_drop_labels_or_levels(self, keys, axis: 'int' = 0)

For each key in keys :

• (axis=0): If key matches a column label then drop the column. Otherwise if key matches an index level then drop the level.

• (axis=1): If key matches an index label then drop the row. Otherwise if key matches a column level then drop the level.

Parameters

keys : str or list of str

labels or levels to drop

axis : int, default 0

Axis that levels are associated with (0 for index, 1 for columns)

Raises

ValueError

if any keys match neither a label nor a level

Returns

dropped: DataFrame

Drop labels and/or levels for the given :None:None:`axis`.

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

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File: /pandas/core/generic.py#1861
type: <class 'function'>
Commit: