nansum(values: 'np.ndarray', *, axis: 'int | None' = None, skipna: 'bool' = True, min_count: 'int' = 0, mask: 'npt.NDArray[np.bool_] | None' = None) -> 'float'

Parameters

values : ndarray[dtype]

axis : int, optional

skipna : bool, default True

min_count: int, default 0 :

mask : ndarray[bool], optional

nan-mask if known

Returns

result : dtype

Sum the elements along an axis ignoring NaNs

Examples

This example is valid syntax, but we were not able to check execution

>>> import pandas.core.nanops as nanops
... s = pd.Series([1, 2, np.nan])
... nanops.nansum(s)
3.0

See :

Back References

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pandas.core.nanops.nansum

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File: /pandas/core/nanops.py#580
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