pandas 1.4.2

ParametersReturns
_get_counts_nanvar(values_shape: 'Shape', mask: 'npt.NDArray[np.bool_] | None', axis: 'int | None', ddof: 'int', dtype: 'np.dtype' = dtype('float64')) -> 'tuple[int | float | np.ndarray, int | float | np.ndarray]'

Parameters

values_shape : Tuple[int, ...]

shape tuple from values ndarray, used if mask is None

mask : Optional[ndarray[bool]]

locations in values that should be considered missing

axis : Optional[int]

axis to count along

ddof : int

degrees of freedom

dtype : type, optional

type to use for count

Returns

count : int, np.nan or np.ndarray
d : int, np.nan or np.ndarray

Get the count of non-null values along an axis, accounting for degrees of freedom.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/nanops.py#816
type: <class 'function'>
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