select_as_multiple(self, keys, where=None, selector=None, columns=None, start=None, stop=None, iterator=False, chunksize=None, auto_close: 'bool' = False)

Parameters

keys : a list of the tables

selector : the table to apply the where criteria (defaults to keys[0]

if not supplied)

columns : the columns I want back

start : integer (defaults to None), row number to start selection

stop : integer (defaults to None), row number to stop selection

iterator : bool, return an iterator, default False

chunksize : nrows to include in iteration, return an iterator

auto_close : bool, default False

Should automatically close the store when finished.

Raises

raises KeyError if keys or selector is not found or keys is empty

raises TypeError if keys is not a list or tuple

raises ValueError if the tables are not ALL THE SAME DIMENSIONS

Retrieve pandas objects from multiple tables.

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/io/pytables.py#949
type: <class 'function'>
Commit: