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expr.py
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1430 lines (1107 loc) · 45.2 KB
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""This module supports expressions, one of the core concepts in DataFusion.
See :ref:`Expressions` in the online documentation for more details.
"""
# ruff: noqa: PLC0415
from __future__ import annotations
from collections.abc import Iterable, Sequence
from typing import TYPE_CHECKING, Any, ClassVar
try:
from warnings import deprecated # Python 3.13+
except ImportError:
from typing_extensions import deprecated # Python 3.12
import pyarrow as pa
from ._internal import expr as expr_internal
from ._internal import functions as functions_internal
if TYPE_CHECKING:
from collections.abc import Sequence
from datafusion.common import ( # type: ignore[import]
DataTypeMap,
NullTreatment,
RexType,
)
from datafusion.plan import LogicalPlan
# Standard error message for invalid expression types
# Mention both alias forms of column and literal helpers
EXPR_TYPE_ERROR = "Use col()/column() or lit()/literal() to construct expressions"
# The following are imported from the internal representation. We may choose to
# give these all proper wrappers, or to simply leave as is. These were added
# in order to support passing the `test_imports` unit test.
# Tim Saucer note: It is not clear to me what the use case is for exposing
# these definitions to the end user.
Alias = expr_internal.Alias
Analyze = expr_internal.Analyze
Aggregate = expr_internal.Aggregate
AggregateFunction = expr_internal.AggregateFunction
Between = expr_internal.Between
BinaryExpr = expr_internal.BinaryExpr
Case = expr_internal.Case
Cast = expr_internal.Cast
Column = expr_internal.Column
CopyTo = expr_internal.CopyTo
CreateCatalog = expr_internal.CreateCatalog
CreateCatalogSchema = expr_internal.CreateCatalogSchema
CreateExternalTable = expr_internal.CreateExternalTable
CreateFunction = expr_internal.CreateFunction
CreateFunctionBody = expr_internal.CreateFunctionBody
CreateIndex = expr_internal.CreateIndex
CreateMemoryTable = expr_internal.CreateMemoryTable
CreateView = expr_internal.CreateView
Deallocate = expr_internal.Deallocate
DescribeTable = expr_internal.DescribeTable
Distinct = expr_internal.Distinct
DmlStatement = expr_internal.DmlStatement
DropCatalogSchema = expr_internal.DropCatalogSchema
DropFunction = expr_internal.DropFunction
DropTable = expr_internal.DropTable
DropView = expr_internal.DropView
EmptyRelation = expr_internal.EmptyRelation
Execute = expr_internal.Execute
Exists = expr_internal.Exists
Explain = expr_internal.Explain
Extension = expr_internal.Extension
FileType = expr_internal.FileType
Filter = expr_internal.Filter
GroupingSet = expr_internal.GroupingSet
Join = expr_internal.Join
ILike = expr_internal.ILike
InList = expr_internal.InList
InSubquery = expr_internal.InSubquery
IsFalse = expr_internal.IsFalse
IsNotTrue = expr_internal.IsNotTrue
IsNull = expr_internal.IsNull
IsTrue = expr_internal.IsTrue
IsUnknown = expr_internal.IsUnknown
IsNotFalse = expr_internal.IsNotFalse
IsNotNull = expr_internal.IsNotNull
IsNotUnknown = expr_internal.IsNotUnknown
JoinConstraint = expr_internal.JoinConstraint
JoinType = expr_internal.JoinType
Like = expr_internal.Like
Limit = expr_internal.Limit
Literal = expr_internal.Literal
