def scatter3d(y: list, x: list, z: list, k: list, window: str, title: str,
xlabel: str, ylabel: str, zlabel: str, zlims: list):
cmap = get_cmap(len(k), name='rainbow')
fig = plotter.figure(num=window, figsize=(19, 11), dpi=138)
ax = fig.gca(projection='3d')
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.set_zlabel(zlabel)
ax.set_zlim3d(zlims)
ax.ticklabel_format(axis='z', style='sci', scilimits=(0, 0))
for i, _k in enumerate(k):
ax.scatter(xs=x[i], ys=y[i], zs=z[i], color=cmap(i), label=_k)
ax.view_init(elev=30, azim=225)
ax.legend(prop={'size': LEG_LABEL_SIZE})
return fig, ax
pass
def plot_output(fname: str, data: list):
cmap = colors.get_cmap(len(data), name='rainbow')
fig, ax = plotter.subplots(num=f'development_score_trend_{fname}',
figsize=(8, 5),
dpi=35)
ax.set_title('Network Development -- Iterations / Scores trend')
ax.set_xlabel('Iteration')
ax.set_ylabel('Score')
ax.set_xlim([-10, 2500])
ax.set_ylim([0.0, 3.5e-05])
ax.ticklabel_format(axis='y', style='sci', scilimits=(0, 0))
for i, d in enumerate(data):
ax.plot(d, color=cmap(i), linewidth=1.0)
fig.subplots_adjust(left=0.05,
right=0.96,
bottom=0.05,
top=0.96,
wspace=0.0,
hspace=0.0)
return fig, ax
def scatter2d(y: list, x: list, k: list, window: str, title: str, xlabel: str,
ylabel: str, ylims: list):
cmap = get_cmap(len(k), name='rainbow')
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.set_ylim(ylims)
ax.ticklabel_format(axis='y', style='sci', scilimits=(0, 0))
for i, _k in enumerate(k):
ax.scatter(x=x[i], y=y[i], color=cmap(i), label=_k)
ax.legend(prop={'size': LEG_LABEL_SIZE})
fig.subplots_adjust(left=0.04,
right=0.95,
bottom=0.13,
top=0.95,
wspace=0.0,
hspace=0.0)
return fig, ax
def bars(y: list,
x: list,
window: str,
title: str,
xlabel: str,
ylabel: str,
ylims: list,
legend_labels: list,
bars_offset=5):
n = len(y[0])
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
if ylims:
ax.set_ylim(ylims)
cmap = get_cmap(n, 'rainbow')
colors = [cmap(i) for i in range(n)]
__x = 0
for h in y:
ax.bar(x=[__x + i for i in range(n)],
height=h,
color=colors,
align='center')
__x += len(h) + bars_offset
plotter.xticks(np.arange(1.5,
len(y) * (n + bars_offset), n + bars_offset),
x,
rotation=TICK_ROT,
size=TICK_SIZE)
ax.legend(prop={'size': LEG_LABEL_SIZE},
handles=[
mpatches.Patch(color=cmap(i), label=legend_labels[i])
for i in range(n)
])
fig.subplots_adjust(left=0.04,
right=0.95,
bottom=0.13,
top=0.95,
wspace=0.0,
hspace=0.0)
return fig, ax
def hbars(x: list,
y: list,
window: str,
title: str,
xlabel: str,
ylabel: str,
xlims: list,
legend_labels: list,
bars_offset=5):
n = len(x[0])
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
if xlims:
ax.set_xlim(xlims)
cmap = get_cmap(n, 'rainbow')
colors = [cmap(i) for i in range(n)]
__y = 0
for w in x:
ax.barh(y=[__y + i for i in range(n)],
width=w,
color=colors,
align='center')
__y += len(w) + bars_offset
plotter.yticks(np.arange(1.5,
len(x) * (n + bars_offset), n + bars_offset),
y,
rotation=TICK_ROT,
size=TICK_SIZE)
plotter.legend(handles=[
mpatches.Patch(color=cmap(i), label=legend_labels[i]) for i in range(n)
])
fig.subplots_adjust(left=0.10,
right=0.95,
bottom=0.05,
top=0.95,
wspace=0.0,
hspace=0.0)
return fig, ax
def tbars(y: list, x: list, thresholds: list, window: str, title: str,
xlabel: str, ylabel: str, ylims: list, legend_label_fmt: str):
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
if ylims:
ax.set_ylim(ylims)
