def CreateLegendPlot(measurements, title_font="modern 12",
title="Legend", legend_font="modern 9"):
""" Plot contour for two axes of an RTDC measurement
Parameters
----------
measurements : list of instances of RTDS_DataSet
Contains color information and titel.
- mm.Configuration["Plotting"]["Contour Color"]
- mm.title
"""
aplot = ca.Plot()
# normalize our data in range zero to 100
aplot.range2d.high=(100,100)
aplot.range2d.low=(0,0)
aplot.title = title
aplot.title_font = title_font
leftmarg = 7
toppos = 90
increment = 10
for mm in measurements:
if mm.Configuration["Plotting"]["Scatter Title Colored"]:
mmlabelcolor = mm.Configuration["Plotting"]["Contour Color"]
else:
mmlabelcolor = "black"
alabel = ca.DataLabel(
component=aplot,
label_position="right",
data_point=(leftmarg,toppos),
padding_bottom=0,
marker_size=5,
bgcolor="transparent",
border_color="transparent",
label_text=" "+mm.title,
font=legend_font,
text_color=mmlabelcolor,
marker="circle",
marker_color="transparent",
marker_line_color=mm.Configuration["Plotting"]["Contour Color"],
show_label_coords=False,
arrow_visible=False
)
toppos -= increment
aplot.overlays.append(alabel)
aplot.padding_left = 0
aplot.y_axis = None
aplot.x_axis = None
aplot.x_grid = None
aplot.y_grid = None
# pan tool
pan = cta.PanTool(aplot, drag_button="left")
aplot.tools.append(pan)
return aplot
def _add_data_labels(self, renderer, fraction):
idx = renderer.index._data
val = renderer.value._data
for i, v in enumerate(fraction):
label = _chaco.DataLabel(
component=renderer,
data_point=(idx[i], val[i]),
label_text="{}%".format(v),
marker_visible=False,
border_visible=False,
show_label_coords=False,
bgcolor=(0.5, 0.5, 0.5, 0.0),
)
renderer.overlays.append(label)
def _add_data_labels(self, renderer, fraction, pec):
idx = renderer.index._data
val = renderer.value._data
for i, v in enumerate(fraction):
if not v:
continue
p = pec[i]
label = _chaco.DataLabel(
component=renderer,
data_point=(idx[i], val[i]),
label_text="{0}%({1})".format(p, v),
label_position='bottom',
arrow_visible=False,
marker_visible=False,
border_visible=False,
show_label_coords=False,
bgcolor=(0.5, 0.5, 0.5, 0.0),
)
renderer.overlays.append(label)
def create_data_label(self, xp, yp, d, di):
nform = "[%(x).5g, %(y).5g]"
if self.nfiles() - 1 or self.overlay_plot_data:
lform = "({0}) {1}".format(self.get_file_name(d), nform)
else:
lform = nform
label = capi.DataLabel(component=self.container,
data_point=(xp, yp),
label_position="bottom right",
border_visible=False,
bgcolor="transparent",
label_format=lform,
marker_color=tuple(COLOR_PALETTE[(d + di) %
10]),
marker_line_color="transparent",
marker="diamond",
arrow_visible=False)
self.time_data_labels[d].append(label)
self.container.overlays.append(label)
return
def legend_plot(measurements, title_font="modern 12",
title="Legend", legend_font="modern 9"):
"""Plot legend for an RT-DC data set
Parameters
----------
measurements : list of RTDCBase
Contains color information and titel.
- mm.config["plotting"]["contour color"]
- mm.title
"""
# The legend is actually a list of plot labels
aplot = ca.Plot()
# normalize range from zero to 100 for convenience
aplot.range2d.high=(100,100)
aplot.range2d.low=(0,0)
aplot.title = title
aplot.title_font = title_font
leftmarg = 7
fname, fsize = legend_font.rsplit(" ", 1)
fsize = int(fsize)
autoscale = measurements[0].config["plotting"]["legend autoscaled"]
if autoscale and len(measurements)>=10:
# This case makes the legend entries fit into the plot window
lm = len(measurements)
marker_size = int(np.floor(5/lm*9))
fsize = int(np.floor(fsize/lm*9))
increment = 100/(lm+1)
# This is a heuristic setting that works for most plots:
# (not sure how chaco defines marker positions)
label_position = -6*(5/lm*9)**.3
else:
marker_size = 5
increment = 10
label_position = -10
legend_font = " ".join([fname, str(fsize)])
toppos = 100 - increment
for mm in measurements:
if mm.config["plotting"]["scatter title colored"]:
mmlabelcolor = mm.config["plotting"]["contour color"]
else:
mmlabelcolor = "black"
alabel = ca.DataLabel(
component=aplot,
label_position=[0,label_position],
data_point=(leftmarg,toppos),
padding_bottom=0,
marker_size=marker_size,
bgcolor="transparent",
border_color="transparent",
label_text=" "+mm.title,
font=legend_font,
text_color=mmlabelcolor,
marker="circle",
marker_color="transparent",
marker_line_color=mm.config["plotting"]["contour color"],
show_label_coords=False,
arrow_visible=False
)
toppos -= increment
aplot.overlays.append(alabel)
aplot.padding_left = 0
aplot.y_axis = None
aplot.x_axis = None
aplot.x_grid = None
aplot.y_grid = None
# pan tool
pan = cta.PanTool(aplot, drag_button="left")
aplot.tools.append(pan)
return aplot