array.py 9.4 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355
  1. """!@package grass.script.array
  2. @brief GRASS Python scripting module (2D and 3D raster with numpy)
  3. Functions to use GRASS 2D and 3D rasters with NumPy.
  4. Usage:
  5. @code
  6. >>> import grass.script as grass
  7. >>> from grass.script import array as garray
  8. >>>
  9. >>> # We create a temporary region that is only valid in this python session
  10. ... grass.use_temp_region()
  11. >>> grass.run_command("g.region", n=80, e=120, t=60, s=0, w=0, b=0, res=20, res3=20)
  12. 0
  13. >>>
  14. >>> # Lets create a raster map numpy array
  15. ... # based at the current region settings
  16. ... map2d_1 = garray.array()
  17. >>>
  18. >>> # Write some data
  19. ... for y in range(map2d_1.shape[0]):
  20. ... for x in range(map2d_1.shape[1]):
  21. ... map2d_1[y][x] = y + x
  22. ...
  23. >>> # Lets have a look at the array
  24. ... print map2d_1
  25. [[ 0. 1. 2. 3. 4. 5.]
  26. [ 1. 2. 3. 4. 5. 6.]
  27. [ 2. 3. 4. 5. 6. 7.]
  28. [ 3. 4. 5. 6. 7. 8.]]
  29. >>> # This will write the numpy array as GRASS raster map
  30. ... # with name map2d_1
  31. ... map2d_1.write(mapname="map2d_1", overwrite=True)
  32. 100%
  33. 0
  34. >>>
  35. >>> # We create a new array and read map2d_1 to modify it
  36. ... map2d_2 = garray.array()
  37. >>> # Don't do map2d_2 = map2d_1 % 3
  38. ... # because: this will overwrite the internal temporary filename
  39. ... map2d_2.read("map2d_1")
  40. 0
  41. >>> map2d_2 %= 3
  42. >>> # Show the result
  43. ... print map2d_2
  44. [[ 0. 1. 2. 0. 1. 2.]
  45. [ 1. 2. 0. 1. 2. 0.]
  46. [ 2. 0. 1. 2. 0. 1.]
  47. [ 0. 1. 2. 0. 1. 2.]]
  48. >>> # Write the result as new raster map with name map2d_2
  49. ... map2d_2.write(mapname="map2d_2", overwrite=True)
  50. 100%
  51. 0
  52. >>>
  53. >>> # Here we create a 3D raster map numpy array
  54. ... # based in the current region settings
  55. ... map3d_1 = garray.array3d()
  56. >>>
  57. >>> # Write some data
  58. ... # Note: the 3D array has map[depth][row][column] order
  59. ... for z in range(map3d_1.shape[0]):
  60. ... for y in range(map3d_1.shape[1]):
  61. ... for x in range(map3d_1.shape[2]):
  62. ... map3d_1[z][y][x] = z + y + x
  63. ...
  64. >>> # Lets have a look at the 3D array
  65. ... print map3d_1
  66. [[[ 0. 1. 2. 3. 4. 5.]
  67. [ 1. 2. 3. 4. 5. 6.]
  68. [ 2. 3. 4. 5. 6. 7.]
  69. [ 3. 4. 5. 6. 7. 8.]]
  70. [[ 1. 2. 3. 4. 5. 6.]
  71. [ 2. 3. 4. 5. 6. 7.]
  72. [ 3. 4. 5. 6. 7. 8.]
  73. [ 4. 5. 6. 7. 8. 9.]]
  74. [[ 2. 3. 4. 5. 6. 7.]
  75. [ 3. 4. 5. 6. 7. 8.]
  76. [ 4. 5. 6. 7. 8. 9.]
  77. [ 5. 6. 7. 8. 9. 10.]]]
  78. >>> # This will write the numpy array as GRASS 3D raster map
  79. ... # with name map3d_1
  80. ... map3d_1.write(mapname="map3d_1", overwrite=True)
  81. Loading floating point data with 8 bytes ... (6x4x3)
  82. 100%
  83. 0
  84. >>> # We create a new 3D array and read map3d_1 to modify it
  85. ... map3d_2 = garray.array3d()
  86. >>> # Don't do map3d_2 = map3d_1 % 3
  87. ... # because: this will overwrite the internal temporary filename
  88. ... map3d_2.read("map3d_1")
  89. 0
  90. >>> map3d_2 %= 3
  91. >>> # Show the result
  92. ... print map3d_2
  93. [[[ 0. 1. 2. 0. 1. 2.]
  94. [ 1. 2. 0. 1. 2. 0.]
  95. [ 2. 0. 1. 2. 0. 1.]
  96. [ 0. 1. 2. 0. 1. 2.]]
  97. [[ 1. 2. 0. 1. 2. 0.]
