Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

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

DOC: fix warnings in whatsnew about MI.labels -> codes rename #24150

Merged
merged 1 commit into from
Dec 7, 2018
Merged

DOC: fix warnings in whatsnew about MI.labels -> codes rename #24150

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
68 changes: 52 additions & 16 deletions doc/source/whatsnew/v0.10.1.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -97,22 +97,58 @@ columns, this is equivalent to passing a

``HDFStore`` now serializes MultiIndex dataframes when appending tables.

.. ipython:: python

index = MultiIndex(levels=[['foo', 'bar', 'baz', 'qux'],
['one', 'two', 'three']],
labels=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3],
[0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
names=['foo', 'bar'])
df = DataFrame(np.random.randn(10, 3), index=index,
columns=['A', 'B', 'C'])
df

store.append('mi',df)
store.select('mi')

# the levels are automatically included as data columns
store.select('mi', "foo='bar'")
.. code-block:: ipython

In [19]: index = MultiIndex(levels=[['foo', 'bar', 'baz', 'qux'],
....: ['one', 'two', 'three']],
....: labels=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3],
....: [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
....: names=['foo', 'bar'])
....:

In [20]: df = DataFrame(np.random.randn(10, 3), index=index,
....: columns=['A', 'B', 'C'])
....:

In [21]: df
Out[21]:
A B C
foo bar
foo one -0.116619 0.295575 -1.047704
two 1.640556 1.905836 2.772115
three 0.088787 -1.144197 -0.633372
bar one 0.925372 -0.006438 -0.820408
two -0.600874 -1.039266 0.824758
baz two -0.824095 -0.337730 -0.927764
three -0.840123 0.248505 -0.109250
qux one 0.431977 -0.460710 0.336505
two -3.207595 -1.535854 0.409769
three -0.673145 -0.741113 -0.110891

In [22]: store.append('mi',df)

In [23]: store.select('mi')
Out[23]:
A B C
foo bar
foo one -0.116619 0.295575 -1.047704
two 1.640556 1.905836 2.772115
three 0.088787 -1.144197 -0.633372
bar one 0.925372 -0.006438 -0.820408
two -0.600874 -1.039266 0.824758
baz two -0.824095 -0.337730 -0.927764
three -0.840123 0.248505 -0.109250
qux one 0.431977 -0.460710 0.336505
two -3.207595 -1.535854 0.409769
three -0.673145 -0.741113 -0.110891

# the levels are automatically included as data columns
In [24]: store.select('mi', "foo='bar'")
Out[24]:
A B C
foo bar
bar one 0.925372 -0.006438 -0.820408
two -0.600874 -1.039266 0.824758

Multi-table creation via ``append_to_multiple`` and selection via
``select_as_multiple`` can create/select from multiple tables and return a
Expand Down
4 changes: 2 additions & 2 deletions doc/source/whatsnew/v0.20.0.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -899,8 +899,8 @@ doesn't behave as desired.

df = pd.DataFrame(
{'value': [1, 2, 3, 4]},
index=pd.MultiIndex(levels=[['a', 'b'], ['bb', 'aa']],
labels=[[0, 0, 1, 1], [0, 1, 0, 1]]))
index=pd.MultiIndex([['a', 'b'], ['bb', 'aa']],
[[0, 0, 1, 1], [0, 1, 0, 1]]))
df

Previous Behavior:
Expand Down