本文整理汇总了Python中pandas._libs.hashtable.Int64HashTable方法的典型用法代码示例。如果您正苦于以下问题：Python hashtable.Int64HashTable方法的具体用法？Python hashtable.Int64HashTable怎么用？Python hashtable.Int64HashTable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pandas._libs.hashtable的用法示例。
在下文中一共展示了hashtable.Int64HashTable方法的3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: compress_group_index
# 需要导入模块: from pandas._libs import hashtable [as 别名]
# 或者: from pandas._libs.hashtable import Int64HashTable [as 别名]
def compress_group_index(group_index, sort=True):
"""
Group_index is offsets into cartesian product of all possible labels. This
space can be huge, so this function compresses it, by computing offsets
(comp_ids) into the list of unique labels (obs_group_ids).
"""
size_hint = min(len(group_index), hashtable._SIZE_HINT_LIMIT)
table = hashtable.Int64HashTable(size_hint)
group_index = ensure_int64(group_index)
# note, group labels come out ascending (ie, 1,2,3 etc)
comp_ids, obs_group_ids = table.get_labels_groupby(group_index)
if sort and len(obs_group_ids) > 0:
obs_group_ids, comp_ids = _reorder_by_uniques(obs_group_ids, comp_ids)
return comp_ids, obs_group_ids 示例2: compress_group_index
# 需要导入模块: from pandas._libs import hashtable [as 别名]
# 或者: from pandas._libs.hashtable import Int64HashTable [as 别名]
def compress_group_index(group_index, sort=True):
"""
Group_index is offsets into cartesian product of all possible labels. This
space can be huge, so this function compresses it, by computing offsets
(comp_ids) into the list of unique labels (obs_group_ids).
"""
size_hint = min(len(group_index), hashtable._SIZE_HINT_LIMIT)
table = hashtable.Int64HashTable(size_hint)
group_index = _ensure_int64(group_index)
# note, group labels come out ascending (ie, 1,2,3 etc)
comp_ids, obs_group_ids = table.get_labels_groupby(group_index)
if sort and len(obs_group_ids) > 0:
obs_group_ids, comp_ids = _reorder_by_uniques(obs_group_ids, comp_ids)
return comp_ids, obs_group_ids 示例3: __init__
# 需要导入模块: from pandas._libs import hashtable [as 别名]
# 或者: from pandas._libs.hashtable import Int64HashTable [as 别名]
def __init__(self, comp_ids, ngroups, levels, labels):
self.levels = levels
self.labels = labels
self.comp_ids = comp_ids.astype(np.int64)
self.k = len(labels)
self.tables = [hashtable.Int64HashTable(ngroups)
for _ in range(self.k)]
self._populate_tables()