# PDF
prev_xmin = -3
prev_xmax = 3
prev_ymin = 0
prev_ymax = 0.6
post_xmin = -1
post_xmax = 7
post_ymin = 0
post_ymax = 0.8
prev_data_loc = dir + "basic-map-prev-pdf.out"
post_data_loc = dir + "basic-map-post-pdf.out"
ax = plt.subplot(1, 2, 1)
pdfplt.pdfplot_bar(ax, prev_expected, prev_data_loc, prev_xmin, prev_xmax, prev_ymin, prev_ymax)
ax.set_title("PDF before map")
ax = plt.subplot(1, 2, 2)
pdfplt.pdfplot_bar(ax, post_expected, post_data_loc, post_xmin, post_xmax, post_ymin, post_ymax)
ax.set_title("PDF after map")
# Save Plot
# plt.legend()
plt.savefig(name + '.pdf')
plt.savefig(name + '.png')
# PDF: Represented
xmin = -3
xmax = 3
ymin = 0
ymax = 0.6
data_locs = [data_loc(40), data_loc(80), data_loc(340)]
i = 1
for _data_loc in data_locs:
ax = plt.subplot(1, len(data_locs) + 1, i)
# pdfplt.pdfplot_errorbar(ax, expected, _data_loc, xmin, xmax, ymin, ymax)
pdfplt.pdfplot_bar(ax, expected, _data_loc, xmin, xmax, ymin, ymax)
i = i + 1
# KLD
countmin = 40
countmax = 500
rearr_start = 50
rearr_period = 100
kld_max = 0.15
kld_data_loc = dir + "basic-normal-kld.out"
ax = plt.subplot(1, len(data_locs) + 1, len(data_locs) + 1)
kldplt.kldplot(ax, kld_data_loc, kld_max, countmin, countmax, rearr_start,
rearr_period)
# PDF: Represented
xmin = -3
xmax = 3
ymin = 0
ymax = 0.6
data_counts = [40, 60, 340]
i = 0
for data_count in data_counts:
ax = plt.subplot(1, len(data_counts) + 1, i + 1)
annotation = "(" + chr(ord('a') + i) + ")" + " pdf at update count: " + str(data_count)
ax.set_title(annotation)
pdfplt.pdfplot_bar(ax, pdf_expected, pdf_data_loc(data_count), xmin, xmax, ymin, ymax)
i = i + 1
# KLD
countmin = 40
countmax = 500
rearr_start = 50
rearr_period = 100
kld_max = 0.15
kld_pdf_data_loc = dir + "basic-normal-kld.out"
ax = plt.subplot(1, len(data_counts) + 1, len(data_counts) + 1)
ax.set_title("(d) KL-divergence")