def add_time_series(self, time_series, configs=None):
seen = set()
x_values = []
labels = []
items_with_label = []
for i, ts in enumerate(time_series):
# we do not plot duplicates, which might happen if multiple lines in the
# table explorer are sellected !
if ts.uniqueId() in seen:
continue
seen.add(ts.uniqueId())
config = None
if configs is not None:
config = configs[i]
if config is None:
config = dict(color=getColor(i))
title = ts.label
for j, item in enumerate(ts.for_plotting()):
lconfig = config.copy()
if len(item) == 2:
x, y = item
else:
x, y, special_config = item
lconfig.update(special_config)
x = [
xi.toordinal() if isinstance(xi, datetime) else xi
for xi in x
]
x_values.extend(x)
curve = make_unselectable_curve(x,
y,
title="<pre>%s</pre>" % title,
**lconfig)
self.plot.add_item(curve)
if j == 0:
labels.append(title)
items_with_label.append(curve)
x_values = sorted(set(x_values))
self.plot.set_x_values(x_values)
self.plot.add_item(self.marker)
self.plot.add_item(self.label)
unique_labels = set(labels)
self._add_legend(unique_labels, items_with_label)
def plot_spectra(self, all_peaks, labels):
self.plot.del_all_items()
self.plot.add_item(self.marker)
self.plot.add_item(make.legend("TL"))
self.plot.add_item(self.label)
for i, (peaks, label) in enumerate(zip(all_peaks, labels)):
config = dict(color=getColor(i))
curve = make_unselectable_curve([], [], title=label, curvestyle="Sticks", **config)
curve.set_data(peaks[:, 0], peaks[:, 1])
self.plot.add_item(curve)
self.plot.resample_config = []
self.plot.add_item(self.line)
if len(all_peaks):
self.plot.all_peaks = np.vstack(all_peaks)
else:
self.plot.all_peaks = np.zeros((0, 2))
def plot_spectra(self, all_peaks, labels):
self.plot.del_all_items()
self.plot.add_item(self.marker)
self.plot.add_item(make.legend("TL"))
self.plot.add_item(self.label)
for i, (peaks, label) in enumerate(zip(all_peaks, labels)):
config = dict(color=getColor(i))
curve = make_unselectable_curve([], [],
title=label,
curvestyle="Sticks",
**config)
curve.set_data(peaks[:, 0], peaks[:, 1])
self.plot.add_item(curve)
self.plot.resample_config = []
self.plot.add_item(self.line)
if len(all_peaks):
self.plot.all_peaks = np.vstack(all_peaks)
else:
self.plot.all_peaks = np.zeros((0, 2))
def add_time_series(self, time_series, configs=None):
seen = set()
x_values = []
labels = []
items_with_label = []
for i, ts in enumerate(time_series):
# we do not plot duplicates, which might happen if multiple lines in the
# table explorer are sellected !
if ts.uniqueId() in seen:
continue
seen.add(ts.uniqueId())
config = None
if configs is not None:
config = configs[i]
if config is None:
config = dict(color=getColor(i))
title = ts.label
for j, item in enumerate(ts.for_plotting()):
lconfig = config.copy()
if len(item) == 2:
x, y = item
else:
x, y, special_config = item
lconfig.update(special_config)
x = [xi.toordinal() if isinstance(xi, datetime) else xi for xi in x]
x_values.extend(x)
curve = make_unselectable_curve(x, y, title="<pre>%s</pre>" % title, **lconfig)
self.plot.add_item(curve)
if j == 0:
labels.append(title)
items_with_label.append(curve)
x_values = sorted(set(x_values))
self.plot.set_x_values(x_values)
self.plot.add_item(self.marker)
self.plot.add_item(self.label)
unique_labels = set(labels)
self._add_legend(unique_labels, items_with_label)
def default(i):
return dict(color=getColor(i))
def default(i):
return dict(color=getColor(i))