本文整理汇总了Python中iris.cube.CubeList.remove_coord方法的典型用法代码示例。如果您正苦于以下问题：Python CubeList.remove_coord方法的具体用法？Python CubeList.remove_coord怎么用？Python CubeList.remove_coord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iris.cube.CubeList的用法示例。
在下文中一共展示了CubeList.remove_coord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: test_FAIL_phenomena_nostash
# 需要导入模块: from iris.cube import CubeList [as 别名]
# 或者: from iris.cube.CubeList import remove_coord [as 别名]
def test_FAIL_phenomena_nostash(self):
# If we remove the 'STASH' attributes, certain phenomena can still be
# successfully encoded+decoded by standard load using LBFC values.
# Structured loading gets this wrong, because it does not use LBFC in
# characterising phenomena.
flds = self.fields(c_t='1122', phn='0101')
for fld in flds:
del fld.attributes['STASH']
file = self.save_fieldcubes(flds)
results = iris.load(file)
if not self.do_fast_loads:
# This is what we'd LIKE to get (what iris.load gives).
expected = CubeList(flds).merge()
else:
# At present, we get a cube incorrectly combined together over all
# 4 timepoints, with the same phenomenon for all (!wrong!).
# It's a bit tricky to arrange the existing data like that.
# Do it by hacking the time values to allow merge, and then fixing
# up the time
old_t1, old_t2 = (fld.coord('time').points[0]
for fld in (flds[0], flds[2]))
for i_fld, fld in enumerate(flds):
# Hack the phenomena to all look like the first one.
fld.rename('air_temperature')
fld.units = 'K'
# Hack the time points so the 4 cube can merge into one.
fld.coord('time').points = [old_t1 + i_fld]
one_cube = CubeList(flds).merge_cube()
# Replace time dim with an anonymous dim.
co_t_fake = one_cube.coord('time')
one_cube.remove_coord(co_t_fake)
# Reconstruct + add back the expected auxiliary time coord.
co_t_new = AuxCoord([old_t1, old_t1, old_t2, old_t2],
standard_name='time', units=co_t_fake.units)
one_cube.add_aux_coord(co_t_new, 0)
expected = [one_cube]
self.assertEqual(results, expected)