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30 changes: 30 additions & 0 deletions python/datafusion/conftest.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,30 @@
# 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.

"""Pytest configuration for doctest namespace injection."""

import numpy as np
import pytest

import datafusion as dfn


@pytest.fixture(autouse=True)
def _doctest_namespace(doctest_namespace: dict) -> None:
"""Add common imports to the doctest namespace."""
doctest_namespace["dfn"] = dfn
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This auto imports dfn and np to save 2 lines in each example.

doctest_namespace["np"] = np
191 changes: 172 additions & 19 deletions python/datafusion/functions.py
Original file line number Diff line number Diff line change
Expand Up @@ -491,16 +491,28 @@ def abs(arg: Expr) -> Expr:
def acos(arg: Expr) -> Expr:
"""Returns the arc cosine or inverse cosine of a number.

Returns:
--------
Expr
A new expression representing the arc cosine of the input expression.
Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [1.0]})
>>> result = df.select(dfn.functions.acos(dfn.col("a")).alias("acos"))
>>> result.collect_column("acos")[0].as_py()
0.0
"""
return Expr(f.acos(arg.expr))


def acosh(arg: Expr) -> Expr:
"""Returns inverse hyperbolic cosine."""
"""Returns inverse hyperbolic cosine.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [1.0]})
>>> result = df.select(dfn.functions.acosh(dfn.col("a")).alias("acosh"))
>>> result.collect_column("acosh")[0].as_py()
0.0
"""
return Expr(f.acosh(arg.expr))


Expand All @@ -510,27 +522,74 @@ def ascii(arg: Expr) -> Expr:


def asin(arg: Expr) -> Expr:
"""Returns the arc sine or inverse sine of a number."""
"""Returns the arc sine or inverse sine of a number.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.asin(dfn.col("a")).alias("asin"))
>>> result.collect_column("asin")[0].as_py()
0.0
"""
return Expr(f.asin(arg.expr))


def asinh(arg: Expr) -> Expr:
"""Returns inverse hyperbolic sine."""
"""Returns inverse hyperbolic sine.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.asinh(dfn.col("a")).alias("asinh"))
>>> result.collect_column("asinh")[0].as_py()
0.0
"""
return Expr(f.asinh(arg.expr))


def atan(arg: Expr) -> Expr:
"""Returns inverse tangent of a number."""
"""Returns inverse tangent of a number.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.atan(dfn.col("a")).alias("atan"))
>>> result.collect_column("atan")[0].as_py()
0.0
"""
return Expr(f.atan(arg.expr))


def atanh(arg: Expr) -> Expr:
"""Returns inverse hyperbolic tangent."""
"""Returns inverse hyperbolic tangent.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.atanh(dfn.col("a")).alias("atanh"))
>>> result.collect_column("atanh")[0].as_py()
0.0
"""
return Expr(f.atanh(arg.expr))


def atan2(y: Expr, x: Expr) -> Expr:
"""Returns inverse tangent of a division given in the argument."""
"""Returns inverse tangent of a division given in the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"y": [0.0], "x": [1.0]})
>>> result = df.select(
... dfn.functions.atan2(dfn.col("y"), dfn.col("x")).alias("atan2"))
>>> result = result
>>> result.collect_column("atan2")[0].as_py()
0.0
"""
return Expr(f.atan2(y.expr, x.expr))


Expand Down Expand Up @@ -581,22 +640,65 @@ def coalesce(*args: Expr) -> Expr:


def cos(arg: Expr) -> Expr:
"""Returns the cosine of the argument."""
"""Returns the cosine of the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0,-1,1]})
>>> cos_df = df.select(dfn.functions.cos(dfn.col("a")).alias("cos"))
>>> cos_df.collect_column("cos")[0].as_py()
1.0
"""
return Expr(f.cos(arg.expr))


def cosh(arg: Expr) -> Expr:
"""Returns the hyperbolic cosine of the argument."""
"""Returns the hyperbolic cosine of the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0,-1,1]})
>>> cosh_df = df.select(dfn.functions.cosh(dfn.col("a")).alias("cosh"))
>>> cosh_df.collect_column("cosh")[0].as_py()
1.0
"""
return Expr(f.cosh(arg.expr))


def cot(arg: Expr) -> Expr:
"""Returns the cotangent of the argument."""
"""Returns the cotangent of the argument.

Examples:
---------
>>> from math import pi
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [pi / 4]})
>>> import builtins
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If we don't like builtins then doctest has an ellipses notation for the expected returned values as well.

>>> result = df.select(
... dfn.functions.cot(dfn.col("a")).alias("cot")
... )
>>> builtins.round(
... result.collect_column("cot")[0].as_py(), 1
... )
1.0
"""
return Expr(f.cot(arg.expr))


def degrees(arg: Expr) -> Expr:
"""Converts the argument from radians to degrees."""
"""Converts the argument from radians to degrees.

Examples:
---------
>>> from math import pi
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0,pi,2*pi]})
>>> deg_df = df.select(dfn.functions.degrees(dfn.col("a")).alias("deg"))
>>> deg_df.collect_column("deg")[2].as_py()
360.0
"""
return Expr(f.degrees(arg.expr))


Expand Down Expand Up @@ -774,7 +876,22 @@ def pow(base: Expr, exponent: Expr) -> Expr:


def radians(arg: Expr) -> Expr:
"""Converts the argument from degrees to radians."""
"""Converts the argument from degrees to radians.

Examples:
---------
>>> from math import pi
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [180.0]})
>>> import builtins
>>> result = df.select(
... dfn.functions.radians(dfn.col("a")).alias("rad")
... )
>>> builtins.round(
... result.collect_column("rad")[0].as_py(), 6
... )
3.141593
"""
return Expr(f.radians(arg.expr))


Expand Down Expand Up @@ -935,12 +1052,30 @@ def signum(arg: Expr) -> Expr:


def sin(arg: Expr) -> Expr:
"""Returns the sine of the argument."""
"""Returns the sine of the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.sin(dfn.col("a")).alias("sin"))
>>> result.collect_column("sin")[0].as_py()
0.0
"""
return Expr(f.sin(arg.expr))


def sinh(arg: Expr) -> Expr:
"""Returns the hyperbolic sine of the argument."""
"""Returns the hyperbolic sine of the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.sinh(dfn.col("a")).alias("sinh"))
>>> result.collect_column("sinh")[0].as_py()
0.0
"""
return Expr(f.sinh(arg.expr))


Expand Down Expand Up @@ -988,12 +1123,30 @@ def substring(string: Expr, position: Expr, length: Expr) -> Expr:


def tan(arg: Expr) -> Expr:
"""Returns the tangent of the argument."""
"""Returns the tangent of the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.tan(dfn.col("a")).alias("tan"))
>>> result.collect_column("tan")[0].as_py()
0.0
"""
return Expr(f.tan(arg.expr))


def tanh(arg: Expr) -> Expr:
"""Returns the hyperbolic tangent of the argument."""
"""Returns the hyperbolic tangent of the argument.

Examples:
---------
>>> ctx = dfn.SessionContext()
>>> df = ctx.from_pydict({"a": [0.0]})
>>> result = df.select(dfn.functions.tanh(dfn.col("a")).alias("tanh"))
>>> result.collect_column("tanh")[0].as_py()
0.0
"""
return Expr(f.tanh(arg.expr))


Expand Down