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With this example, you saw how Polars uses the lazy API to query data from files in a performant and memory-efficient manner. This powerful API gives Polars a huge leg up over other DataFrame libraries, and you should opt to use the lazy API whenever possible. In the next section, you’...
handles standalone scalars; as far as I can tell that's not something Arrow does. From what I'm reading, a "scalar timestamp" with no column metadata would just be an integer assumed to be a number of seconds since the UNIX epoch. Maybe it's just a one-row, one-column dataframe?
value) | [2024-05-21T17:11:26Z] ../../dagster/dagster/_core/storage/upath_io_manager.py:455: in handle_output | [2024-05-21T17:11:26Z] custom_metadata = self.get_metadata(context=context, obj=obj) | [2024-05-21T17:11:26Z] dagster_polars/io_managers/base.py:333: in get...
hstack(data[[ShiftColName]].shift_and_fill(N, fill_value = ImputeValue).rename({ShiftColName : 'Lag_' + str(N) + '_' + ShiftColName})) # shift_and_fill: by fruits? ?Activity ritchie46 commented on Aug 17, 2021 ritchie46 on Aug 17, 2021 Member Do you mean a groupby? (...
py-polars debug docs polars src arrow_interop conversion expr functions lazyframe map series batched_csv.rs dataframe.rs datatypes.rs error.rs file.rs gil_once_cell.rs lazygroupby.rs lib.rs object.rs on_startup.rs prelude.rs py_modules.rs ...
And one of the two variants will have a bit of strange name because sometimes you want 3 value logic, sometimes you don't. There is a case to be made for both of them and we will not please all cases. I think we should accept that, but making eq different from is, just feels ...
from cudf_polars.typing import Schema @lower_ir_node.register(DataFrameScan) @@ -47,3 +53,274 @@ def _( } return ir, {ir: PartitionInfo(count=1)} class ScanPartitionFlavor(IntEnum): """Flavor of Scan partitioning.""" SINGLE_FILE = enum.auto() # 1:1 mapping between files and pa...
Checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of Polars. Reproducible example from datetime import date, timedelta import polars as pl import numpy as np df1 =...