cloudmesh.aws.compute.AwsFlavors-Gregor

Module Contents

Classes

AwsImages

dict() -> new empty dictionary

class cloudmesh.aws.compute.AwsFlavors-Gregor.AwsImages

Bases: dict

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)

fetch(self)

extract_tables(self, html)

print(self, key=None)

pprint(self, key=None)

keys(self)

D.keys() -> a set-like object providing a view on D’s keys

__getitem__(self, item)

x.__getitem__(y) <==> x[y]

table(self, key, output='fancy_grid')

Available formats:

“df” “plain” “simple” “github” “grid” “fancy_grid” “pipe” “orgtbl” “jira” “presto” “psql” “rst” “mediawiki” “moinmoin” “youtrack” “html” “latex” “latex_raw” “latex_booktabs” “textile”

Parameters

• key –

• output –

Returns

cloudmesh.aws.compute.AwsFlavors-Gregor.images