本文整理汇总了Python中glue.app.qt.GlueApplication.run_startup_action方法的典型用法代码示例。如果您正苦于以下问题：Python GlueApplication.run_startup_action方法的具体用法？Python GlueApplication.run_startup_action怎么用？Python GlueApplication.run_startup_action使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类glue.app.qt.GlueApplication的用法示例。
在下文中一共展示了GlueApplication.run_startup_action方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: start_glue
# 需要导入模块: from glue.app.qt import GlueApplication [as 别名]
# 或者: from glue.app.qt.GlueApplication import run_startup_action [as 别名]
def start_glue(gluefile=None, config=None, datafiles=None, maximized=True,
startup_actions=None, auto_merge=False):
"""Run a glue session and exit
Parameters
----------
gluefile : str
An optional ``.glu`` file to restore.
config : str
An optional configuration file to use.
datafiles : str
An optional list of data files to load.
maximized : bool
Maximize screen on startup. Otherwise, use default size.
auto_merge : bool, optional
Whether to automatically merge data passed in `datafiles` (default is `False`)
"""
import glue
from glue.utils.qt import get_qapp
app = get_qapp()
splash = get_splash()
splash.show()
# Start off by loading plugins. We need to do this before restoring
# the session or loading the configuration since these may use existing
# plugins.
load_plugins(splash=splash)
from glue.app.qt import GlueApplication
datafiles = datafiles or []
hub = None
from qtpy.QtCore import QTimer
timer = QTimer()
timer.setInterval(1000)
timer.setSingleShot(True)
timer.timeout.connect(splash.close)
timer.start()
if gluefile is not None:
app = restore_session(gluefile)
return app.start()
if config is not None:
glue.env = glue.config.load_configuration(search_path=[config])
data_collection = glue.core.DataCollection()
hub = data_collection.hub
splash.set_progress(100)
session = glue.core.Session(data_collection=data_collection, hub=hub)
ga = GlueApplication(session=session)
if datafiles:
datasets = load_data_files(datafiles)
ga.add_datasets(data_collection, datasets, auto_merge=auto_merge)
if startup_actions is not None:
for name in startup_actions:
ga.run_startup_action(name)
return ga.start(maximized=maximized)示例2: start_glue
# 需要导入模块: from glue.app.qt import GlueApplication [as 别名]
# 或者: from glue.app.qt.GlueApplication import run_startup_action [as 别名]
def start_glue(gluefile=None, config=None, datafiles=None, maximized=True,
startup_actions=None, auto_merge=False):
"""Run a glue session and exit
Parameters
----------
gluefile : str
An optional ``.glu`` file to restore.
config : str
An optional configuration file to use.
datafiles : str
An optional list of data files to load.
maximized : bool
Maximize screen on startup. Otherwise, use default size.
auto_merge : bool, optional
Whether to automatically merge data passed in `datafiles` (default is `False`)
"""
import glue
# Some Qt modules are picky in terms of being imported before the
# application is set up, so we import them here. We do it here rather
# than in get_qapp since in the past, including this code in get_qapp
# caused severe issues (e.g. segmentation faults) in plugin packages
# during testing.
try:
from qtpy import QtWebEngineWidgets # noqa
except ImportError: # Not all PyQt installations have this module
pass
from glue.utils.qt import get_qapp
app = get_qapp()
splash = get_splash()
splash.show()
# Start off by loading plugins. We need to do this before restoring
# the session or loading the configuration since these may use existing
# plugins.
load_plugins(splash=splash)
from glue.app.qt import GlueApplication
datafiles = datafiles or []
hub = None
from qtpy.QtCore import QTimer
timer = QTimer()
timer.setInterval(1000)
timer.setSingleShot(True)
timer.timeout.connect(splash.close)
timer.start()
if gluefile is not None:
app = restore_session(gluefile)
return app.start()
if config is not None:
glue.env = glue.config.load_configuration(search_path=[config])
data_collection = glue.core.DataCollection()
hub = data_collection.hub
splash.set_progress(100)
session = glue.core.Session(data_collection=data_collection, hub=hub)
ga = GlueApplication(session=session)
if datafiles:
datasets = load_data_files(datafiles)
ga.add_datasets(data_collection, datasets, auto_merge=auto_merge)
if startup_actions is not None:
for name in startup_actions:
ga.run_startup_action(name)
return ga.start(maximized=maximized)