pandas 1.4.2

ParametersReturnsBackRef
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

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.nanops.nansum

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File: /pandas/core/nanops.py#580
type: <class 'function'>
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