def draw_track_clone_no_matched2(clone, data, groups, outbase, opts=None):
if opts is not None:
axes, fig, pdf = drawcommon.get_axes(outfile=outbase,
outfmt=opts.plotformat, dpi=opts.dpi)
else:
axes, fig, pdf = drawcommon.get_axes(outfile=outbase)
xdata = range(1, len(groups) + 1)
offset = 0.02
numpoints = 25.0
for i, x in enumerate(xdata):
ydata = sorted(data[i])
halfwidth = min(numpoints, len(ydata)) * offset / 2
currxdata = []
numrounds = int(math.ceil(len(ydata) / numpoints))
for r in xrange(numrounds):
numy = min(numpoints, len(ydata) - r * numpoints)
for j in xrange(int(numy)):
currxdata.append(x - halfwidth + j * offset)
axes.plot(currxdata, ydata, ls='none', marker='o', markersize=5)
#axes.boxplot(data)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, groups)
#drawcommon.set_labels(axes, "Clone %s" % clone, "Groups", "Clone size")
axes.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
axes.set_xlim(0, len(groups) + 1)
drawcommon.write_image(fig, pdf, outname=outbase)
def draw_clonesize_dist(name2obj, attr, outfile, outfmt='pdf', dpi=300):
# name2stat: key = sample name, val = CloneSizeStat
# attr = numclones/counts/numclones_cumul/counts_cumul/topfreqs/
# topfreqs_cumul
assert len(name2obj) > 0
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
obj0 = name2obj.values()[0]
xlabels = [str(x) for x in obj0.freqs]
if attr == 'topfreqs' or attr == 'topfreqs_cumul':
xlabels = [str(x + 1) for x in xrange(len(obj0.topfreqs))]
xdata = range(0, len(xlabels))
numtop = len(xdata)
if attr == 'numclones' or attr == 'numclones_attr':
axes.set_yscale('log')
linenames = []
lines = []
for name, obj in name2obj.iteritems():
ydata = obj[attr]
if len(xdata) != len(ydata): # HACK
continue
line, = axes.plot(xdata, ydata, color=obj.color, marker=obj.marker,
markeredgecolor=obj.color, linestyle='-')
lines.append(line)
linenames.append(obj.name)
drawcommon.set_grid(axes)
drawcommon.set_legend(axes, lines, linenames)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, xlabels)
labels = cs_get_attr_plot_labels(attr, numtop)
drawcommon.set_labels(axes, labels[0], labels[1], labels[2])
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
def draw_diversity_plot_hacktimeseries(group2names, name2obj, attr, outfile,
outfmt='pdf', dpi=300):
'''Instead of box plot for each group, keep each sample separately
'''
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
xlabels = ['BL', 'PC', 'W6', 'W14', 'W20']
xdata = range(1, len(xlabels) + 1)
cat2group2names = {'None': {}, 'IL7': {}}
for catgroup, names in group2names.iteritems():
items = catgroup.split('-')
cat = items[0]
group = items[1]
cat2group2names[cat][group] = names
#HACK
#sam2color = {'LiBr': "#6baed6", 'BrBu': "#3182bd", 'MeRi': "#08519c", # blue
# 'LaBo': "#74c476", 'FoCh': "#31a354", 'JaMa': "#006d2c"}
sam2color = {'LiBr': "#525252", 'BrBu': "#969696", 'MeRi': "#cccccc", # gray
'LaBo': "#2171b5", 'FoCh': "#6baed6", 'JaMa': "#bdd7e7"} # blue
sam2data = {}
sam2marker = {}
name2cat = {}
for cat, g2n in cat2group2names.iteritems():
for i, group in enumerate(xlabels): # each timepoint
names = g2n[group]
if i == 0:
name2cat[names[0].split('-')[0]] = cat
for name in names:
sam = name.split('-')[0]
y = name2obj[name][attr]
if sam not in sam2data:
sam2data[sam] = [y]
#sam2color[sam] = name2obj[name].color
sam2marker[sam] = name2obj[name].marker
else:
sam2data[sam].append(y)
lines = []
linenames = []