Negative = expr_internal.Negative
Not = expr_internal.Not
OperateFunctionArg = expr_internal.OperateFunctionArg
Partitioning = expr_internal.Partitioning
Placeholder = expr_internal.Placeholder
Prepare = expr_internal.Prepare
Projection = expr_internal.Projection
RecursiveQuery = expr_internal.RecursiveQuery
Repartition = expr_internal.Repartition
ScalarSubquery = expr_internal.ScalarSubquery
ScalarVariable = expr_internal.ScalarVariable
SetVariable = expr_internal.SetVariable
SimilarTo = expr_internal.SimilarTo
Sort = expr_internal.Sort
Subquery = expr_internal.Subquery
SubqueryAlias = expr_internal.SubqueryAlias
TableScan = expr_internal.TableScan
TransactionAccessMode = expr_internal.TransactionAccessMode
TransactionConclusion = expr_internal.TransactionConclusion
TransactionEnd = expr_internal.TransactionEnd
TransactionIsolationLevel = expr_internal.TransactionIsolationLevel
TransactionStart = expr_internal.TransactionStart
TryCast = expr_internal.TryCast
Union = expr_internal.Union
Unnest = expr_internal.Unnest
UnnestExpr = expr_internal.UnnestExpr
Values = expr_internal.Values
WindowExpr = expr_internal.WindowExpr
__all__ = [
"EXPR_TYPE_ERROR",
"Aggregate",
"AggregateFunction",
"Alias",
"Analyze",
"Between",
"BinaryExpr",
"Case",
"CaseBuilder",
"Cast",
"Column",
"CopyTo",
"CreateCatalog",
"CreateCatalogSchema",
"CreateExternalTable",
"CreateFunction",
"CreateFunctionBody",
"CreateIndex",
"CreateMemoryTable",
"CreateView",
"Deallocate",
"DescribeTable",
"Distinct",
"DmlStatement",
"DropCatalogSchema",
"DropFunction",
"DropTable",
"DropView",
"EmptyRelation",
"Execute",
"Exists",
"Explain",
"Expr",
"Extension",
"FileType",
"Filter",
"GroupingSet",
"ILike",
"InList",
"InSubquery",
"IsFalse",
"IsNotFalse",
"IsNotNull",
"IsNotTrue",
"IsNotUnknown",
"IsNull",
"IsTrue",
"IsUnknown",
"Join",
"JoinConstraint",
"JoinType",
"Like",
"Limit",
"Literal",
"Literal",
"Negative",
"Not",
"OperateFunctionArg",
"Partitioning",
"Placeholder",
"Prepare",
"Projection",
"RecursiveQuery",
"Repartition",
"ScalarSubquery",
"ScalarVariable",
"SetVariable",
"SimilarTo",
"Sort",
"SortExpr",
"SortKey",
"Subquery",
"SubqueryAlias",
"TableScan",
"TransactionAccessMode",
"TransactionConclusion",
"TransactionEnd",
"TransactionIsolationLevel",
"TransactionStart",
"TryCast",
"Union",
"Unnest",
"UnnestExpr",
"Values",
"Window",
"WindowExpr",
"WindowFrame",
"WindowFrameBound",
"ensure_expr",
"ensure_expr_list",
]
def ensure_expr(value: Expr | Any) -> expr_internal.Expr:
"""Return the internal expression from ``Expr`` or raise ``TypeError``.
This helper rejects plain strings and other non-:class:`Expr` values so
higher level APIs consistently require explicit :func:`~datafusion.col` or
:func:`~datafusion.lit` expressions.
Args:
value: Candidate expression or other object.
Returns:
The internal expression representation.
Raises:
TypeError: If ``value`` is not an instance of :class:`Expr`.
"""
if not isinstance(value, Expr):
raise TypeError(EXPR_TYPE_ERROR)
return value.expr
def ensure_expr_list(
exprs: Iterable[Expr | Iterable[Expr]],
) -> list[expr_internal.Expr]:
"""Flatten an iterable of expressions, validating each via ``ensure_expr``.
Args:
exprs: Possibly nested iterable containing expressions.
Returns:
A flat list of raw expressions.
Raises:
TypeError: If any item is not an instance of :class:`Expr`.
