@@ -825,8 +825,8 @@ From 4D ndarray with optional axis labels
825
825
826
826
.. ipython :: python
827
827
828
- p4d = Panel4D(randn(2 , 2 , 5 , 4 ),
829
- labels = [' Label1' ,' Label2' ],
828
+ p4d = Panel4D(randn(2 , 2 , 5 , 4 ),
829
+ labels = [' Label1' ,' Label2' ],
830
830
items = [' Item1' , ' Item2' ],
831
831
major_axis = date_range(' 1/1/2000' , periods = 5 ),
832
832
minor_axis = [' A' , ' B' , ' C' , ' D' ])
@@ -842,7 +842,7 @@ From dict of Panel objects
842
842
' Label2' : Panel({ ' Item2' : DataFrame(randn(4 , 2 )) }) }
843
843
Panel4D(data)
844
844
845
- Note that the values in the dict need only be **convertible to Panels **.
845
+ Note that the values in the dict need only be **convertible to Panels **.
846
846
Thus, they can be any of the other valid inputs to Panel as per above.
847
847
848
848
Slicing
@@ -897,9 +897,9 @@ Here we slice to a Panel4D.
897
897
898
898
from pandas.core import panelnd
899
899
Panel5D = panelnd.create_nd_panel_factory(
900
- klass_name = ' Panel5D' ,
901
- axis_orders = [ ' cool' , ' labels' ,' items' ,' major_axis' ,' minor_axis' ],
902
- axis_slices = { ' labels' : ' labels' , ' items' : ' items' ,
900
+ klass_name = ' Panel5D' ,
901
+ axis_orders = [ ' cool' , ' labels' ,' items' ,' major_axis' ,' minor_axis' ],
902
+ axis_slices = { ' labels' : ' labels' , ' items' : ' items' ,
903
903
' major_axis' : ' major_axis' , ' minor_axis' : ' minor_axis' },
904
904
slicer = Panel4D,
905
905
axis_aliases = { ' major' : ' major_axis' , ' minor' : ' minor_axis' },
0 commit comments