table_attach_columns
Attaches [appends] additional columns to a previously existing two-dimensional array.
Prototype
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" ; This library is automatically loaded ; from NCL V6.2.0 onward. ; No need for user to explicitly load. function table_attach_columns ( t1 : [*][*], t2 : [*][*], opt [1] : integer ) return_val [*][*]
Arguments
t1A two-dimensional array of any type.
t2A two-dimensional array of the same type as t1. The left dimension size [rows] must be identical to that of t1.
optAn integer. Set to 0. Currently, not used.
Return value
A two-dimensional array. The left dimension will be the same as on input. The right dimension will have additional columns appended to the t1 table.
Description
This function uses dimension reordering. This requires that the variables have named dimensions. It is not required that the dimensions of t1 and t2 be named upon entry. If not present, the function will provide temporary named dimensions.
See the Example for more information.
See Also
table_attach_rows, array_append_record
Examples
Example 1
Consider the two-dimensional arrays y1 and y2. It is desired to append y2 to the y1 array and return a new array.
; y1 is 5X3 y1 = (/(/-3.04, -2.05, -4.29/),\ (/-2.07, -3.66, -1.46/),\ (/-2.49, -3.11, -3.83/),\ (/-4.44, -3.24, -3.08/),\ (/-2.14, -4.68, -2.01/)/) ; y2 is 5X5 y2 = (/(/153.50, 167.58, 115.26, 143.38, 154.57/),\ (/190.60, 138.17, 113.66, 172.26, 150.34/),\ (/150.35, 189.73, 146.19, 159.03, 188.25/),\ (/148.74, 176.38, 100.36, 155.45, 196.51/),\ (/188.72, 122.79, 176.24, 117.69, 174.37/)/) y1!0 = "row" ; explicitly name dimensions y1!1 = "col" y2!0 = "row" y2!1 = "col" ; b is 5X8 b = table_attach_columns(y1, y2, 0) ncol = 3 + 5 write_matrix( b, ncol+"f8.2", False)will yield [b]
-3.04 -2.05 -4.29 153.50 167.58 115.26 143.38 154.57 -2.07 -3.66 -1.46 190.60 138.17 113.66 172.26 150.34 -2.49 -3.11 -3.83 150.35 189.73 146.19 159.03 188.25 -4.44 -3.24 -3.08 148.74 176.38 100.36 155.45 196.51 -2.14 -4.68 -2.01 188.72 122.79 176.24 117.69 174.37