cmap = get_cmap(len(thresholds), 'rainbow')
colors = [cmap(i) for i in range(len(thresholds))]
__x = 0
for h in y:
ax.bar(x=[__x + i for i in range(len(thresholds))],
height=h,
color=colors,
align='center')
__x += len(thresholds) + 3
plotter.xticks(np.arange(1.5,
len(y) * (len(thresholds) + 3),
len(thresholds) + 3),
x,
rotation=TICK_ROT,
size=TICK_SIZE)
plotter.legend(handles=[
mpatches.Patch(color=cmap(i), label=legend_label_fmt.format(k=k))
for i, k in enumerate(thresholds)
])
fig.subplots_adjust(left=0.04,
right=0.95,
bottom=0.13,
top=0.95,
wspace=0.0,
hspace=0.0)
return fig, ax
def boxplot(y: list, x: list, window: str, title: str, xlabel: str,
ylabel: str, ylims: list):
cmap = get_cmap(len(y), name='rainbow')
# Model Tests -- Scores distribution #
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.ticklabel_format(axis='y', style='sci', scilimits=(0, 0))
ax.set_ylim(ylims)
ax.boxplot(
x=y,
labels=x,
# whis=[5, 95], # 1.5,
# meanline=True,
flierprops=dict(markerfacecolor='r', marker='D'),
)
plotter.xticks(list(range(1,
len(x) + 1)),
x,
rotation=TICK_ROT,
size=TICK_SIZE)
fig.subplots_adjust(left=0.04,
right=0.95,
bottom=0.13,
top=0.95,
wspace=0.0,
hspace=0.0)
return fig, ax
def twin_bars(y1: list,
y2: list,
x: list,
window: str,
title: str,
xlabel: str,
y1label: str,
y2label: str,
y1lims: list,
y2lims: list,
legend_labels: list,
bars_offset=5):
cmap = get_cmap(2, 'rainbow')
colors = [cmap(i) for i in range(2)]
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(y1label, color=colors[0])
if y1lims:
ax.set_ylim(y1lims)
ax.tick_params('y', colors=colors[0])
__x = 0.0
for h1 in y1:
ax.bar(x=__x, height=h1, color=colors[0], align='center', width=1.0)
__x += 2 * bars_offset
__x = 3.0
plotter.xticks(np.arange(1.5,
len(y1) * (2 * bars_offset), 2 * bars_offset),
x,
rotation=TICK_ROT,
size=TICK_SIZE)
plotter.legend(handles=[
mpatches.Patch(color=cmap(i), label=legend_labels[i]) for i in range(2)
])
ax2 = ax.twinx()
for h2 in y2:
ax2.bar(x=__x, height=h2, color=colors[1], align='center', width=1.0)
__x += 2 * bars_offset
ax2.set_ylabel(y2label, color=colors[1])
if y2lims:
ax.set_ylim(y2lims)
ax2.tick_params('y', colors=colors[1])
fig.subplots_adjust(left=0.04,
right=0.95,
bottom=0.13,
top=0.95,
wspace=0.0,
hspace=0.0)
return fig, ax
def htwin_bars(x1: list,
x2: list,
y: list,
window: str,
title: str,
x1label: str,
x2label: str,
ylabel: str,
x1lims: list,
x2lims: list,
legend_labels: list,
bars_offset=5):
cmap = get_cmap(2, 'rainbow')
colors = [cmap(i) for i in range(2)]
fig, ax = plotter.subplots(num=window, figsize=(19, 11), dpi=138)
ax.set_title(title)
ax.set_xlabel(x1label, color=colors[0])
ax.set_ylabel(ylabel)
if x1lims:
ax.set_xlim(x1lims)
ax.tick_params('x', colors=colors[0])
__y = 0.0
for w1 in x1:
ax.barh(y=__y, width=w1, color=colors[0], align='center', height=1.0)
__y += 2 * bars_offset
__y = 3.0
plotter.yticks(np.arange(1.5,
len(x1) * (2 * bars_offset), 2 * bars_offset),
y,
rotation=TICK_ROT,
size=TICK_SIZE)
plotter.legend(handles=[
mpatches.Patch(color=cmap(i), label=legend_labels[i]) for i in range(2)
])
ax2 = ax.twiny()
for w2 in x2:
ax2.barh(y=__y, width=w2, color=colors[1], align='center', height=1.0)
__y += 2 * bars_offset
ax2.set_xlabel(x2label, color=colors[1])
if x2lims:
ax.set_xlim(x2lims)
ax2.tick_params('x', colors=colors[1])
fig.subplots_adjust(left=0.10,
right=0.95,
bottom=0.05,
top=0.875,
wspace=0.0,
hspace=0.0)
return fig, ax