def parameter_diagnostics(nameString, data, likes, priors, chi2s):
percents=np.array([0.5-0.9973/2.0, 0.5-0.9545/2.0, 0.5-0.6827/2.0, \
0.5, 0.5+0.6827/2.0, 0.5+0.9545/2.0, 0.5+0.9973/2.0]) \
* 100.0
limits=np.array([1.0-0.9973, 1.0-0.9545, 1.0-0.6827, \
0.6827, 0.9545, 0.9973]) * 100.0
prcresult = np.percentile(data, percents)
limresult = np.percentile(data, limits)
# Plot for raw data series
fig, ax, fsd = press_key_to_close_figure()
# Turn off default axis
ax.set_visible(False)
gs = gridspec.GridSpec(5,5)
ax1 = fig.add_subplot(gs[3,:])
ax1.plot(data,'.')
#ax1.set_xlabel('Chain Step', size=fsd['labelfontsize'])
ax1.set_ylabel(nameString, size=fsd['labelfontsize'])
ax1.tick_params('both', labelsize=fsd['tickfontsize'],
width=fsd['plotboxlinewidth']/3.0,
color=fsd['axiscolor'], length=fsd['plotboxlinewidth'])
# Histogram plot
nBins = 35
xmin = limresult[0]
xmax = limresult[-1]
xedges = np.linspace(xmin, xmax, nBins+1)
#midx = xedges[:-1] + np.diff(xedges)/2.0
ax2 = fig.add_subplot(gs[0:3,:])
n, xedgesused, patches = ax2.hist(data, xedges,
histtype='bar',
edgecolor='k', color=fsd['myskyblue'],
normed=True)
ax2.set_title(nameString, size=fsd['labelfontsize'])
ax2.set_ylabel('Prob dbin', size=fsd['labelfontsize'])
ax2.tick_params('both', labelsize=fsd['tickfontsize'],
width=fsd['plotboxlinewidth']/3.0,
color=fsd['axiscolor'], length=fsd['plotboxlinewidth'])
# Autocorrelation
acfdata = acf(data, 30)
ax3 = fig.add_subplot(gs[4,:])
ax3.plot(acfdata,'-k')
ax3.set_xlabel('Lag', size=fsd['labelfontsize'])
ax3.set_ylabel('ACF', size=fsd['labelfontsize'])
ax3.tick_params('both', labelsize=fsd['tickfontsize'],
width=fsd['plotboxlinewidth']/3.0,
color=fsd['axiscolor'], length=fsd['plotboxlinewidth'])
plt.show()
return
def parameter_correlations(data, names):
sz = data.shape
for i in np.arange(sz[1]):
for j in np.arange(i+1,sz[1]):
xData = data[:,i]
xString = names[i]
yData = data[:,j]
yString = names[j]
fig, ax, fsd = press_key_to_close_figure()
ax.hexbin(xData, yData, gridsize=50, bins='log', \
mincnt = 3, cmap=plt.cm.YlOrRd_r)
ax.set_xlabel(xString, size=fsd['labelfontsize'])
ax.set_ylabel(yString, size=fsd['labelfontsize'])
ax.tick_params('both', labelsize=fsd['tickfontsize'],
width=fsd['plotboxlinewidth']/3.0,
color=fsd['axiscolor'], length=fsd['plotboxlinewidth'])
plt.show()
return