本文整理汇总了Python中openquake.hmtk.seismicity.catalogue.Catalogue.data['ErrorStrike']方法的典型用法代码示例。如果您正苦于以下问题：Python Catalogue.data['ErrorStrike']方法的具体用法？Python Catalogue.data['ErrorStrike']怎么用？Python Catalogue.data['ErrorStrike']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openquake.hmtk.seismicity.catalogue.Catalogue的用法示例。
在下文中一共展示了Catalogue.data['ErrorStrike']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: test_catalogue_writer_only_mag_table_purging
# 需要导入模块: from openquake.hmtk.seismicity.catalogue import Catalogue [as 别名]
# 或者: from openquake.hmtk.seismicity.catalogue.Catalogue import data['ErrorStrike'] [as 别名]
def test_catalogue_writer_only_mag_table_purging(self):
'''
Tests the writer only purging according to the magnitude table
'''
# Write to file
writer = CsvCatalogueWriter(self.output_filename)
writer.write_file(self.catalogue, magnitude_table=self.magnitude_table)
parser = CsvCatalogueParser(self.output_filename)
cat2 = parser.read_file()
expected_catalogue = Catalogue()
expected_catalogue.data['eventID'] = ['1', '3', '5']
expected_catalogue.data['magnitude'] = np.array([5.6, 4.8, 5.0])
expected_catalogue.data['year'] = np.array([1960, 1970, 1990])
expected_catalogue.data['ErrorStrike'] = np.array([np.nan, np.nan,
np.nan])
self.check_catalogues_are_equal(expected_catalogue, cat2)示例2: test_catalogue_writer_only_flag_purging
# 需要导入模块: from openquake.hmtk.seismicity.catalogue import Catalogue [as 别名]
# 或者: from openquake.hmtk.seismicity.catalogue.Catalogue import data['ErrorStrike'] [as 别名]
def test_catalogue_writer_only_flag_purging(self):
'''
Tests the writer only purging according to the flag
'''
# Write to file
writer = CsvCatalogueWriter(self.output_filename)
writer.write_file(self.catalogue, flag_vector=self.flag)
parser = CsvCatalogueParser(self.output_filename)
cat2 = parser.read_file()
expected_catalogue = Catalogue()
expected_catalogue.data['eventID'] = ['1', '2', '3', '4']
expected_catalogue.data['magnitude'] = np.array([5.6, 5.4, 4.8, 4.3])
expected_catalogue.data['year'] = np.array([1960, 1965, 1970, 1980])
expected_catalogue.data['ErrorStrike'] = np.array([np.nan, np.nan,
np.nan, np.nan])
self.check_catalogues_are_equal(expected_catalogue, cat2)