/usr/share/doc/libplplot11/examples/f95/x16f.f90 is in libplplot-dev 5.9.9-2ubuntu2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 | ! $Id: x16f.f90 11680 2011-03-27 17:57:51Z airwin $
! plshades demo, using color fill
!
! Copyright (C) 2004 Alan W. Irwin
!
! This file is part of PLplot.
!
! PLplot is free software; you can redistribute it and/or modify
! it under the terms of the GNU Library General Public License as
! published by the Free Software Foundation; either version 2 of the
! License, or (at your option) any later version.
!
! PLplot is distributed in the hope that it will be useful,
! but WITHOUT ANY WARRANTY; without even the implied warranty of
! MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
! GNU Library General Public License for more details.
!
! You should have received a copy of the GNU Library General Public
! License along with PLplot; if not, write to the Free Software
! Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
use plplot, PI => PL_PI
implicit none
real(kind=plflt) xx, yy, argx, argy, distort, r, t
integer NLEVEL, NX, NY, PERIMETERPTS, xdim, ydim
parameter(NLEVEL = 20)
! xdim and ydim are the static dimensions of the 2D arrays while
! NX and NY are the defined area.
parameter(xdim=99, NX = 35)
parameter(ydim=100, NY = 46)
parameter(PERIMETERPTS = 100)
real(kind=plflt) clevel(NLEVEL), shedge(NLEVEL+1), &
z(xdim,ydim), w(xdim,ydim), xg1(xdim), yg1(ydim), &
xg2(xdim,ydim), yg2(xdim,ydim), zmin, zmax, &
px(PERIMETERPTS), py(PERIMETERPTS)
integer fill_width, cont_color, cont_width
integer i, j
! dummy to fill argument list with something not currently used.
character*1 defined
real(kind=plflt) tr(6)
! Process command-line arguments
call plparseopts(PL_PARSE_FULL)
! Load color palettes
call plspal0('cmap0_black_on_white.pal')
call plspal1('cmap1_gray.pal',1)
! Reduce colors in cmap 0 so that cmap 1 is useful on a 16-color display
call plscmap0n(3)
! Initialize plplot
call plinit()
! Set up transformation matrix
tr(1) = 2._plflt/(NX-1)
tr(2) = 0._plflt
tr(3) = -1._plflt
tr(4) = 0._plflt
tr(5) = 2._plflt/(NY-1)
tr(6) = -1._plflt
! Calculate the data matrices.
do i=1,NX
xx = dble(i-1-(NX/2))/dble (NX/2)
do j=1,NY
yy = dble(j-1-(NY/2))/dble (NY/2) - 1.0_plflt
z(i,j) = - sin(7._plflt*xx) * cos(7._plflt*yy) + xx*xx - yy*yy
w(i,j) = - cos(7._plflt*xx) * sin(7._plflt*yy) + 2._plflt*xx*yy
enddo
enddo
call a2mnmx(z, NX, NY, zmin, zmax, xdim)
do i = 1, NLEVEL
clevel(i) = zmin + (zmax - zmin) * (i - 0.5_plflt) / dble(NLEVEL)
enddo
do i = 1, NLEVEL+1
shedge(i) = zmin + (zmax - zmin) * dble(i-1) / dble(NLEVEL)
enddo
! Build the 1-d coord arrays.
distort = 0.4_plflt
do i=1,NX
xx = -1._plflt + dble(i-1)*2._plflt/dble(NX-1)
xg1(i) = xx + distort*cos(0.5_plflt*PI*xx)
enddo
do j=1,NY
yy = -1._plflt + dble(j-1)*2._plflt/dble(NY-1)
yg1(j) = yy - distort*cos(0.5_plflt*PI*yy)
enddo
! Build the 2-d coord arrays.