for sam, ydata in sam2data.iteritems():
l, = axes.plot(xdata, ydata, color=sam2color[sam],
marker=sam2marker[sam], linestyle='-',
markeredgecolor=sam2color[sam])
if sam in name2cat: #legend
lines.append(l)
linenames.append(name2cat[sam])
drawcommon.set_grid(axes)
drawcommon.set_legend(axes, lines, linenames)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, xlabels)
drawcommon.adjust_ticklabels(axes, xrotation=30)
axes.set_xlim(0.5, len(xdata) + 0.5)
drawcommon.set_labels(axes, xlabel="Group", ylabel=attr.title())
axes.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
def draw_track_clone_no_matched(clone, data, groups, outbase, opts):
axes, fig, pdf = drawcommon.get_axes(outfile=outbase,
outfmt=opts.plotformat, dpi=opts.dpi)
xdata = range(1, len(groups) + 1)
axes.boxplot(data)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, groups)
#drawcommon.set_labels(axes, "Clone %s" % clone, "Groups", "Clone size")
axes.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
drawcommon.write_image(fig, pdf, opts.plotformat, outbase, opts.dpi)
def draw_track_clone_hack(clone, rows, groups, outbase, opts):
axes, fig, pdf = drawcommon.get_axes(outfile=outbase,
outfmt=opts.plotformat, dpi=opts.dpi)
#sorted_groups = [
# "cd4-naive-baseline", "cd4-naive-postchemo", "cd4-naive-week6", "cd4-naive-week14", "cd4-naive-week20",
# "cd4-effector-baseline", "cd4-effector-postchemo", "cd4-effector-week6", "cd4-effector-week14", "cd4-effector-week20",
# "cd4-central-memory-baseline", "cd4-central-memory-postchemo", "cd4-central-memory-week6", "cd4-central-memory-week14", "cd4-central-memory-week20",
# "cd4-stemcell-memory-baseline", "cd4-stemcell-memory-postchemo", "cd4-stemcell-memory-week6", "cd4-stemcell-memory-week14", "cd4-stemcell-memory-week20",
# "cd8-naive-baseline", "cd8-naive-postchemo", "cd8-naive-week6", "cd8-naive-week14", "cd8-naive-week20",
# "cd8-effector-baseline", "cd8-effector-postchemo", "cd8-effector-week6", "cd8-effector-week14", "cd8-effector-week20",
# "cd8-central-memory-baseline", "cd8-central-memory-postchemo", "cd8-central-memory-week6", "cd8-central-memory-week14", "cd8-central-memory-week20",
# "cd8-stemcell-memory-baseline", "cd8-stemcell-memory-postchemo", "cd8-stemcell-memory-week6", "cd8-stemcell-memory-week14", "cd8-stemcell-memory-week20"
# ]
#sorted_groups = [
# "cd4-N-BL", "cd4-N-PC", "cd4-N-W6", "cd4-N-W14", "cd4-N-W20",
# "cd4-E-BL", "cd4-E-PC", "cd4-E-W6", "cd4-E-W14", "cd4-E-W20",
# "cd4-cMem-BL", "cd4-cMem-PC", "cd4-cMem-W6", "cd4-cMem-W14", "cd4-cMem-W20",
# "cd4-scMem-BL", "cd4-scMem-PC", "cd4-scMem-W6", "cd4-scMem-W14", "cd4-scMem-W20",
# "cd8-N-BL", "cd8-N-PC", "cd8-N-W6", "cd8-N-W14", "cd8-N-W20",
# "cd8-E-BL", "cd8-E-PC", "cd8-E-W6", "cd8-E-W14", "cd8-E-W20",
# "cd8-cMem-BL", "cd8-cMem-PC", "cd8-cMem-W6", "cd8-cMem-W14", "cd8-cMem-W20",
# "cd8-scMem-BL", "cd8-scMem-PC", "cd8-scMem-W6", "cd8-scMem-W14", "cd8-scMem-W20"
# ]
xdata = range(len(groups))
#group2index = {}
#for i, group in enumerate(groups):
# group2index[group] = i
for row in rows:
axes.plot(xdata, row, linestyle='-')
#ydata = []
#for group in sorted_groups:
# index = group2index[group]
# ydata.append(row[index])
#axes.plot(xdata, ydata, linestyle='-')
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
#xlabels = []
#for g in sorted_groups:
# xlabels.append(get_proper_hack(g))
#drawcommon.set_xticks(axes, xdata, xlabels)
#drawcommon.set_xticks(axes, xdata, sorted_groups)
