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Functions for arithmetic and comparison operations on NumPy arrays and
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ExtensionArrays.
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é )Ú annotationsN)Úpartial)Ú TYPE_CHECKINGÚAny)ÚNaTÚ TimedeltaÚ TimestampÚlibÚops)Ú
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If a non-None fill_value is given, replace null entries in left and right
|
with this value, but only in positions where _one_ of left/right is null,
|
not both.
|
|
Parameters
|
----------
|
left : array-like
|
right : array-like
|
fill_value : object
|
|
Returns
|
-------
|
left : array-like
|
right : array-like
|
|
Notes
|
-----
|
Makes copies if fill_value is not None and NAs are present.
|
)r ÚanyÚcopy)ÚleftÚrightÚ
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fill_valueÚ left_maskÚ
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If the given arithmetic operation fails, attempt it again on
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only the non-null elements of the input array(s).
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x : np.ndarray
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y : np.ndarray, Series, Index
|
op : binary operator
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Return the result of evaluating op on the passed in values.
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If native types are not compatible, try coercion to object dtype.
|
|
Parameters
|
----------
|
left : np.ndarray
|
right : np.ndarray or scalar
|
Excludes DataFrame, Series, Index, ExtensionArray.
|
is_cmp : bool, default False
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If this a comparison operation.
|
|
Returns
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-------
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array-like
|
|
Raises
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------
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TypeError : invalid operation
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Evaluate an arithmetic operation `+`, `-`, `*`, `/`, `//`, `%`, `**`, ...
|
|
Note: the caller is responsible for ensuring that numpy warnings are
|
suppressed (with np.errstate(all="ignore")) if needed.
|
|
Parameters
|
----------
|
left : np.ndarray or ExtensionArray
|
right : object
|
Cannot be a DataFrame or Index. Series is *not* excluded.
|
op : {operator.add, operator.sub, ...}
|
Or one of the reversed variants from roperator.
|
|
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ndarray or ExtensionArray
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Evaluate a comparison operation `=`, `!=`, `>=`, `>`, `<=`, or `<`.
|
|
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|
suppressed (with np.errstate(all="ignore")) if needed.
|
|
Parameters
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----------
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left : np.ndarray or ExtensionArray
|
right : object
|
Cannot be a DataFrame, Series, or Index.
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op : {operator.eq, operator.ne, operator.gt, operator.ge, operator.lt, operator.le}
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Evaluate a logical operation `|`, `&`, or `^`.
|
|
Parameters
|
----------
|
left : np.ndarray or ExtensionArray
|
right : object
|
Cannot be a DataFrame, Series, or Index.
|
op : {operator.and_, operator.or_, operator.xor}
|
Or one of the reversed variants from roperator.
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|
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ndarray or ExtensionArray
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c ó | j j dv r5t | « }|j « r| j t
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« } d| |< ||j j dk( r| j t « } | S )NÚcfOFrr )r7 rt r r' r8 r[ rl )rC r) r. s r/ Ú fill_boolz logical_op.<locals>.fill_bool sa à 77<<5Ñ ä7DØxxzØHHVÓ$Ø $à <4::??¨cÒ1ØAØr1 r7 zÚLogical ops (and, or, xor) between Pandas objects and dtype-less sequences (e.g. list, tuple) are deprecated and will raise in a future version. Wrap the object in a Series, Index, or np.array before operating instead.)Ú
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Return a binary array operation corresponding to the given operator op.
|
|
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Binary operator from operator or roperator module.
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Cast non-pandas objects to pandas types to unify behavior of arithmetic
|
and comparison operations.
|
|
Parameters
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----------
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obj: object
|
shape : tuple[int]
|
|
Returns
|
-------
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out : object
|
|
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|
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|
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