"""
def _iter(
items: Iterable[Expr | Iterable[Expr]],
) -> Iterable[expr_internal.Expr]:
for expr in items:
if isinstance(expr, Iterable) and not isinstance(
expr, Expr | str | bytes | bytearray
):
# Treat string-like objects as atomic to surface standard errors
yield from _iter(expr)
else:
yield ensure_expr(expr)
return list(_iter(exprs))
def _to_raw_expr(value: Expr | str) -> expr_internal.Expr:
"""Convert a Python expression or column name to its raw variant.
Args:
value: Candidate expression or column name.
Returns:
The internal :class:`~datafusion._internal.expr.Expr` representation.
Raises:
TypeError: If ``value`` is neither an :class:`Expr` nor ``str``.
"""
if isinstance(value, str):
return Expr.column(value).expr
if isinstance(value, Expr):
return value.expr
error = (
"Expected Expr or column name, found:"
f" {type(value).__name__}. {EXPR_TYPE_ERROR}."
)
raise TypeError(error)
def expr_list_to_raw_expr_list(
expr_list: list[Expr] | Expr | None,
) -> list[expr_internal.Expr] | None:
"""Convert a sequence of expressions or column names to raw expressions."""
if isinstance(expr_list, Expr | str):
expr_list = [expr_list]
if expr_list is None:
return None
return [_to_raw_expr(e) for e in expr_list]
def sort_or_default(e: Expr | SortExpr) -> expr_internal.SortExpr:
"""Helper function to return a default Sort if an Expr is provided."""
if isinstance(e, SortExpr):
return e.raw_sort
return SortExpr(e, ascending=True, nulls_first=True).raw_sort
def sort_list_to_raw_sort_list(
sort_list: Sequence[SortKey] | SortKey | None,
) -> list[expr_internal.SortExpr] | None:
"""Helper function to return an optional sort list to raw variant."""
if isinstance(sort_list, Expr | SortExpr | str):
sort_list = [sort_list]
if sort_list is None:
return None
raw_sort_list = []
for item in sort_list:
if isinstance(item, SortExpr):
raw_sort_list.append(sort_or_default(item))
else:
raw_expr = _to_raw_expr(item) # may raise ``TypeError``
raw_sort_list.append(sort_or_default(Expr(raw_expr)))
return raw_sort_list
class Expr:
"""Expression object.
Expressions are one of the core concepts in DataFusion. See
:ref:`Expressions` in the online documentation for more information.
"""
def __init__(self, expr: expr_internal.RawExpr) -> None:
"""This constructor should not be called by the end user."""
self.expr = expr
def to_variant(self) -> Any:
"""Convert this expression into a python object if possible."""
return self.expr.to_variant()
@deprecated(
"display_name() is deprecated. Use :py:meth:`~Expr.schema_name` instead"
)
def display_name(self) -> str:
"""Returns the name of this expression as it should appear in a schema.
This name will not include any CAST expressions.
"""
return self.schema_name()
def schema_name(self) -> str:
"""Returns the name of this expression as it should appear in a schema.
This name will not include any CAST expressions.
"""
return self.expr.schema_name()
def canonical_name(self) -> str:
"""Returns a complete string representation of this expression."""
return self.expr.canonical_name()
def variant_name(self) -> str:
"""Returns the name of the Expr variant.
Ex: ``IsNotNull``, ``Literal``, ``BinaryExpr``, etc
"""
return self.expr.variant_name()
def __richcmp__(self, other: Expr, op: int) -> Expr:
"""Comparison operator."""
return Expr(self.expr.__richcmp__(other.expr, op))
def __repr__(self) -> str:
"""Generate a string representation of this expression."""
return self.expr.__repr__()
def __add__(self, rhs: Any) -> Expr:
"""Addition operator.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__add__(rhs.expr))
def __sub__(self, rhs: Any) -> Expr:
"""Subtraction operator.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__sub__(rhs.expr))
def __truediv__(self, rhs: Any) -> Expr:
"""Division operator.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__truediv__(rhs.expr))
def __mul__(self, rhs: Any) -> Expr:
"""Multiplication operator.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__mul__(rhs.expr))
def __mod__(self, rhs: Any) -> Expr:
"""Modulo operator (%).