do i=1,NX
xx = -1._plflt + dble(i-1)*2._plflt/dble(NX-1)
argx = 0.5_plflt*PI*xx
do j=1,NY
yy = -1._plflt + dble(j-1)*2._plflt/dble(NY-1)
argy = 0.5_plflt*PI*yy
xg2(i,j) = xx + distort*cos(argx)*cos(argy)
yg2(i,j) = yy - distort*cos(argx)*cos(argy)
enddo
enddo
! Plot using transform of index range to xmin, xmax, ymin, ymax
call pladv(0)
call plvpor(0.1_plflt, 0.9_plflt, 0.1_plflt, 0.9_plflt)
call plwind(-1.0_plflt, 1.0_plflt, -1.0_plflt, 1.0_plflt)
call plpsty(0)
fill_width = 2
cont_color = 0
cont_width = 0
call plshades(z(:NX,:NY), defined, -1._plflt, 1._plflt, -1._plflt, &
1._plflt, &
shedge, fill_width, &
cont_color, cont_width )
call plcol0(1)
call plbox('bcnst', 0.0_plflt, 0, 'bcnstv', 0.0_plflt, 0)
call plcol0(2)
call pllab('distance', 'altitude', 'Bogon density')
! Plot using 1d coordinate transform
call plspal0('cmap0_black_on_white.pal')
call plspal1('cmap1_blue_yellow.pal',1)
call plscmap0n(3)
call pladv(0)
call plvpor(0.1_plflt, 0.9_plflt, 0.1_plflt, 0.9_plflt)
call plwind(-1.0_plflt, 1.0_plflt, -1.0_plflt, 1.0_plflt)
call plpsty(0)
fill_width = 2
cont_color = 0
cont_width = 0
call plshades(z(:NX,:NY), defined, -1._plflt, 1._plflt, -1._plflt, &
1._plflt, &
shedge, fill_width, &
cont_color, cont_width, xg1(:NX), yg1(:NY))
call plcol0(1)
call plbox('bcnst', 0.0_plflt, 0, 'bcnstv', 0.0_plflt, 0)
call plcol0(2)
call pllab('distance', 'altitude', 'Bogon density')
! Plot using 2d coordinate transform
call plspal0('cmap0_black_on_white.pal')
call plspal1('cmap1_blue_red.pal',1)
call plscmap0n(3)
call pladv(0)
call plvpor(0.1_plflt, 0.9_plflt, 0.1_plflt, 0.9_plflt)
call plwind(-1.0_plflt, 1.0_plflt, -1.0_plflt, 1.0_plflt)
call plpsty(0)
fill_width = 2
cont_color = 0
cont_width = 0
call plshades(z(:NX,:NY), defined, -1._plflt, 1._plflt, -1._plflt, &
1._plflt, &
shedge, fill_width, &
cont_color, cont_width, xg2(:NX,:NY), yg2(:NX,:NY) )
call plcol0(1)
call plbox('bcnst', 0.0_plflt, 0, 'bcnstv', 0.0_plflt, 0)
call plcol0(2)
call plcont(w, 1, nx, 1, ny, clevel, xg2, yg2)
call pllab('distance', 'altitude', &
'Bogon density, with streamlines')
! Plot using 2d coordinate transform and plshades contours.
call plspal0('')
call plspal1('',1)
call plscmap0n(3)
call pladv(0)
call plvpor(0.1_plflt, 0.9_plflt, 0.1_plflt, 0.9_plflt)
call plwind(-1.0_plflt, 1.0_plflt, -1.0_plflt, 1.0_plflt)
call plpsty(0)
fill_width = 2
cont_color = 2
cont_width = 3
call plshades(z(:NX,:NY), defined, -1._plflt, 1._plflt, -1._plflt, &
1._plflt, &
shedge, fill_width, &
cont_color, cont_width, xg2(:NX,:NY), yg2(:NX,:NY) )
call plcol0(1)
call plbox('bcnst', 0.0_plflt, 0, 'bcnstv', 0.0_plflt, 0)
call plcol0(2)
call pllab('distance', 'altitude', 'Bogon density')
! Example with polar coordinates.
call plspal0('cmap0_black_on_white.pal')
call plspal1('cmap1_gray.pal',1)
call plscmap0n(3)
call pladv(0)
call plvpor(0.1d0, 0.9d0, 0.1d0, 0.9d0)
call plwind(-1.d0, 1.d0, -1.d0, 1.d0)
call plpsty(0)
! Build new coordinate matrices.
do i = 1, NX
r = dble(i-1)/dble(NX-1)
do j = 1, NY
t = (2._plflt*PI/dble(NY-1))*dble(j-1)
xg2(i,j) = r*cos(t)
yg2(i,j) = r*sin(t)
z(i,j) = exp(-r*r)*cos(5._plflt*PI*r)*cos(5._plflt*t)
enddo
enddo
! Need a new shedge to go along with the new data set.
call a2mnmx(z, NX, NY, zmin, zmax, xdim)
do i = 1, NLEVEL+1
shedge(i) = zmin + (zmax - zmin) * dble(i-1) / dble(NLEVEL)
enddo
! Now we can shade the interior region.
fill_width = 2
cont_color = 0
cont_width = 0
call plshades(z(:NX,:NY), defined, -1._plflt, 1._plflt, -1._plflt, &
1._plflt, &
shedge, fill_width, &
cont_color, cont_width, xg2(:NX,:NY), yg2(:NX,:NY) )
! Now we can draw the perimeter. (If do before, shade stuff may overlap.)
do i = 1, PERIMETERPTS
t = (2._plflt*PI/dble(PERIMETERPTS-1))*dble(i-1)
px(i) = cos(t)
py(i) = sin(t)
enddo
call plcol0(1)
call plline(px, py)
! And label the plot.
call plcol0(2)
call pllab( '', '', 'Tokamak Bogon Instability' )
call plend
end
!----------------------------------------------------------------------------
! Subroutine a2mnmx
! Minimum and the maximum elements of a 2-d array.
subroutine a2mnmx(f, nx, ny, fmin, fmax, xdim)
use plplot
implicit none
integer i, j, nx, ny, xdim
real(kind=plflt) f(xdim, ny), fmin, fmax
fmax = f(1, 1)
fmin = fmax
do j = 1, ny
do i = 1, nx
fmax = max(fmax, f(i, j))
fmin = min(fmin, f(i, j))
enddo
enddo
end
|