% for row in table:
% for cell in row:
| ${cell} |
% endfor cell
% endfor row
In a horizontal table, each row is filled before going on to the next row.
This is the same as dividing the list into chunks.
.. code-block:: pycon
>>> distribute([1, 2, 3, 4, 5, 6, 7, 8], 3, "H")
[[1, 2, 3], [4, 5, 6], [7, 8, None]]
In a vertical table, the first element of each sublist is filled before
going on to the second element. This is useful for displaying an
alphabetical list in columns, or when the entire column will be placed in
a single with a
between each element.
.. code-block:: pycon
>>> food = ["apple", "banana", "carrot", "daikon", "egg", "fish", "gelato", "honey"]
>>> table = distribute(food, 3, "V", "")
>>> table
[['apple', 'daikon', 'gelato'], ['banana', 'egg', 'honey'], ['carrot', 'fish', '']]
>>> for row in table:
... for item in row:
... print "%-9s" % item,
... print "." # To show where the line ends.
...
apple daikon gelato .
banana egg honey .
carrot fish .
Alternatives to this function include a NumPy matrix of objects.
i s arg 'columns' must be >= 1i t Ht Vs, arg ``direction`` must start with 'H' or 'V'N( t
ValueErrort uppert ranget lent extendR: t divmodt enumerate( t list columnst directiont fillt dirt tableRT t rowt row_lent extraR% t rowst remainderR. R) R5 t col( ( s9 /usr/lib/python2.6/site-packages/webhelpers/containers.pyt
distribute’ s4 E
.
c C si | p g Sg } xP t t | d ƒ ƒ D]8 } g } | D] } | | | q: ~ } | i | ƒ q) W| S( s¶ Turn a list of lists sideways, making columns into rows and vice-versa.
The result is undefined if the array is not rectangular; i.e., if
``len(array[n]) != len(array[0])``. You may get an ``IndexError`` or
missing items.
Picture the first example as:
A B C => A D
D E F B E
C F
The source array is row-major (``array[n]`` is a row, ``array[n][0]`` is
the first element of the row), which is good for an HTML table which is
also row-major (columns within rows). The result is column-major
(``array[n]`` is a column, ``array[n][0]`` is the first row in the column),
which is good for a group of columns with
between rows.
>>> transpose([["A", "B", "C"], ["D", "E", "F"]])
[['A', 'D'], ['B', 'E'], ['C', 'F']]
>>> transpose([["A", "B"], ["C", "D"], ["E", "F"]])
[['A', 'C', 'E'], ['B', 'D', 'F']]
>>> transpose([])
[]
i ( Rc Rd R: ( t arrayRC t cR. Rn Rs ( ( s9 /usr/lib/python2.6/site-packages/webhelpers/containers.pyt transposeó s %t __main__( R R' t collectionsR t ImportErrorR t objectR R R" R8 R> RD RG RH RK t TrueRQ RR RX R^ R Rt Rw R t doctestt testmod( ( ( s9 /usr/lib/python2.6/site-packages/webhelpers/containers.pyt s. )J+
! # a #
|