本文整理汇总了Python中zipline.lib.labelarray.LabelArray.not_missing方法的典型用法代码示例。如果您正苦于以下问题：Python LabelArray.not_missing方法的具体用法？Python LabelArray.not_missing怎么用？Python LabelArray.not_missing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zipline.lib.labelarray.LabelArray的用法示例。
在下文中一共展示了LabelArray.not_missing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_compare_to_str_array
# 需要导入模块: from zipline.lib.labelarray import LabelArray [as 别名]
# 或者: from zipline.lib.labelarray.LabelArray import not_missing [as 别名]
def test_compare_to_str_array(self, missing_value):
strs = self.strs
shape = strs.shape
arr = LabelArray(strs, missing_value=missing_value)
if missing_value is None:
# As of numpy 1.9.2, object array != None returns just False
# instead of an array, with a deprecation warning saying the
# behavior will change in the future. Work around that by just
# using the ufunc.
notmissing = np.not_equal(strs, missing_value)
else:
notmissing = (strs != missing_value)
check_arrays(arr.not_missing(), notmissing)
check_arrays(arr.is_missing(), ~notmissing)
# The arrays are equal everywhere, but comparisons against the
# missing_value should always produce False
check_arrays(strs == arr, notmissing)
check_arrays(strs != arr, np.zeros_like(strs, dtype=bool))
def broadcastable_row(value, dtype):
return np.full((shape[0], 1), value, dtype=strs.dtype)
def broadcastable_col(value, dtype):
return np.full((1, shape[1]), value, dtype=strs.dtype)
# Test comparison between arr and a like-shap 2D array, a column
# vector, and a row vector.
for comparator, dtype, value in product((eq, ne),
(bytes, unicode, object),
set(self.rowvalues)):
check_arrays(
comparator(arr, np.full_like(strs, value)),
comparator(strs, value) & notmissing,
)
check_arrays(
comparator(arr, broadcastable_row(value, dtype=dtype)),
comparator(strs, value) & notmissing,
)
check_arrays(
comparator(arr, broadcastable_col(value, dtype=dtype)),
comparator(strs, value) & notmissing,
)