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__mod__(rhs.expr))
def __and__(self, rhs: Expr) -> Expr:
"""Logical AND."""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__and__(rhs.expr))
def __or__(self, rhs: Expr) -> Expr:
"""Logical OR."""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__or__(rhs.expr))
def __invert__(self) -> Expr:
"""Binary not (~)."""
return Expr(self.expr.__invert__())
def __getitem__(self, key: str | int) -> Expr:
"""Retrieve sub-object.
If ``key`` is a string, returns the subfield of the struct.
If ``key`` is an integer, retrieves the element in the array. Note that the
element index begins at ``0``, unlike
:py:func:`~datafusion.functions.array_element` which begins at ``1``.
If ``key`` is a slice, returns an array that contains a slice of the
original array. Similar to integer indexing, this follows Python convention
where the index begins at ``0`` unlike
:py:func:`~datafusion.functions.array_slice` which begins at ``1``.
"""
if isinstance(key, int):
return Expr(
functions_internal.array_element(self.expr, Expr.literal(key + 1).expr)
)
if isinstance(key, slice):
if isinstance(key.start, int):
start = Expr.literal(key.start + 1).expr
elif isinstance(key.start, Expr):
start = (key.start + Expr.literal(1)).expr
else:
# Default start at the first element, index 1
start = Expr.literal(1).expr
if isinstance(key.stop, int):
stop = Expr.literal(key.stop).expr
else:
stop = key.stop.expr
if isinstance(key.step, int):
step = Expr.literal(key.step).expr
elif isinstance(key.step, Expr):
step = key.step.expr
else:
step = key.step
return Expr(functions_internal.array_slice(self.expr, start, stop, step))
return Expr(self.expr.__getitem__(key))
def __eq__(self, rhs: object) -> Expr:
"""Equal to.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__eq__(rhs.expr))
def __ne__(self, rhs: object) -> Expr:
"""Not equal to.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__ne__(rhs.expr))
def __ge__(self, rhs: Any) -> Expr:
"""Greater than or equal to.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__ge__(rhs.expr))
def __gt__(self, rhs: Any) -> Expr:
"""Greater than.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__gt__(rhs.expr))
def __le__(self, rhs: Any) -> Expr:
"""Less than or equal to.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__le__(rhs.expr))
def __lt__(self, rhs: Any) -> Expr:
"""Less than.
Accepts either an expression or any valid PyArrow scalar literal value.
"""
if not isinstance(rhs, Expr):
rhs = Expr.literal(rhs)
return Expr(self.expr.__lt__(rhs.expr))
__radd__ = __add__
__rand__ = __and__
__rmod__ = __mod__
__rmul__ = __mul__
__ror__ = __or__
__rsub__ = __sub__
__rtruediv__ = __truediv__
@staticmethod
def literal(value: Any) -> Expr:
"""Creates a new expression representing a scalar value.
``value`` must be a valid PyArrow scalar value or easily castable to one.
"""
if isinstance(value, str):
value = pa.scalar(value, type=pa.string_view())
return Expr(expr_internal.RawExpr.literal(value))
@staticmethod
def literal_with_metadata(value: Any, metadata: dict[str, str]) -> Expr:
"""Creates a new expression representing a scalar value with metadata.
Args:
value: A valid PyArrow scalar value or easily castable to one.
metadata: Metadata to attach to the expression.
"""
if isinstance(value, str):
value = pa.scalar(value, type=pa.string_view())
return Expr(expr_internal.RawExpr.literal_with_metadata(value, metadata))
@staticmethod
def string_literal(value: str) -> Expr:
"""Creates a new expression representing a UTF8 literal value.
