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Add type hints for matplotlib.dates module#30126
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I've only done up to the formatters; please correct the default values in the rest.
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Thanks for the review@QuLogic. |
Please handle the rest of these. |
Done thanks again !! |
fmt: str | ||
def __init__(self, fmt: str, tz: str | datetime.tzinfo | None = ..., *, usetex: bool | None = ...) -> None: ... | ||
def __call__(self, x: float, pos: int | None = ...) -> str: ... |
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This inherits fromFormatter
, so can be dropped.
zero_formats: Sequence[str] | None = ..., | ||
show_offset: bool = ..., | ||
*, usetex: bool | None = ...) -> None: ... | ||
def __call__(self, x: float, pos: int | None = ...) -> str: ... |
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Ditto.
defaultfmt: str = ..., | ||
*, usetex: bool | None = ...) -> None: ... | ||
def _set_locator(self, locator: Locator) -> None: ... | ||
def __call__(self, x: float, pos: int | None = ...) -> str: ... |
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Ditto.
show_offset: bool = ..., | ||
*, usetex: bool | None = ...) -> None: ... | ||
def __call__(self, x: float, pos: int | None = ...) -> str: ... | ||
def format_ticks(self, values: Sequence[float]) -> list[str]: ... |
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Also inherited.
def __call__(self, x: float, pos: int | None = ...) -> str: ... | ||
def format_ticks(self, values: Sequence[float]) -> list[str]: ... | ||
def get_offset(self) -> str: ... | ||
def format_data_short(self, value: float) -> str: ... |
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Also inherited.
@staticmethod | ||
def axisinfo(unit: datetime.tzinfo | None, axis: Axis) -> None: ... |
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This isn't a static method, and doesn't returnNone
.
@staticmethod | ||
def axisinfo(unit: datetime.tzinfo | None, axis: Axis) -> None: ... | ||
@staticmethod | ||
def convert(obj: datetime.datetime | datetime.date | float | np.datetime64 | Sequence[datetime.datetime | datetime.date | float | np.datetime64], |
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obj
is namedvalue
in the source. Also where didfloat
anddatetime.date
input come from? This goes throughdate2num
which takesdatetime.datetime | np.datetime64
.
And probably this should be overloaded likedate2num
.
@staticmethod | ||
def axisinfo(unit: datetime.tzinfo | None, axis: Axis) -> None: ... |
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Same as above, isn't static and doesn't returnNone
.
class _SwitchableDateConverter: | ||
@staticmethod | ||
def _get_converter() -> "ConciseDateConverter" | "DateConverter": ... |
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Note sure why these are quoted.
@staticmethod | ||
def axisinfo(unit: datetime.tzinfo | None, axis: Axis) -> AxisInfo: ... | ||
@staticmethod | ||
def default_units(x: datetime.datetime | datetime.date | float | np.ndarray | Sequence[datetime.datetime | datetime.date | float | np.datetime64], | ||
axis: Axis) -> datetime.tzinfo | None: ... | ||
@staticmethod | ||
def convert(value: datetime.datetime | datetime.date | float | np.datetime64 | Sequence[datetime.datetime | datetime.date | float | np.datetime64], | ||
unit: datetime.tzinfo | None, axis: Axis) -> float | np.ndarray: ... |
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None of these are static.
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PR Summary
This pull request introduces comprehensive type hint stubs (
.pyi
files) for thematplotlib.dates
module.Why this change is necessary:
By providing explicit type information, this enhancement significantly improves static type checking capabilities for
matplotlib.dates
. Developers using tools like MyPy, Pyright, or Ruff can now catch potential type-related errors earlier in the development cycle, leading to more robust and maintainable code.Problem solved:
This PR addresses the current lack of precise type information for
matplotlib.dates
classes and functions during static analysis. It makes the module's API more explicit and easier for automated type-checking tools to understand and validate.Implementation reasoning:
The implementation involves adding
.pyi
files that define the types for the core classes and functions withinmatplotlib.dates.py
. This change directly contributes to Matplotlib's ongoing initiative to expand and improve type hinting coverage across its codebase, fostering better developer experience and code quality.Closes#29994
PR Checklist
matplotlib.dates.DateFormatter
#29994" is in the body of the PR description tolink the related issuemypy
or similar type checkers to ensure no errors are introduced.Test Result
mypy, ruff and Pyright with the new

dates.pyi