drawcommon.set_xticks(axes, xdata, groups)
drawcommon.adjust_xticklabels(axes, size='xx-small', rotation=75)
drawcommon.adjust_yticklabels(axes, size='xx-small')
drawcommon.set_labels(axes, title="Clone %s" % clone, ylabel="Clone size")
#drawcommon.set_labels(axes, "Clone %s" % clone, "Groups", "Clone size")
drawcommon.write_image(fig, pdf, opts.plotformat, outbase, opts.dpi)
def draw_track_clone(clone, rows, groups, outbase, opts):
axes, fig, pdf = drawcommon.get_axes(outfile=outbase,
outfmt=opts.plotformat, dpi=opts.dpi)
xdata = range(len(groups))
for row in rows:
axes.plot(xdata, row, linestyle='-')
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, groups)
drawcommon.adjust_xticklabels(axes, size='xx-small', rotation=75)
drawcommon.set_labels(axes, "Clone %s" % clone, "Groups", "Clone size")
drawcommon.write_image(fig, pdf, opts.plotformat, outbase, opts.dpi)
def draw_plot(sam2time2val, outfile, timepoints=None):
axes, fig, pdf = drawcommon.get_axes(outfile=outfile)
group2color = {'IL7_baseline': "#c6dbef", 'IL7_postchemo': "#9ecae1",
'IL7_week6': "#6baed6", 'IL7_week14': "#3182bd",
'IL7_week20': "#08519c", 'none_baseline': "#d9d9d9",
'none_postchemo': "#bdbdbd", 'none_week6': "#969696",
'none_week14': "#636363", 'none_week20': "#252525"}
groups = ['IL7', 'none']
group2sam = {'IL7': ['LaBo', 'FoCh', 'JaMa'], 'none': ['LiBr', 'BrBu', 'MeRi']}
if timepoints is None:
timepoints = ['baseline', 'postchemo', 'week6', 'week14', 'week20']
barwidth = (1.0 - 0.25) / len(timepoints)
sam_per_group = 3 # number of sample per group
xticks = []
ymin = 20
ymax = 0
for i, group in enumerate(groups):
xdata = [x + i * sam_per_group + 1 for x in xrange(sam_per_group)]
samples = group2sam[group]
num_times = len(timepoints)
group_xticks = [x + float(num_times) / 2.0 * barwidth for x in xdata]
xticks.extend(group_xticks)
for j, timepoint in enumerate(timepoints):
t_xdata = [x + j * barwidth for x in xdata]
color = group2color["%s_%s" % (group, timepoint)]
ydata = []
for sam in samples:
y = sam2time2val[sam][timepoint]
ydata.append(y)
ymin = min(ymin, y)
ymax = max(ymax, y)
line = axes.bar(t_xdata, ydata, barwidth, color=color, ecolor="#424242")
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
xlabels = ['LaBo_IL7', 'FoCh_IL7', 'JaMa_IL7', 'LiBr_none', 'BrBu_none', 'MeRi_none']
drawcommon.set_xticks(axes, xticks, xlabels)
#axes.set_xlim(xmin=8, xmax=min(maxx, 30))
axes.set_ylim(ymin - 1, ymax + 0.5)
drawcommon.set_labels(axes, xlabel='Samples', ylabel='Shannon Diversity Index')
drawcommon.write_image(fig, pdf, outname=outfile)
def draw_lendist(name2obj, attr, outfile, outfmt='pdf', dpi=300, bar=False):
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
group2line = {}
lines = []
linenames = []
barwidth = (1.0 - 0.35) / len(name2obj)
i = -1
minx = 30
maxx = 0
for name, obj in name2obj.iteritems():
i += 1
xdata, ydata = ld_get_sample_data(obj, attr)
minx = min(minx, min(xdata))
maxx = max(maxx, max(xdata))
if not bar:
line, = axes.plot(xdata, ydata, color=obj.color, marker=obj.marker,
markeredgecolor=obj.color, linestyle='-')
lines.append(line)
else:
group_xdata = [x + barwidth * i for x in xdata]
line = axes.bar(group_xdata, ydata, barwidth,
color=obj.color, ecolor="#424242") #,
#edgecolor=g2color[g], ecolor=g2color[g])
lines.append(line[0])
linenames.append(obj.name)
if obj.group not in group2line:
group2line[obj.group] = line
if bar:
xticks = [x + 0.325 for x in xrange(minx, maxx + 1)]
xlabels = [str(x) for x in xdata]
drawcommon.set_xticks(axes, xticks, xlabels)
axes.set_xlim(xmin=8, xmax=min(maxx, 30))
axes.set_ylim(bottom=-0.005)
if len(linenames) > 10:
linenames = sorted(group2line.keys())
lines = [group2line[group] for group in linenames]
drawcommon.set_grid(axes)
drawcommon.set_legend(axes, lines, linenames)
drawcommon.edit_spine(axes)
drawcommon.set_labels(axes, xlabel='Length', ylabel='%% of total %s' % attr)
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
def draw_gene_usage(name2obj, attr, type, outbase, genes, opts=None):
'''xaxis: genes
yaxis: relative usage
one line/ sample
'''
if opts:
axes, fig, pdf = drawcommon.get_axes(outfile=outbase,
outfmt=opts.plotformat, dpi=opts.dpi)
else:
axes, fig, pdf = drawcommon.get_axes(outfile=outbase)
#genes = sorted(genes)
genes = libcommon.sort_by_gene_number(genes)
xdata = range(len(genes))
group2line = {}
lines = []
linenames = []
for name, obj in name2obj.iteritems():
ydata = gu_get_sample_data(obj, attr, type, genes)
line, = axes.plot(xdata, ydata, color=obj.color, marker=obj.marker,
markeredgecolor=obj.color, linestyle='-')
lines.append(line)
linenames.append(obj.name)
if obj.group not in group2line:
group2line[obj.group] = line
if len(linenames) > 10:
linenames = sorted(group2line.keys())
lines = [group2line[group] for group in linenames]
drawcommon.set_legend(axes, lines, linenames)
drawcommon.adjust_ticklabels(axes, xrotation=75)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
xlabels = [g.lstrip("TRB") for g in genes]
drawcommon.set_xticks(axes, xdata, xlabels)
axes.set_xlim(-0.5, len(xlabels) + 0.5)
axes.set_ylim(bottom=-0.005)
drawcommon.adjust_ticklabels(axes, xrotation=75)
drawcommon.set_labels(axes, xlabel="Gene", ylabel="%% of total %s" % attr)
if opts:
drawcommon.write_image(fig, pdf, opts.plotformat, outbase, opts.dpi)
else:
drawcommon.write_image(fig, pdf, outname=outbase)
def diff_plot(x2yvec, outbase, xlabels=[], label="", xmin=None, xmax=None, ymin=None, ymax=None, ylabel=""):
if not x2yvec:
return
axes, fig, pdf = drawcommon.get_axes(outfile=outbase)
if not xlabels:
xlabels = sorted(x2yvec.keys())
xdata = range(len(xlabels))
ydata = [x2yvec[x] for x in xlabels]
axes.boxplot(ydata)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
# Set limits
if xmin:
if isinstance(xlabels[0], numbers.Number):
xmin += xdata[0] - xlabels[0] + 1
else:
xmin = -0.5
if xmax:
if isinstance(xlabels[0], numbers.Number):
xmax += xdata[0] - xlabels[0] + 1
else:
xmax = len(xlabels) + 0.5
if isinstance(xlabels[0], numbers.Number) or isinstance(xlabels[0], tuple):
xlabels = [str(x) for x in xlabels]
xlabels = [x.replace("TRB", "") for x in xlabels]
drawcommon.set_xticks(axes, [x + 1 for x in xdata], xlabels)
axes.plot([xmin, xmax], [0, 0], ls="-", color="#252525")
axes.set_xlim(xmin, xmax)
if ymin and ymax:
axes.set_ylim(ymin, ymax)
elif ymin:
# axes.set_ylim(bottom=-0.005)
axes.set_ylim(bottom=ymin)
drawcommon.adjust_ticklabels(axes, xrotation=75)
if not ylabel:
ylabel = "Difference in %s" % label
drawcommon.set_labels(axes, xlabel=label, ylabel=ylabel)
drawcommon.write_image(fig, pdf, "pdf", outbase, 300)
def diff_plot(n2diff, genes, outbase):
axes, fig, pdf = drawcommon.get_axes(outfile=outbase)
xdata = range(len(genes))
data = []
#for name, ydata in n2diff.iteritems():
#axes.plot(xdata, ydata, linestyle='None', marker='.')
