def __update_datasource(self, datasource, stock, column, name):
"""
Update the object datasource with data from each stock.
"""
x, y = Formatter._get_x_y(stock, column)
datasource.add(name=name, data=y)
if 'x' not in datasource.data:
datasource.add(name='x', data=x)
return datasource
def update_data(self, attrname, old, new):
sliders_values = {}
data_temp = {}
result = {}
for k, v in list(self.sliders.items()):
sliders_values[k] = v.value
for i, __data_source in enumerate(self.sdb.datasources):
for name in list(__data_source.data.keys()):
if re.findall("\(\w+\)", name):
raise (ValueError("Variable should not contain " +
"plain parentheses. "
"If included use '\(' and '\)'." +
"Found: %s" % name))
if len(__data_source.data[name]) > 1:
data_temp[name] = pd.Series(
copy.deepcopy(__data_source.data[name]),
index=copy.deepcopy(__data_source.data['x']))
else:
data_temp[name] = copy.deepcopy(__data_source.data[name])
if not hasattr(self, 'signal_expressions_formatted'):
self._format_signal_expressions(data_temp)
# Run twice since some singals depends on others
for i in range(2):
for signal_name, expr in list(self.signals_expressions.items()):
result[signal_name] = eval(
self.signals_expressions_formatted[signal_name])
# Update result in data_temp. If it is not dependent
# of other variable signal, this result won't change.
data_temp[signal_name] = result[signal_name]
for i, __data_source in enumerate(self.sdb.datasources):
for name in result:
if name in __data_source.data:
(__data_source.data['x'],
__data_source.data[name]) = copy.deepcopy(
Formatter._get_x_y(result[name]))
