Python pandas._libs.hashtable._SIZE_HINT_LIMIT Examples

The following are 5 code examples of pandas._libs.hashtable._SIZE_HINT_LIMIT(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas._libs.hashtable , or try the search function .
Example #1
Source File: sorting.py    From recruit with Apache License 2.0 6 votes vote down vote up 
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
Example #2
Source File: sorting.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
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
Example #3
Source File: sorting.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
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
Example #4
Source File: sorting.py    From Splunking-Crime with GNU Affero General Public License v3.0 6 votes vote down vote up 
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
Example #5
Source File: sorting.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
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