It is different from `literal` because it is pa.string() instead of
pa.string_view()
This is needed for cases where DataFusion is expecting a UTF8 instead of
UTF8View literal, like in:
https://github.com/apache/datafusion/blob/86740bfd3d9831d6b7c1d0e1bf4a21d91598a0ac/datafusion/functions/src/core/arrow_cast.rs#L179
"""
if isinstance(value, str):
value = pa.scalar(value, type=pa.string())
return Expr(expr_internal.RawExpr.literal(value))
return Expr.literal(value)
@staticmethod
def column(value: str) -> Expr:
"""Creates a new expression representing a column."""
return Expr(expr_internal.RawExpr.column(value))
def alias(self, name: str, metadata: dict[str, str] | None = None) -> Expr:
"""Assign a name to the expression.
Args:
name: The name to assign to the expression.
metadata: Optional metadata to attach to the expression.
Returns:
A new expression with the assigned name.
"""
return Expr(self.expr.alias(name, metadata))
def sort(self, ascending: bool = True, nulls_first: bool = True) -> SortExpr:
"""Creates a sort :py:class:`Expr` from an existing :py:class:`Expr`.
Args:
ascending: If true, sort in ascending order.
nulls_first: Return null values first.
"""
return SortExpr(self, ascending=ascending, nulls_first=nulls_first)
def is_null(self) -> Expr:
"""Returns ``True`` if this expression is null."""
return Expr(self.expr.is_null())
def is_not_null(self) -> Expr:
"""Returns ``True`` if this expression is not null."""
return Expr(self.expr.is_not_null())
def fill_nan(self, value: Any | Expr | None = None) -> Expr:
"""Fill NaN values with a provided value."""
if not isinstance(value, Expr):
value = Expr.literal(value)
return Expr(functions_internal.nanvl(self.expr, value.expr))
def fill_null(self, value: Any | Expr | None = None) -> Expr:
"""Fill NULL values with a provided value."""
if not isinstance(value, Expr):
value = Expr.literal(value)
return Expr(functions_internal.nvl(self.expr, value.expr))
_to_pyarrow_types: ClassVar[dict[type, pa.DataType]] = {
float: pa.float64(),
int: pa.int64(),
str: pa.string(),
bool: pa.bool_(),
}
def cast(self, to: pa.DataType[Any] | type) -> Expr:
"""Cast to a new data type."""
if not isinstance(to, pa.DataType):
try:
to = self._to_pyarrow_types[to]
except KeyError as err:
error_msg = "Expected instance of pyarrow.DataType or builtins.type"
raise TypeError(error_msg) from err
return Expr(self.expr.cast(to))
def between(self, low: Any, high: Any, negated: bool = False) -> Expr:
"""Returns ``True`` if this expression is between a given range.
Args:
low: lower bound of the range (inclusive).
high: higher bound of the range (inclusive).
negated: negates whether the expression is between a given range
"""
if not isinstance(low, Expr):
low = Expr.literal(low)
if not isinstance(high, Expr):
high = Expr.literal(high)
return Expr(self.expr.between(low.expr, high.expr, negated=negated))
def rex_type(self) -> RexType:
"""Return the Rex Type of this expression.
A Rex (Row Expression) specifies a single row of data.That specification
could include user defined functions or types. RexType identifies the
row as one of the possible valid ``RexType``.
"""
return self.expr.rex_type()
def types(self) -> DataTypeMap:
"""Return the ``DataTypeMap``.
Returns:
DataTypeMap which represents the PythonType, Arrow DataType, and
SqlType Enum which this expression represents.
"""
return self.expr.types()
def python_value(self) -> Any:
"""Extracts the Expr value into `Any`.
This is only valid for literal expressions.
Returns:
Python object representing literal value of the expression.
"""
return self.expr.python_value()
def rex_call_operands(self) -> list[Expr]:
"""Return the operands of the expression based on it's variant type.
