| | import tiledb.cc as lt |
| |
|
| |
|
| | class Aggregation: |
| | """ |
| | Proxy object returned by Query.agg to calculate aggregations. |
| | """ |
| |
|
| | def __init__(self, query=None, attr_to_aggs={}): |
| | if query is None: |
| | raise ValueError("must pass in a query object") |
| |
|
| | self.query = query |
| | self.attr_to_aggs = attr_to_aggs |
| |
|
| | def __getitem__(self, selection): |
| | from .main import PyAgg |
| | from .subarray import Subarray |
| |
|
| | array = self.query.array |
| | order = self.query.order |
| |
|
| | layout = ( |
| | lt.LayoutType.UNORDERED if array.schema.sparse else lt.LayoutType.ROW_MAJOR |
| | ) |
| | if order is None or order == "C": |
| | layout = lt.LayoutType.ROW_MAJOR |
| | elif order == "F": |
| | layout = lt.LayoutType.COL_MAJOR |
| | elif order == "G": |
| | layout = lt.LayoutType.GLOBAL_ORDER |
| | elif order == "U": |
| | layout = lt.LayoutType.UNORDERED |
| | else: |
| | raise ValueError( |
| | "order must be 'C' (TILEDB_ROW_MAJOR), " |
| | "'F' (TILEDB_COL_MAJOR), " |
| | "'G' (TILEDB_GLOBAL_ORDER), " |
| | "or 'U' (TILEDB_UNORDERED)" |
| | ) |
| |
|
| | q = PyAgg(array._ctx_(), array, layout, self.attr_to_aggs) |
| |
|
| | from .libtiledb import ( |
| | index_as_tuple, |
| | index_domain_subarray, |
| | replace_ellipsis, |
| | replace_scalars_slice, |
| | ) |
| |
|
| | selection = index_as_tuple(selection) |
| | dom = array.schema.domain |
| | idx = replace_ellipsis(dom.ndim, selection) |
| | idx, drop_axes = replace_scalars_slice(dom, idx) |
| | dim_ranges = index_domain_subarray(array, dom, idx) |
| |
|
| | subarray = Subarray(array, array._ctx_()) |
| | subarray.add_ranges([list([x]) for x in dim_ranges]) |
| | q.set_subarray(subarray) |
| |
|
| | cond = self.query.cond |
| | if cond is not None and cond != "": |
| | from .query_condition import QueryCondition |
| |
|
| | if isinstance(cond, str): |
| | q.set_cond(QueryCondition(cond)) |
| | else: |
| | raise TypeError("`cond` expects type str.") |
| |
|
| | result = q.get_aggregate() |
| |
|
| | |
| | if len(result) == 1: |
| | result = result[list(result.keys())[0]] |
| |
|
| | |
| | if len(result) == 1: |
| | result = result[list(result.keys())[0]] |
| |
|
| | return result |
| |
|
| | @property |
| | def multi_index(self): |
| | """Apply Array.multi_index with query parameters.""" |
| | from .multirange_indexing import MultiRangeAggregation |
| |
|
| | return MultiRangeAggregation(self.query.array, query=self) |
| |
|
| | @property |
| | def df(self): |
| | raise NotImplementedError(".df indexer not supported for Aggregations") |
| |
|