for x in xdata:
ydata = [n2diff[name][x] for name in n2diff]
data.append(ydata)
axes.boxplot(data)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
xlabels = [g.lstrip("TRB") for g in genes]
drawcommon.set_xticks(axes, [x + 1 for x in xdata], xlabels)
axes.set_xlim(-0.5, len(xlabels) + 0.5)
#axes.set_ylim(bottom=-0.005)
drawcommon.adjust_ticklabels(axes, xrotation=75)
drawcommon.set_labels(axes, xlabel="Gene", ylabel="Difference in gene usage")
drawcommon.write_image(fig, pdf, 'pdf', outbase, 300)
def pair_group_cmp(medvec, vecs, genes, outfile):
axes, fig, pdf = drawcommon.get_axes(outfile=outfile)
xdata = range(len(genes))
data = []
#for vec in vecs:
#ydata = [v - medvec[i] for i, v in enumerate(vec)]
#axes.plot(xdata, ydata, linestyle='None', marker='.')
for x in xdata:
ydata = [vec[x] - medvec[x] for vec in vecs]
data.append(ydata)
axes.boxplot(data)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
xlabels = [g.lstrip("TRB") for g in genes]
#drawcommon.set_xticks(axes, xdata, xlabels)
drawcommon.set_xticks(axes, [x + 1 for x in xdata], xlabels)
axes.set_xlim(-0.5, len(xlabels) + 0.5)
#axes.set_ylim(bottom=-0.005)
drawcommon.adjust_ticklabels(axes, xrotation=75)
drawcommon.set_labels(axes, xlabel="Gene", ylabel="Difference in gene usage")
drawcommon.write_image(fig, pdf, 'pdf', outfile, 300)
def draw_diversity_plot(group2names, name2obj, attr, outfile, outfmt='pdf',
dpi=300):
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
xdata = range(1, len(group2names) + 1)
xlabels = sorted(group2names.keys())
data = []
for group in xlabels:
names = group2names[group]
vec = [name2obj[name][attr] for name in names]
data.append(vec)
axes.boxplot(data)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, xlabels)
drawcommon.adjust_ticklabels(axes, xrotation=30)
drawcommon.set_labels(axes, xlabel="Group", ylabel=attr.title())
axes.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
def draw_group_pairwise_similarity(group1, group2, vec11, vec12, vec22,
outfile, outfmt='pdf', dpi=300,
xmax=None, xmin=None, ymax=None, ymin=None):
# xaxis: G1_G1, G1_G2, G2_G2; yaxis: similarity index
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
xdata = range(1, 4)
xlabels = [group1, '%s_%s' % (group1, group2), group2]
data = [vec11, vec12, vec22]
axes.boxplot(data)
#axes.yaxis.grid(b=True, color='#3F3F3F', linestyle='-', linewidth=0.05)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, xlabels)
#axes.set_xlabel("Group", size='x-large', weight='bold')
#axes.set_ylabel(attr, size='x-large', weight='bold')
if not ymax or ymax > 1000:
axes.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
if xmin and xmax:
axes.set_xlim(xmin=xmin, xmax=xmax)
else:
if xmin:
axes.set_xlim(xmin=xmin)
elif xmax:
axes.set_xlim(xmax=xmax)
if ymin and ymax:
axes.set_ylim(ymin=ymin, ymax=ymax)
else:
if ymin:
axes.set_ylim(ymin=ymin)
elif ymax:
axes.set_ylim(ymax=ymax)
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
def draw_clonesize_dist_avr(name2obj, attr, outfile, outfmt='pdf', dpi=300):