Row expressions, Rex(s), operate on the concept of operands. Different
variants of Expressions, Expr(s), store those operands in different
datastructures. This function examines the Expr variant and returns
the operands to the calling logic.
"""
return [Expr(e) for e in self.expr.rex_call_operands()]
def rex_call_operator(self) -> str:
"""Extracts the operator associated with a row expression type call."""
return self.expr.rex_call_operator()
def column_name(self, plan: LogicalPlan) -> str:
"""Compute the output column name based on the provided logical plan."""
return self.expr.column_name(plan._raw_plan)
def order_by(self, *exprs: Expr | SortExpr) -> ExprFuncBuilder:
"""Set the ordering for a window or aggregate function.
This function will create an :py:class:`ExprFuncBuilder` that can be used to
set parameters for either window or aggregate functions. If used on any other
type of expression, an error will be generated when ``build()`` is called.
"""
return ExprFuncBuilder(self.expr.order_by([sort_or_default(e) for e in exprs]))
def filter(self, filter: Expr) -> ExprFuncBuilder:
"""Filter an aggregate function.
This function will create an :py:class:`ExprFuncBuilder` that can be used to
set parameters for either window or aggregate functions. If used on any other
type of expression, an error will be generated when ``build()`` is called.
"""
return ExprFuncBuilder(self.expr.filter(filter.expr))
def distinct(self) -> ExprFuncBuilder:
"""Only evaluate distinct values for an aggregate function.
This function will create an :py:class:`ExprFuncBuilder` that can be used to
set parameters for either window or aggregate functions. If used on any other
type of expression, an error will be generated when ``build()`` is called.
"""
return ExprFuncBuilder(self.expr.distinct())
def null_treatment(self, null_treatment: NullTreatment) -> ExprFuncBuilder:
"""Set the treatment for ``null`` values for a window or aggregate function.
This function will create an :py:class:`ExprFuncBuilder` that can be used to
set parameters for either window or aggregate functions. If used on any other
type of expression, an error will be generated when ``build()`` is called.
"""
return ExprFuncBuilder(self.expr.null_treatment(null_treatment.value))
def partition_by(self, *partition_by: Expr) -> ExprFuncBuilder:
"""Set the partitioning for a window function.
This function will create an :py:class:`ExprFuncBuilder` that can be used to
set parameters for either window or aggregate functions. If used on any other
type of expression, an error will be generated when ``build()`` is called.
"""
return ExprFuncBuilder(self.expr.partition_by([e.expr for e in partition_by]))
def window_frame(self, window_frame: WindowFrame) -> ExprFuncBuilder:
"""Set the frame fora window function.
This function will create an :py:class:`ExprFuncBuilder` that can be used to
set parameters for either window or aggregate functions. If used on any other
type of expression, an error will be generated when ``build()`` is called.
"""
return ExprFuncBuilder(self.expr.window_frame(window_frame.window_frame))
def over(self, window: Window) -> Expr:
"""Turn an aggregate function into a window function.
This function turns any aggregate function into a window function. With the
exception of ``partition_by``, how each of the parameters is used is determined
by the underlying aggregate function.
Args:
window: Window definition
"""
partition_by_raw = expr_list_to_raw_expr_list(window._partition_by)
order_by_raw = window._order_by
window_frame_raw = (
window._window_frame.window_frame
if window._window_frame is not None
else None
)
null_treatment_raw = (
window._null_treatment.value if window._null_treatment is not None else None
)
return Expr(
self.expr.over(
partition_by=partition_by_raw,
order_by=order_by_raw,
window_frame=window_frame_raw,
null_treatment=null_treatment_raw,
)
)
def asin(self) -> Expr:
"""Returns the arc sine or inverse sine of a number."""
from . import functions as F
return F.asin(self)
def array_pop_back(self) -> Expr:
"""Returns the array without the last element."""
