lookfor(what, module=None, import_modules=True, regenerate=False, output=None)
A list of objects that matched the search is displayed, sorted by relevance. All given keywords need to be found in the docstring for it to be returned as a result, but the order does not matter.
Relevance is determined only roughly, by checking if the keywords occur in the function name, at the start of a docstring, etc.
String containing words to look for.
Name of module(s) whose docstrings to go through.
Whether to import sub-modules in packages. Default is True.
Whether to re-generate the docstring cache. Default is False.
File-like object to write the output to. If omitted, use a pager.
Do a keyword search on docstrings.
>>> np.lookfor('binary representation') # doctest: +SKIP Search results for 'binary representation' ------------------------------------------ numpy.binary_repr Return the binary representation of the input number as a string. numpy.core.setup_common.long_double_representation Given a binary dump as given by GNU od -b, look for long double numpy.base_repr Return a string representation of a number in the given base system. ...See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.info
numpy.source
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