# name2stat: key = sample name, val = CloneSizeStat
# attr = numclones/counts/numclones_cumul/counts_cumul/topfreqs/
# topfreqs_cumul
assert len(name2obj) > 0
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
obj0 = name2obj.values()[0]
xlabels = [str(x) for x in obj0.freqs]
if attr == 'topfreqs' or attr == 'topfreqs_cumul':
xlabels = [str(x + 1) for x in xrange(len(obj0.topfreqs))]
xdata = range(0, len(xlabels))
numtop = len(xdata)
#if attr == 'numclones': # or attr == 'numclones_cumul':
# axes.set_yscale('log')
g2ydata = {}
g2color = {}
for name, obj in name2obj.iteritems():
ydata = obj[attr]
g = obj.group
if g not in g2ydata:
g2ydata[g] = [[y] for y in ydata]
g2color[g] = obj.color
else:
assert len(g2ydata[g]) == len(ydata)
for i, y in enumerate(ydata):
g2ydata[g][i].append(y)
linenames = []
lines = []
#boxwidth = 0.05
#offset = boxwidth + 0.01
offset = 0.05
for i, g in enumerate(sorted(g2ydata.keys())):
g_xdata = [x + 0.5 + offset * (i - 1) for x in xdata]
g_xdata[0] += 0.35
ydata = g2ydata[g]
#axes.boxplot(ydata, positions=g_xdata, widths=boxwidth)
mean_ydata = [np.mean(ylist) for ylist in ydata]
std_ydata = [np.std(ylist) for ylist in ydata]
if attr == "numclones_cumul" or attr == "numclones":
mean_ydata = [log10(y) if y > 0 else 2.1 for y in mean_ydata]
std_ydata = get_logstd(ydata)
line, = axes.plot(g_xdata, mean_ydata, color=g2color[g], linestyle='-',
markeredgecolor=g2color[g], marker='o', lw=2)
lines.append(line)
linenames.append(g)
axes.errorbar(g_xdata, mean_ydata, yerr=std_ydata, color=g2color[g],
linestyle="None", marker="None")
drawcommon.set_grid(axes)
drawcommon.set_legend(axes, lines, linenames)
drawcommon.edit_spine(axes)
drawcommon.set_xticks(axes, xdata, xlabels)
axes.set_xlim(-0.5, len(xlabels) + 0.5)
if attr != "numclones_cumul" and attr != 'numclones':
axes.set_ylim(bottom=-0.005)
labels = cs_get_attr_plot_labels(attr, numtop)
drawcommon.set_labels(axes, labels[0], labels[1], labels[2])
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
def draw_gene_usage_avr(name2obj, attr, type, outbase, genes, opts, bar=False):
'''xaxis: genes
yaxis: relative usage
one line/ sample
'''
axes, fig, pdf = drawcommon.get_axes(outfile=outbase,
outfmt=opts.plotformat, dpi=opts.dpi)
#genes = sorted(genes)
#genes = sorted(genes, key=lambda g: libcommon.get_gene_number(g))
genes = libcommon.sort_by_gene_number(genes)
xdata = range(len(genes))
g2ydata = {}
g2color = {}
for name, obj in name2obj.iteritems():
ydata = gu_get_sample_data(obj, attr, type, genes)
g = obj.group
if g not in g2ydata:
g2ydata[g] = [[y] for y in ydata]
g2color[g] = obj.color
else:
assert len(g2ydata[g]) == len(ydata)
for i, y in enumerate(ydata):
g2ydata[g][i].append(y)
barwidth = (1.0 - 0.35) / len(g2ydata.keys())
lines = []
linenames = []
#for g, ydata in g2ydata.iteritems():
for i, g in enumerate(sorted(g2ydata.keys())):
ydata = g2ydata[g]
ydata = [ylist if ylist else [0.0] for ylist in ydata]
mean_ydata = [np.mean(ylist) for ylist in ydata]
