def plot(self, axs):
c = 0
for line in self.lines:
regions = intervals.split(line.means, self.num_regions)
error_pos_regions = intervals.split(line.error_pos,
self.num_regions)
error_neg_regions = intervals.split(line.error_neg,
self.num_regions)
alpha = 0.3 if line.dim else 0.8
for i in range(0, self.num_regions):
axs[i].plot(regions[i],
label=line.label,
alpha=alpha,
color=line.color,
linewidth=0.8)
axs[i].fill_between(np.arange(0, len(regions[i])),
error_neg_regions[i],
error_pos_regions[i],
color=line.color,
alpha=0.2)
self.reorder_axes(i, axs)
c += 1
# Remove y ticks for anything but the leftmost subplot
for i in range(1, self.num_regions):
axs[i].yaxis.set_visible(False)
if self.legend:
self.set_legend(axs)
def plot(self, axs):
c = 0
max_xlim = 0
heatmaps = defaultdict(list)
labels = []
for value in self.values:
z_scores = intervals.split(value.mannwhitneyu_pvalues, self.num_regions)
max_xlim = len(z_scores[0]) + 1
for i in range(0, self.num_regions):
heatmaps[value.label, i].append(z_scores[i])
labels.append(value.label)
c += 1
# Remove y ticks for anything but the leftmost subplot
# for label in labels:
for i in range(0, self.num_regions):
axs[i].pcolor(
heatmaps[value.label, i],
cmap=self.colors,
vmax=self.vmax, vmin=self.vmin,
alpha=1
)
axs[i].set_yticklabels([''])
axs[i].set_yticks([''])
axs[i].xaxis.set_visible(False)
# axs[i].set_xlim(0, 351)
axs[i].set_xlim(0, max_xlim)
def plot(self, axs):
c = 0
max_xlim = 0
heatmaps = defaultdict(list)
labels = []
for value in self.values:
p_values = intervals.split(value.p_values, self.num_regions)
max_xlim = len(p_values[0]) + 1
for i in range(0, self.num_regions):
heatmaps[value.label, i].append(p_values[i])
labels.append(value.label)
c += 1
# Remove y ticks for anything but the leftmost subplot
# for label in labels:
for i in range(0, self.num_regions):
axs[i].pcolor(heatmaps[value.label, i],
cmap=self.colors,
vmax=self.vmax,
vmin=self.vmin,
alpha=1)
sns.despine(ax=axs[i],
top=True,
left=True,
right=True,
bottom=False)
# axs[i].set_yticklabels([''])
# axs[i].set_yticks([''])
axs[i].xaxis.set_visible(False)
# axs[i].set_xlim(0, 351)
axs[i].set_xlim(0, max_xlim)
axs[i].yaxis.set_visible(False)
def plot(self, axs, legend_ax, linewidth=0.8):
# axs[2].axvline(117) # hacking for paper purposes to show a line at position 117
c = 0
for line in self.lines:
values = line.values
regions = intervals.split(values, self.num_regions)
error_pos_regions = intervals.split(line.error_pos,
self.num_regions)
error_neg_regions = intervals.split(line.error_neg,
self.num_regions)
for i in range(0, self.num_regions):
if line.dim:
alpha = 0.3
else:
alpha = 0.8
axs[i].plot(regions[i],
color=line.color,
label=line.label,
alpha=alpha,
linewidth=linewidth)
axs[i].fill_between(np.arange(0, len(regions[i])),
error_pos_regions[i],
error_neg_regions[i],
color=line.color,
alpha=0.2)
axs[i].yaxis.set_ticks_position('left')
axs[i].xaxis.set_ticks_position('bottom')
axs[i].set_xlim(0, len(regions[i]) - 1)
if i > 0:
axs[i].yaxis.set_visible(False)
if (len(regions[0]) == 350) or (len(regions[0])
== 351): # TODO hacky
self.renumber_axes(i, axs)
if (len(regions[0]) == 100):
self.renumber_axes(i, axs)
c += 1
if legend_ax:
self.set_legend(axs, legend_ax)
for ax in axs:
ax.set_ylim(self.ymin, self.ymax)
return axs
def plot(self, axs):
c = 0
for line in self.lines:
regions = intervals.split(line.means, self.num_regions)
error_pos_regions = intervals.split(
line.error_pos, self.num_regions
)
error_neg_regions = intervals.split(
line.error_neg, self.num_regions
)
for i in range(0, self.num_regions):
if line.dim:
alpha = 0.3
else:
alpha = 0.8
axs[i].plot(
regions[i], color=line.color, label=line.label,
alpha=alpha, linewidth=0.8
)
axs[i].fill_between(
np.arange(0, len(regions[i])),
error_pos_regions[i],
error_neg_regions[i],
color=line.color,
alpha=0.2
)
axs[i].yaxis.set_ticks_position('left')
axs[i].xaxis.set_ticks_position('bottom')
if i > 0:
axs[i].yaxis.set_visible(False)
if(len(regions[0]) == 350): # TODO kinda hacky
self.renumber_axes(i, axs)
c+=1
self.set_legend(axs)
def plot(self, axs):
c = 0
heatmaps = defaultdict(list)
labels = []
for value in self.values:
pvalues = intervals.split(value.fisher_pvalues, self.num_regions)
for i in range(0, self.num_regions):
heatmaps[value.label, i].append(pvalues[i])
labels.append(value.label)
c += 1
# Remove y ticks for anything but the leftmost subplot
# for label in labels:
for i in range(0, self.num_regions):
axs[i].pcolor(heatmaps[value.label, i],
cmap=self.colors,
vmax=20,
vmin=-20)
axs[i].set_yticklabels([''])
axs[i].set_yticks([''])
# axs[i].yaxis.set_visible(False)
axs[i].xaxis.set_visible(False)
axs[i].set_xlim(0, 351)