def time_sum_chart(names, values, title="", xlabel="", ylabel=""):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
size = len(values)
x = xrange(size)
n, bins, patches = ax.hist(x, size,
range=(0, size), weights=values, facecolor='green', alpha=0.75)
xticks = map(lambda x: x+0.5, x)
ax.set_xticks(xticks)
ax.set_xticklabels(names)
for label in ax.xaxis.get_ticklabels():
label.set_fontsize(7)
label.set_rotation(-45)
label.set_horizontalalignment('left')
ax.yaxis.set_major_formatter(mpl_FuncFormatter(
lambda time, pos: utils.time_to_string(time)[:10]))
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure, with_legend=False, xlock=True)
def histogram(names, values, title="", xlabel="", ylabel=""):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
colors = [cm.hsv(float(i)/len(values)) for i in xrange(len(values))]
n, bins, patches = ax.hist(
values, 10, normed=0, histtype="bar", label=names, color=colors)
for label in ax.xaxis.get_ticklabels():
label.set_rotation(-35)
label.set_horizontalalignment('left')
ax.plegend = ax.legend(loc="upper right", fancybox=True, shadow=True)
ax.xaxis.set_major_formatter(mpl_FuncFormatter(
lambda time, pos: utils.time_to_string(time)[:-7]))
ax.set_xlim(xmin=0)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure, xlock=True)
def histogram(names, values, title="", xlabel="", ylabel=""):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
colors = [cm.hsv(float(i) / len(values)) for i in xrange(len(values))]
n, bins, patches = ax.hist(values,
10,
normed=0,
histtype="bar",
label=names,
color=colors)
for label in ax.xaxis.get_ticklabels():
label.set_rotation(-35)
label.set_horizontalalignment('left')
ax.plegend = ax.legend(loc="upper right", fancybox=True, shadow=True)
ax.xaxis.set_major_formatter(
mpl_FuncFormatter(lambda time, pos: utils.time_to_string(time)[:-7]))
ax.set_xlim(xmin=0)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure, xlock=True)
def histogram(names, values, title="", xlabel="", ylabel=""):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
lines_config = []
cpalete = cm.get_cmap()
vals_size = len(values)
for i, vals in enumerate(values):
times = [time for time, val in vals.items()]
times.sort()
new_x, new_y = [], []
values_len = 0
for time in times:
time_range = time // 5000
if time_range < values_len:
new_y[time_range] += vals[time]
else:
new_x.append(time)
new_y.append(vals[time])
values_len += 1
if len(new_y) > 0:
# TODO: how to add correct version of x-axis values??
xvals = range(0, values_len)
color = cm.Paired(float(i)/vals_size)
line, = ax.plot(xvals, new_y, color=color,
lw=1, label=names[i])
lines_config.append(LineConfig(line, xvals, new_y, color))
for label in ax.xaxis.get_ticklabels():
label.set_fontsize(9)
label.set_rotation(-35)
label.set_horizontalalignment('left')
ax.plegend = ax.legend(loc="upper right", fancybox=True, shadow=True)
_register_histogram_pick_legend(ax, ax.plegend, lines_config)
ax.xaxis.set_major_formatter(mpl_FuncFormatter(
lambda time, pos: utils.time_to_string(time)[:-7]))
ax.set_xlim(xmin=0)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure)
def _empty_chart(title="", xlabel="", ylabel=""):
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
ax.text(0.5, 0.5, 'No measured data.', color='#aa0000', fontsize=36,
ha='center', va='center', alpha=1.0, transform=ax.transAxes)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure)
def _empty_chart(title="", xlabel="", ylabel=""):
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
ax.text(0.5, 0.5, 'No measured data.', color='#aa0000', fontsize=36,
ha='center', va='center', alpha=1.0, transform=ax.transAxes)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure)
def place_chart(names, values, title="", xlabel="", ylabel=""):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
llines = []
for line, name in enumerate(names):
xvalues, yvalues = zip(*values[line])
llines.append((name, xvalues, yvalues))
# fill data
lines_config = []
for ldata in llines:
name, xvalues, yvalues = ldata
line, = ax.plot(
xvalues, yvalues, 'o-', drawstyle='steps-post', label=name)
lines_config.append(
LineConfig(line, xvalues, yvalues, line.get_color()))
for label in ax.xaxis.get_ticklabels():
label.set_rotation(-35)
label.set_horizontalalignment('left')
# set legend
ax.plegend = ax.legend(loc="upper left", fancybox=True, shadow=True)
ax.register_pick_legend(ax.plegend, lines_config)
ax.xaxis.set_major_formatter(mpl_FuncFormatter(
lambda time, pos: utils.time_to_string(time)[:-7]))
# set basic properties
ax.set_xlim(xmin = 0)
