A  
add [Vz.Stat]  add s v is the statistic s with value v added to the data.

add_flip [Vz.Stat]  add_flip v s is add s v .

C  
clamp [Vz.Scale]  clamp s is true if the map of s first clamps values
to the scale domain before mapping them (ensures the map returns
only values in the range).

count [Vz.Stat]  count s is the integral number of values in the data.

D  
div [Vz.Colors]  div a w s b c m h0 h1 () is a function mapping the unit interval
[0;1 ] to colors for a continuous diverging scheme with 0 returning
the darkest color of h0 , and 1 the darkest color of h1 .

div_d [Vz.Colors]  div_d a w s b c m h0 h1 n is like Vz.Colors.div except it returns
a discrete diverging scheme with n colors and c defaults
to min 0.88 (1.0  0.06 *. (11  ((n / 2) + 1))) .

dom [Vz.Scale]  dom s is the (possibly niced) domain of s .

dom_raw [Vz.Scale]  dom s is the unniced domain of s .

dot [Vz.Mark]  dot w is a dot of diameter w .

F  
fold [Vz.Stat]  fold f acc is f folded on the the data starting with
acc .

fold_ticks [Vz.Scale]  fold_ticks bounds n f acc scale folds f over approximatevely n
uniformly spaced values taken in scale 's domain using Vz.Nice.step
to determine the step value.

H  
htick [Vz.Mark]  htick l is a horizontal tick of length l .

L  
linear [Vz.Scale]  linear clamp nice (x0, x1) (y0, y1) is the map that
linearly transforms x0 on y0 and x1 on y1 .

list [Vz.Stat]  list l is the combined statistics of l on the data.

M  
map [Vz.Scale]  map s is the mapping function of s .

max [Vz.Stat]  max f is the maximum value of f on the data.

mean [Vz.Stat]  mean nan f is the mean of the values returned by f on the
data.

mean_var [Vz.Stat]  mean_var nan pop f is the mean and unbiased
sample
variance of the values returned by f on the sample data.

min [Vz.Stat]  min f is the minimum value of f on the data.

N  
nice [Vz.Scale]  nice s is true if the bounds of s are niced.

O  
ordinal [Vz.Scale]  ordinal cmp dom range maps the value dom _{i} to the value
range _{i mod max} with max = List.length range  1 .

P  
partial_map [Vz.Scale]  partial_map s is like map s except on ordinal scales
it returns None on undefined argument.

Q  
qual_d [Vz.Colors]  qual_d eps r s b c n is a qualitative scheme with n colors.

qual_fixed [Vz.Colors]  qual_fixed size q is fixed qualitative color scheme q
with size colors (defaults to qual_fixed_size q ) and alpha
component a (defaults to 1 ).

qual_fixed_size [Vz.Colors]  qual_fixed_size q is the maximal number of colors in qf .

R  
range [Vz.Scale]  range s is the range of s .

range [Vz.Stat]  range f is the range of f on the data, equivalent
to t2 (min f) (max f) .

range_bands [Vz.Scale]  
range_d [Vz.Stat]  range_d cmp f is the discrete range of f , the set of
values returned by f on the data.

range_pts [Vz.Scale]  
S  
seq [Vz.Colors]  seq a w s b c h () is a function mapping the unit interval [0;1 ]
to colors with a continuous sequential scheme where 0 is
the darkest color and 1 the lightest.

seq_d [Vz.Colors]  seq_d a w s b c h n is like Vz.Colors.seq except it
returns a discrete sequential scheme with n colors and
c defaults to min 0.88 (0.34 +. 0.06. * n) .

square [Vz.Mark]  square w is a square of side w .

step [Vz.Nice]  step n v0 v1 is a nice step size for sampling the directed interval
[v0 ;v1 ] approximatively n times.

step_ceil [Vz.Nice]  step_ceil step v is the smallest v' such
that v <= v' and v' ∈ Q(step ).

step_floor [Vz.Nice]  step_floor step v is the greatest v' such
that v' <= v and v' ∈ Q(step ).

step_fold [Vz.Nice]  step_fold step f acc v0 v1 folds f over set of numbers
Q(step ) ∩ [v0 ;v1 ].

step_inset [Vz.Nice]  step_inset step v0 v1 shrinks the directed
interval [v0 ;v1 ] to (v0',v1') ∈ Q(step )^{2} where
v0' (resp.

step_outset [Vz.Nice]  step_outset step v0 v1 expands the directed
interval [v0 ;v1 ] to (v0',v1') ∈ Q(step )^{2} where
v0' (resp.

step_round [Vz.Nice]  step_round step v is either step_floor v or ceil_floor v
whichever is the nearest.

sum [Vz.Stat]  sum nan f is the sum of the values returned by f on the
data.

T  
t2 [Vz.Stat]  t2 s1 s2 is the combined statistics of s1 and s2 on the data.

t3 [Vz.Stat]  t3 s1 s2 s3 is the combined statistics of s1 , s2 and s3
on the data.

t4 [Vz.Stat]  t4 s1 s2 s3 s4 is the combined statistics of s1 , s2 , s3 and
s4 on the data.

t5 [Vz.Stat]  t5 s1 s2 s3 s4 s5 is the combined statistics of s1 , s2 , s3 , s4
and s5 on the data.

V  
value [Vz.Stat]  value s is the value of statistic s .

vtick [Vz.Mark]  vtick l is a vertical tick of length l .
