We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Take this example:
arrays = [['bar', 'bar', 'baz', 'baz', 'qux', 'qux', 'foo', 'foo'], ['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']] tuples = zip(*arrays) tuples index = MultiIndex.from_tuples(tuples) s = Series(randn(8), index=index)
This does not yield the expected result:
s['qux']
The text was updated successfully, but these errors were encountered:
This really should work even though things aren't sorted by the first level
Sorry, something went wrong.
ENH: indexing object with MultiIndex works if indexing the top level.…
fe50bec
… address GH #120
Merge pull request pandas-dev#120 from manahl/timefixes
95c6356
Fixes to support latest versions of dateutil and Numpy
No branches or pull requests
Take this example:
arrays = [['bar', 'bar', 'baz', 'baz', 'qux', 'qux', 'foo', 'foo'],
['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
tuples = zip(*arrays)
tuples
index = MultiIndex.from_tuples(tuples)
s = Series(randn(8), index=index)
This does not yield the expected result:
s['qux']
The text was updated successfully, but these errors were encountered: