Skip to content

[SPARK-36617][PYTHON] Fix type hints for approxQuantile to support multi-column version #33880

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
carylee wants to merge 6 commits into from
Closed

[SPARK-36617][PYTHON] Fix type hints for approxQuantile to support multi-column version #33880

Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
641eff6
[SPARK-36617] Fix type hints for `approxQuantile`
carylee Aug 31, 2021
a4e7025
Undo `black` formatting changes to unrelated code
carylee Sep 1, 2021
f1b96df
Making a trivial change
carylee Sep 1, 2021
8541249
Undoing trivial change (just trying to trigger github actions)
carylee Sep 1, 2021
90a2822
Another trivial change (there's probably another way to do this)
carylee Sep 1, 2021
0c9590f
Redoing trivial change
carylee Sep 1, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 23 additions & 4 deletions python/pyspark/sql/dataframe.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -240,12 +240,20 @@ class DataFrame(PandasMapOpsMixin, PandasConversionMixin):
value: OptionalPrimitiveType,
subset: Optional[List[str]] = ...,
) -> DataFrame: ...
@overload
def approxQuantile(
self,
col: Union[str, Tuple[str, ...], List[str]],
probabilities: Union[List[float], Tuple[float, ...]],
relativeError: float
col: str,
probabilities: Union[List[float], Tuple[float]],
relativeError: float,
) -> List[float]: ...
@overload
def approxQuantile(
self,
col: Union[List[str], Tuple[str]],
probabilities: Union[List[float], Tuple[float]],
relativeError: float,
) -> List[List[float]]: ...
def corr(self, col1: str, col2: str, method: Optional[str] = ...) -> float: ...
def cov(self, col1: str, col2: str) -> float: ...
def crosstab(self, col1: str, col2: str) -> DataFrame: ...
Expand Down Expand Up @@ -318,9 +326,20 @@ class DataFrameNaFunctions:
class DataFrameStatFunctions:
df: DataFrame
def __init__(self, df: DataFrame) -> None: ...
@overload
def approxQuantile(
self, col: str, probabilities: List[float], relativeError: float
self,
col: str,
probabilities: Union[List[float], Tuple[float]],
relativeError: float,
) -> List[float]: ...
@overload
def approxQuantile(
self,
col: Union[List[str], Tuple[str]],
probabilities: Union[List[float], Tuple[float]],
relativeError: float,
) -> List[List[float]]: ...
def corr(self, col1: str, col2: str, method: Optional[str] = ...) -> float: ...
def cov(self, col1: str, col2: str) -> float: ...
def crosstab(self, col1: str, col2: str) -> DataFrame: ...
Expand Down