MCPcopy
hub / github.com/pandas-dev/pandas / __init__

Method __init__

pandas/core/resample.py:2385–2499  ·  view source on GitHub ↗
(
        self,
        obj: Grouper | None = None,
        freq: Frequency = "Min",
        key: str | None = None,
        closed: Literal["left", "right"] | None = None,
        label: Literal["left", "right"] | None = None,
        how: str = "mean",
        fill_method=None,
        limit: int | None = None,
        convention: Literal["start", "end", "e", "s"] | None = None,
        origin: (
            Literal["epoch", "start", "start_day", "end", "end_day"]
            | TimestampConvertibleTypes
        ) = "start_day",
        offset: TimedeltaConvertibleTypes | None = None,
        group_keys: bool = False,
        **kwargs,
    )

Source from the content-addressed store, hash-verified

2383 origin: TimeGrouperOrigin
2384
2385 def __init__(
2386 self,
2387 obj: Grouper | None = None,
2388 freq: Frequency = "Min",
2389 key: str | None = None,
2390 closed: Literal["left", "right"] | None = None,
2391 label: Literal["left", "right"] | None = None,
2392 how: str = "mean",
2393 fill_method=None,
2394 limit: int | None = None,
2395 convention: Literal["start", "end", "e", "s"] | None = None,
2396 origin: (
2397 Literal["epoch", "start", "start_day", "end", "end_day"]
2398 | TimestampConvertibleTypes
2399 ) = "start_day",
2400 offset: TimedeltaConvertibleTypes | None = None,
2401 group_keys: bool = False,
2402 **kwargs,
2403 ) -> None:
2404 # Check for correctness of the keyword arguments which would
2405 # otherwise silently use the default if misspelled
2406 if label not in {None, "left", "right"}:
2407 raise ValueError(f"Unsupported value {label} for `label`")
2408 if closed not in {None, "left", "right"}:
2409 raise ValueError(f"Unsupported value {closed} for `closed`")
2410 if convention not in {None, "start", "end", "e", "s"}:
2411 raise ValueError(f"Unsupported value {convention} for `convention`")
2412
2413 if (key is None and obj is not None and isinstance(obj.index, PeriodIndex)) or ( # type: ignore[attr-defined]
2414 key is not None
2415 and obj is not None
2416 and getattr(obj[key], "dtype", None) == "period" # type: ignore[index]
2417 ):
2418 freq = to_offset(freq, is_period=True)
2419 else:
2420 freq = to_offset(freq)
2421
2422 if not isinstance(freq, Tick):
2423 if offset is not None:
2424 warnings.warn(
2425 "The 'offset' keyword does not take effect when resampling "
2426 "with a 'freq' that is not Tick-like (h, m, s, ms, us, ns)",
2427 RuntimeWarning,
2428 stacklevel=find_stack_level(),
2429 )
2430 if origin != "start_day":
2431 warnings.warn(
2432 "The 'origin' keyword does not take effect when resampling "
2433 "with a 'freq' that is not Tick-like (h, m, s, ms, us, ns)",
2434 RuntimeWarning,
2435 stacklevel=find_stack_level(),
2436 )
2437
2438 end_types = {"ME", "YE", "QE", "BME", "BYE", "BQE", "W"}
2439 rule = freq.rule_code
2440 if rule in end_types or ("-" in rule and rule[: rule.find("-")] in end_types):
2441 if closed is None:
2442 closed = "right"

Callers

nothing calls this directly

Calls 3

find_stack_levelFunction · 0.90
findMethod · 0.45
__init__Method · 0.45

Tested by

no test coverage detected