本文整理汇总了Python中vis.analyzers.indexers.interval.IntervalIndexer.to_csv方法的典型用法代码示例。如果您正苦于以下问题：Python IntervalIndexer.to_csv方法的具体用法？Python IntervalIndexer.to_csv怎么用？Python IntervalIndexer.to_csv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vis.analyzers.indexers.interval.IntervalIndexer的用法示例。
在下文中一共展示了IntervalIndexer.to_csv方法的1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: run_my_task
# 需要导入模块: from vis.analyzers.indexers.interval import IntervalIndexer [as 别名]
# 或者: from vis.analyzers.indexers.interval.IntervalIndexer import to_csv [as 别名]
def run_my_task(self, inputs, settings, outputs):
# Set execution settings.
wrapper_settings = dict( [(k, settings[k]) for k in ('Simple or Compound Intervals', 'Interval Quality')] )
execution_settings = dict()
if wrapper_settings['Simple or Compound Intervals'] == 0:
execution_settings['simple or compound'] = 'simple'
else:
execution_settings['simple or compound'] = 'compound'
execution_settings['quality'] = wrapper_settings['Interval Quality']
execution_settings['mp'] = False
execution_settings['directed'] = True
# Run.
infile = inputs['NoteRest Interval Indexer Result'][0]['resource_path']
outfile = outputs['Vertical Interval Indexer Result'][0]['resource_path']
data = DataFrame.from_csv(infile, header = [0, 1]) # We know the first two rows constitute a MultiIndex
vertical_intervals = IntervalIndexer(data, execution_settings).run()
vertical_intervals.to_csv(outfile)
return True