ax.get_figure().tight_layout()
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure)
def place_chart(names, values, title="", xlabel="", ylabel=""):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
ax = figure.add_subplot(111, projection=BasicChart.name)
# fill data
lines_config = []
for i, (xvalues, yvalues) in enumerate(values):
line, = ax.plot(xvalues,
yvalues,
'o-',
drawstyle="steps-post",
label=names[i])
lines_config.append(
LineConfig(line, xvalues, yvalues, line.get_color()))
for label in ax.xaxis.get_ticklabels():
label.set_rotation(-35)
label.set_horizontalalignment('left')
# set legend
ax.plegend = ax.legend(loc="upper left", fancybox=True, shadow=True)
ax.register_pick_legend(ax.plegend, lines_config)
ax.xaxis.set_major_formatter(
mpl_FuncFormatter(lambda time, pos: utils.time_to_string(time)[:-7]))
# set basic properties
ax.set_xlim(xmin=0)
ax.get_figure().tight_layout()
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
return ChartWidget(figure)
def utilization_chart(names,
values,
title="",
xlabel="",
ylabel="",
idles=None):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
# TODO: Change it to TimeChart
ax = figure.add_subplot(111, projection=BasicChart.name)
ywidth = 2
yticks = []
if idles is not None:
for i, lidle in enumerate(idles):
y = ((i+1) * ywidth) + (i+1)
ax.broken_barh(
lidle, (y, ywidth),
edgecolor='face', facecolor='#EAA769')
for i, ldata in enumerate(values):
y = (ywidth+1) * (i+ 1)
yticks.append(y + ywidth/2)
ax.broken_barh(
ldata, (y, ywidth),
edgecolor='face', facecolor='green')
ax.set_yticks(yticks)
ax.set_yticklabels(names)
for label in ax.xaxis.get_ticklabels():
label.set_rotation(-35)
label.set_horizontalalignment('left')
for i, label in enumerate(ax.yaxis.get_ticklabels()):
# add 3 white space on the begining of name
names[i] = " %s" % names[i]
label.set_horizontalalignment("left")
label.set_verticalalignment('center')
p = mpl_Rectangle((0, 0), 1, 1, edgecolor='green', fc='green', alpha=0.75)
if idles is not None:
idle_leg = mpl_Rectangle((0,0), 1, 1, edgecolor='#eaa769', fc='#eaa769', alpha=0.75)
ax.plegend = ax.legend(
[p,idle_leg], ["Running", "Idle"], loc="upper left", fancybox=True, shadow=True)
else:
ax.plegend = ax.legend(
[p], ["Running"], loc="upper left", fancybox=True, shadow=True)
ax.xaxis.grid(True, linestyle="-", which='major', color='black', alpha=0.7)
ax.xaxis.set_major_formatter(mpl_FuncFormatter(
lambda time, pos: utils.time_to_string(time)[:-7]))
ax.set_xlim(xmin=0)
ax.get_figure().tight_layout()
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
# resize figure
w, h = figure.get_size_inches()
figure.set_size_inches(w, len(values) * 0.4)
return ChartWidget(figure, ylock=True)
def utilization_chart(names,
values,
title="",
xlabel="",
ylabel="",
idles=None):
if not names or not values:
return _empty_chart(title, xlabel, ylabel)
figure = mpl_Figure()
canvas = mpl_FigureCanvas(figure)
figure.set_canvas(canvas)
# TODO: Change it to TimeChart
ax = figure.add_subplot(111, projection=BasicChart.name)
ywidth = 2
yticks = []
if idles is not None:
for i, lidle in enumerate(idles):
y = ((i + 1) * ywidth) + (i + 1)
ax.broken_barh(lidle, (y, ywidth),
edgecolor='face',
facecolor='#EAA769')
for i, ldata in enumerate(values):
y = (ywidth + 1) * (i + 1)
yticks.append(y + ywidth / 2)
ax.broken_barh(ldata, (y, ywidth), edgecolor='face', facecolor='green')
ax.set_yticks(yticks)
ax.set_yticklabels(names)
for label in ax.xaxis.get_ticklabels():
label.set_rotation(-35)
label.set_horizontalalignment('left')
for i, label in enumerate(ax.yaxis.get_ticklabels()):
# add 3 white space on the begining of name
names[i] = " %s" % names[i]
label.set_horizontalalignment("left")
label.set_verticalalignment('center')
p = mpl_Rectangle((0, 0), 1, 1, edgecolor='green', fc='green', alpha=0.75)
if idles is not None:
idle_leg = mpl_Rectangle((0, 0),
1,
1,
edgecolor='#eaa769',
fc='#eaa769',
alpha=0.75)
ax.plegend = ax.legend([p, idle_leg], ["Running", "Idle"],
loc="upper left",
fancybox=True,
shadow=True)
else:
ax.plegend = ax.legend([p], ["Running"],
loc="upper left",
fancybox=True,
shadow=True)
ax.xaxis.grid(True, linestyle="-", which='major', color='black', alpha=0.7)
ax.xaxis.set_major_formatter(
mpl_FuncFormatter(lambda time, pos: utils.time_to_string(time)[:-7]))
ax.set_xlim(xmin=0)
ax.get_figure().tight_layout()
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
# resize figure
w, h = figure.get_size_inches()
figure.set_size_inches(w, len(values) * 0.4)
return ChartWidget(figure, ylock=True)