from . import functions as F
return F.array_pop_back(self)
def reverse(self) -> Expr:
"""Reverse the string argument."""
from . import functions as F
return F.reverse(self)
def bit_length(self) -> Expr:
"""Returns the number of bits in the string argument."""
from . import functions as F
return F.bit_length(self)
def array_length(self) -> Expr:
"""Returns the length of the array."""
from . import functions as F
return F.array_length(self)
def array_ndims(self) -> Expr:
"""Returns the number of dimensions of the array."""
from . import functions as F
return F.array_ndims(self)
def to_hex(self) -> Expr:
"""Converts an integer to a hexadecimal string."""
from . import functions as F
return F.to_hex(self)
def array_dims(self) -> Expr:
"""Returns an array of the array's dimensions."""
from . import functions as F
return F.array_dims(self)
def from_unixtime(self) -> Expr:
"""Converts an integer to RFC3339 timestamp format string."""
from . import functions as F
return F.from_unixtime(self)
def array_empty(self) -> Expr:
"""Returns a boolean indicating whether the array is empty."""
from . import functions as F
return F.array_empty(self)
def sin(self) -> Expr:
"""Returns the sine of the argument."""
from . import functions as F
return F.sin(self)
def log10(self) -> Expr:
"""Base 10 logarithm of the argument."""
from . import functions as F
return F.log10(self)
def initcap(self) -> Expr:
"""Set the initial letter of each word to capital.
Converts the first letter of each word in ``string`` to uppercase and the
remaining characters to lowercase.
"""
from . import functions as F
return F.initcap(self)
def list_distinct(self) -> Expr:
"""Returns distinct values from the array after removing duplicates.
This is an alias for :py:func:`array_distinct`.
"""
from . import functions as F
return F.list_distinct(self)
def iszero(self) -> Expr:
"""Returns true if a given number is +0.0 or -0.0 otherwise returns false."""
from . import functions as F
return F.iszero(self)
def array_distinct(self) -> Expr:
"""Returns distinct values from the array after removing duplicates."""
from . import functions as F
return F.array_distinct(self)
def arrow_typeof(self) -> Expr:
"""Returns the Arrow type of the expression."""
from . import functions as F
return F.arrow_typeof(self)
def length(self) -> Expr:
"""The number of characters in the ``string``."""
from . import functions as F
return F.length(self)
def lower(self) -> Expr:
"""Converts a string to lowercase."""
from . import functions as F
return F.lower(self)
def acos(self) -> Expr:
"""Returns the arc cosine or inverse cosine of a number.
Returns:
--------
Expr
A new expression representing the arc cosine of the input expression.
"""
from . import functions as F
return F.acos(self)
def ascii(self) -> Expr:
"""Returns the numeric code of the first character of the argument."""
from . import functions as F
return F.ascii(self)
def sha384(self) -> Expr:
"""Computes the SHA-384 hash of a binary string."""
from . import functions as F
return F.sha384(self)
def isnan(self) -> Expr:
"""Returns true if a given number is +NaN or -NaN otherwise returns false."""
from . import functions as F
return F.isnan(self)
def degrees(self) -> Expr:
"""Converts the argument from radians to degrees."""
from . import functions as F
return F.degrees(self)
def cardinality(self) -> Expr:
"""Returns the total number of elements in the array."""
from . import functions as F
return F.cardinality(self)
def sha224(self) -> Expr:
"""Computes the SHA-224 hash of a binary string."""
from . import functions as F
return F.sha224(self)
def asinh(self) -> Expr:
"""Returns inverse hyperbolic sine."""
from . import functions as F
return F.asinh(self)
def flatten(self) -> Expr:
"""Flattens an array of arrays into a single array."""
from . import functions as F
return F.flatten(self)
def exp(self) -> Expr:
"""Returns the exponential of the argument."""
from . import functions as F
return F.exp(self)
def abs(self) -> Expr:
"""Return the absolute value of a given number.
Returns:
--------
Expr