Difference between revisions of "Array Manipulation"

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<pre>
 
$
 
$$
 
$$$
 
$$F
 
$A
 
$C
 
$CELLS
 
$R
 
$X
 
$_
 
$d
 
$diag
 
$dth
 
$x
 
X$
 
ZJSON
 
__$
 
ac
 
accumulate
 
accumulatewith
 
across
 
add
 
addcolumn
 
addrow
 
addsequence
 
adjoint
 
aggregate
 
any
 
appendfunction
 
ar
 
async
 
atindex
 
atnode
 
backward
 
bindcolumn
 
branch
 
branchvalues
 
c
 
calci
 
car
 
cartesianproduct
 
cdr
 
cell
 
cells
 
checktype
 
chunks
 
ci
 
clean
 
clear
 
clearcopy
 
clearrepeats
 
clone
 
colconcat
 
colcount
 
collect
 
collectasvector
 
collectwhile
 
collectwhileasvector
 
column
 
columnconcat
 
columns
 
compare
 
concatall
 
converge
 
copy
 
core
 
count
 
crosstab
 
cube
 
cumcolumn
 
cumcolumns
 
cumcolumnswith
 
cumcolumnwith
 
cumrow
 
cumrows
 
cumrowswith
 
cumrowwith
 
cumulate
 
data
 
dc
 
deal
 
deepcopy
 
deletecolumn
 
deleterow
 
det
 
determinant
 
dim
 
div
 
divide
 
dr
 
drop
 
dropwhile
 
dropwhileasvector
 
eighteenth
 
eighth
 
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exec
 
explode
 
extract
 
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fillwith
 
filtermatches
 
filteroncolumn
 
filteroncondition
 
filteronrow
 
findcellref
 
first
 
firstelement
 
firsthalf
 
fixat
 
fjoin
 
flatten
 
flip
 
flipparts
 
fold
 
foldl
 
foldr
 
forward
 
fourteenth
 
fourth
 
fourths
 
funcjoin
 
gettype
 
graph
 
graphin
 
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parts
 
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pieces
 
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pipallwithslice
 
plot
 
prefix
 
primitives
 
print
 
printf
 
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rand
 
random
 
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removeindices
 
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repeatntimes
 
replace
 
replicate
 
rest
 
result
 
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reversesort
 
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rotatecolumns
 
rotaterows
 
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rowconcat
 
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setrow
 
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</pre>
 
  
  
 
*[[ Z%5E3_Language_Documentation | Z3 Language Documentation]]
 
*[[ Z%5E3_Language_Documentation | Z3 Language Documentation]]
 
*[[ Z3 | << Z3 Home ]]
 
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Revision as of 05:01, 6 September 2016

Introduction to Array Manipulation


Arrays/Sets/Matrices are fundamental data structures in z^3. Manipulation of such data structures are often done using custom code in most languages. However, z^3 offers a ton of Array member functions that make it a breeze to handle and manipulate such data structures.

For example, take .chunks().

a=1..100;

This creates a list of 100 numbers. Now, let us make them into chunks of 10 each.

a.chunks(10)

gives

1 2 3 4 5 6 7 8 9 10
11 12 13 14 15 16 17 18 19 20
21 22 23 24 25 26 27 28 29 30
31 32 33 34 35 36 37 38 39 40
41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60
61 62 63 64 65 66 67 68 69 70
71 72 73 74 75 76 77 78 79 80
81 82 83 84 85 86 87 88 89 90
91 92 93 94 95 96 97 98 99 100


Simple, isn't it?

The result gives a 10x10 matrix filled with the sequence of numbers from 1 to 100.

Let us say we want to calculate the sum of each row in this 10x10 matrix. The $$ row wise mapping function comes to the rescue.

b=a.chunks(10) b.$$(SUM)

55
155
255
355
455
555
655
755
855
955


ARRAY FUNCTIONS

A listing of the Array functions are given below:

Function name Parameter

Function Name Parameters
$
$$
$$$
$$F
$A
$C
$CELLS
$R
$X
$_
$d
$diag
$dth
$x
X$
ZJSON
__$
ac
accumulate
accumulatewith
across
add
addcolumn
addrow
addsequence
adjoint
aggregate
any
appendfunction
ar
async
atindex
atnode
backward
bindcolumn
branch
branchvalues
c
calci
car
cartesianproduct
cdr
cell
cells
checktype
chunks
ci
clean
clear
clearcopy
clearrepeats
clone
colconcat
colcount
collect
collectasvector
collectwhile
collectwhileasvector
column
columnconcat
columns
compare
concatall
converge
copy
core
count
crosstab
cube
cumcolumn
cumcolumns
cumcolumnswith
cumcolumnwith
cumrow
cumrows
cumrowswith
cumrowwith
cumulate
data
dc
deal
deepcopy
deletecolumn
deleterow
det
determinant
dim
div
divide
dr
drop
dropwhile
dropwhileasvector
eighteenth
eighth
eleventh
equal
equalvalues
eval
except
exec
explode
extract
few
fifteenth
fifth
fillwith
filtermatches
filteroncolumn
filteroncondition
filteronrow
findcellref
first
firstelement
firsthalf
fixat
fjoin
flatten
flip
flipparts
fold
foldl
foldr
forward
fourteenth
fourth
fourths
funcjoin
gettype
graph
graphin
half
halves
hderef
head
headings
hindex
hundredth
i
ic
ids
implode
inc
include
indices
injoin
insert
insertcolumn
insertrow
inverse
ir
is
is1d
is2d
isFalse
isTrue
islikelytype
isnotnull
isnull
istype
j
joincolumnswith
joinrowswith
joinwith
jq
keep
last
lastelement
list
lookup
make
make1to2d
makecore
makekeyarray
maplist
mapper
maprow
mask
match
matchcolumn
matchindex
matchrow
matchvalue
merge
mergecolumns
mergeio
mergerows
mid
millionth
multiply
nicejoin
nineteenth
nineth
nodeindex
notinclude
notwithinlimits
nth
ntimes
nullifyobjects
numbers
o
objects
of
otherthan
pack
pad
pair
pairmatch
partitiononcondition
parts
pastefolds
pick
pieces
pip
pipall
pipallwithslice
plot
prefix
primitives
print
printf
r
rand
random
remove
removeByVal
removeindices
removewith
repeatntimes
replace
replicate
rest
result
reverselevel
reversepip
reversesort
ri
rotate
rotatecolumns
rotaterows
row
rowconcat
rowcount
rowlengths
rowpush
rows
rslice
second
secondhalf
seq
set
setHeadings
setaxis
setcolumn
setrow
setunit
seventeenth
seventh
shiftlevel
shuffle
sixteenth
sixth
size
size2d
slices
slides
sortrecursively
sortwith
specialprint
spliteach
splitwhile
splitwhileasvector
stringlist
subtract
suchthat
suchthatasvector
suffix
t
table
tablelookup
tail
takewhile
takewhileasvector
tenth
third
thirds
thirteenth
thousandth
tofunctions
toobjectformat
totree
transpose
truefalse
twelfth
twentieth
twod
type
uncrosstab
unimplode
unimplodeleaf
unitsof
unwrapleaf
unzip
value
where
withinlimits
withouttail
x$
xy
xypanel
z3
zero
zip
zoompip
㪭㭲