std_ydata = [np.std(ylist) for ylist in ydata]
if not bar:
line, = axes.plot(xdata, mean_ydata, color=g2color[g],
linestyle='-', markeredgecolor=g2color[g],
marker='o')
lines.append(line)
axes.errorbar(xdata, mean_ydata, yerr=std_ydata, color=g2color[g],
linestyle="None", marker="None")
else:
group_xdata = [x + barwidth * i for x in xdata]
line = axes.bar(group_xdata, mean_ydata, barwidth, yerr=std_ydata,
color=g2color[g], ecolor="#424242",
edgecolor=g2color[g])
lines.append(line[0])
linenames.append(g)
drawcommon.set_legend(axes, lines, linenames)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
xlabels = [g.lstrip("TRB") for g in genes]
if not bar:
drawcommon.set_xticks(axes, xdata, xlabels)
else:
xticks = [x + 0.325 for x in xdata]
drawcommon.set_xticks(axes, xticks, xlabels)
axes.set_xlim(-0.5, len(xlabels) + 0.5)
axes.set_ylim(bottom=-0.005)
drawcommon.adjust_ticklabels(axes, xrotation=75)
drawcommon.set_labels(axes, xlabel="Gene", ylabel="%% of total %s" % attr)
drawcommon.write_image(fig, pdf, opts.plotformat, outbase, opts.dpi)
def draw_lendist_avr(name2obj, attr, outfile, outfmt='pdf', dpi=300, bar=False):
axes, fig, pdf = drawcommon.get_axes(outfile=outfile, outfmt=outfmt,
dpi=dpi)
g2x2y = {}
g2numsam = {}
g2color = {}
minx = 30
maxx = 0
for name, obj in name2obj.iteritems():
xdata, ydata = ld_get_sample_data(obj, attr)
g = obj.group
if g not in g2numsam:
g2numsam[g] = 1
g2color[g] = obj.color
else:
g2numsam[g] += 1
minx = min(minx, min(xdata))
maxx = max(maxx, max(xdata))
for i, x in enumerate(xdata):
y = ydata[i]
if g not in g2x2y:
g2x2y[g] = {x: [y]}
elif x not in g2x2y[g]:
g2x2y[g][x] = [y]
else:
g2x2y[g][x].append(y)
lines = []
linenames = []
xdata = range(minx, maxx + 1)
barwidth = (1.0 - 0.35) / len(g2x2y.keys())
for i, g in enumerate(sorted(g2x2y.keys())):
numsam = g2numsam[g]
mean_ydata = []
std_ydata = []
for x in xdata:
if x not in g2x2y[g]:
mean_ydata.append(0)
std_ydata.append(0)
else:
ylist = g2x2y[g][x] + [0] * (numsam - len(g2x2y[g][x]))
mean_ydata.append(np.mean(ylist))
std_ydata.append(np.std(ylist))
if not bar:
line, = axes.plot(xdata, mean_ydata, color=g2color[g], marker='o',
markeredgecolor=g2color[g], linestyle='-')
axes.errorbar(xdata, mean_ydata, yerr=std_ydata, color=g2color[g],
linestyle='None', marker='None')
lines.append(line)
else:
group_xdata = [x + barwidth * i for x in xdata]
line = axes.bar(group_xdata, mean_ydata, barwidth, yerr=std_ydata,
color=g2color[g], ecolor="#424242") #,
#edgecolor=g2color[g], ecolor=g2color[g])
lines.append(line[0])
linenames.append(g)
if bar:
xticks = [x + 0.325 for x in xdata]
xlabels = [str(x) for x in xdata]
drawcommon.set_xticks(axes, xticks, xlabels)
axes.set_xlim(xmin=8, xmax=min(maxx, 30))
axes.set_ylim(bottom=-0.005)
drawcommon.set_legend(axes, lines, linenames)
drawcommon.set_grid(axes)
drawcommon.edit_spine(axes)
drawcommon.set_labels(axes, xlabel='Length', ylabel='%% of total %s' % attr)
drawcommon.write_image(fig, pdf, outfmt, outfile, dpi)
