor,
ax=ax)
# #1-2
# zVal, pVal = stats.mannwhitneyu(dataSix, dataFarSix)
# if pVal < 0.05:
# extraplots.new_significance_stars([1.1, 2], yStars[0], yStarHeight, starMarker='*',
# fontSize=fontSizeStars, gapFactor=starGapFactor,
# ax=ax)
# else:
# extraplots.new_significance_stars([1.1, 2], yStars[0], yStarHeight, starMarker='n.s.',
# fontSize=fontSizeStars, gapFactor=starGapFactor*1.5,
extraplots.boxoff(axBar)
axBar.legend((peakPlot, WNPlot), ('peak', 'WN'),
loc='upper left',
frameon=False,
fontsize=fontSizeLabels,
handlelength=0.6)
plt.ylabel('Change in firing rate')
plt.xlim(-0.1, 1.9)
yLims = (0, 3.5)
plt.ylim(yLims)
extraplots.new_significance_stars([width / 2, 3 * width / 2],
yLims[1] * 0.5,
yLims[1] * 0.03,
starMarker='n.s.',
fontSize=10,
gapFactor=0.3)
extraplots.significance_stars([1 + width / 2, 1 + 3 * width / 2],
yLims[1] * 0.92,
yLims[1] * 0.03,
gapFactor=0.2)
axBar.annotate(panelLabel,
xy=(labelPosX[1], labelPosY[1]),
xycoords='figure fraction',
fontsize=fontSizePanel,
fontweight='bold')
if SAVE_FIGURE:
extraplots.save_figure(figFilename, figFormat, figSize, outputDir)
