CL_graduate

Description

• Computes uniformly distributed graduation values.

  The steps are computed such that the corresponding values (vmin+k*(vmax-vmin)/nb1, k=0:nb1) are of the form: k*10^n (i: integer), with k in [1,2,3,5,6]. The substeps are then chosen accordingly. For instance, if k=1, possible values for nb2 are 1, 2, 5, 10, and so on. The number of substeps is limited to 12.

Parameters

xmin:

User data minimum value (1x1).

xmax:

User data maximum value (1x1).

ns1:

(integer, optional) Approximate number of steps wanted. Default is 7.

ns2:

(integer, optional) Approximate number of sub-steps wanted. Default is 5.

vmin:

Interval minimum value (vmin <= xmin).

vmax:

Interval maximum value (vmax >= xmax).

nb1:

(integer) Number of steps.

nb2:

(integer) Number of sub-steps.

Authors

• CNES - DCT/SB

See also

• CL_autoLevels

Examples

[vmin, vmax, nb1, nb2] = CL_graduate(0, 6) [vmin, vmax, nb1, nb2] = CL_graduate(1.14, 2.27, 5, 5)