  98. [ 2. 0. 1. 2. 0. 1.]
  99. [ 0. 1. 2. 0. 1. 2.]
  100. [ 1. 2. 0. 1. 2. 0.]]
  101. [[ 2. 0. 1. 2. 0. 1.]
  102. [ 0. 1. 2. 0. 1. 2.]
  103. [ 1. 2. 0. 1. 2. 0.]
  104. [ 2. 0. 1. 2. 0. 1.]]]
  105. >>> # Write the result as new 3D raster map with name map3d_2
  106. ... map3d_2.write(mapname="map3d_2", overwrite=True)
  107. Loading floating point data with 8 bytes ... (6x4x3)
  108. 100%
  109. 0
  110. @endcode
  111. (C) 2010-2012 by Glynn Clements and the GRASS Development Team
  112. This program is free software under the GNU General Public
  113. License (>=v2). Read the file COPYING that comes with GRASS
  114. for details.
  115. @author Glynn Clements
  116. """
  117. import os
  118. import numpy
  119. import core as grass
  120. ###############################################################################
  121. class array(numpy.memmap):
  122. def __new__(cls, dtype=numpy.double):
  123. """!Define new numpy array
  124. @param cls
  125. @param dtype data type (default: numpy.double)
  126. """
  127. reg = grass.region()
  128. r = reg['rows']
  129. c = reg['cols']
  130. shape = (r, c)
  131. filename = grass.tempfile()
  132. self = numpy.memmap.__new__(
  133. cls,
  134. filename=filename,
  135. dtype=dtype,
  136. mode='w+',
  137. shape=shape)
  138. self.filename = filename
  139. return self
  140. def _close(self):
  141. numpy.memmap._close(self)
  142. if isinstance(self, array):
  143. grass.try_remove(self.filename)
  144. def read(self, mapname, null=None):
  145. """!Read raster map into array
  146. @param mapname name of raster map to be read
  147. @param null null value
  148. @return 0 on success
  149. @return non-zero code on failure
  150. """
  151. kind = self.dtype.kind
  152. size = self.dtype.itemsize
  153. if kind == 'f':
  154. flags = 'f'
  155. elif kind in 'biu':
  156. flags = 'i'
  157. else:
  158. raise ValueError(_('Invalid kind <%s>') % kind)
  159. if size not in [1, 2, 4, 8]:
  160. raise ValueError(_('Invalid size <%d>') % size)
  161. return grass.run_command(
  162. 'r.out.bin',
  163. flags=flags,
  164. input=mapname,
  165. output=self.filename,
  166. bytes=size,
  167. null=null,
  168. quiet=True,
  169. overwrite=True)
  170. def write(self, mapname, title=None, null=None, overwrite=None):
  171. """!Write array into raster map
  172. @param mapname name for raster map
  173. @param title title for raster map
  174. @param null null value
  175. @param overwrite True for overwritting existing raster maps
  176. @return 0 on success
  177. @return non-zero code on failure
  178. """
  179. kind = self.dtype.kind
  180. size = self.dtype.itemsize
  181. if kind == 'f':
  182. if size == 4:
  183. flags = 'f'
  184. elif size == 8:
  185. flags = 'd'
  186. else:
  187. raise ValueError(_('Invalid FP size <%d>') % size)
  188. size = None
  189. elif kind in 'biu':
  190. if size not in [1, 2, 4]:
  191. raise ValueError(_('Invalid integer size <%d>') % size)
  192. flags = None
  193. else:
  194. raise ValueError(_('Invalid kind <%s>') % kind)
  195. reg = grass.region()
  196. return grass.run_command(
  197. 'r.in.bin',
  198. flags=flags,
  199. input=self.filename,
  200. output=mapname,
  201. title=title,
  202. bytes=size,
  203. anull=null,
  204. overwrite=overwrite,
  205. north=reg['n'],
  206. south=reg['s'],
  207. east=reg['e'],
  208. west=reg['w'],
  209. rows=reg['rows'],
  210. cols=reg['cols'])
  211. ###############################################################################
  212. class array3d(numpy.memmap):
  213. def __new__(cls, dtype=numpy.double):
  214. """!Define new 3d numpy array
  215. @param cls
  216. @param dtype data type (default: numpy.double)
  217. """
  218. reg = grass.region(True)
  219. r = reg['rows3']
  220. c = reg['cols3']
  221. d = reg['depths']
  222. shape = (d, r, c)
  223. filename = grass.tempfile()
  224. self = numpy.memmap.__new__(
  225. cls,
  226. filename=filename,
  227. dtype=dtype,
  228. mode='w+',
  229. shape=shape)
  230. self.filename = filename
  231. return self
  232. def _close(self):
  233. numpy.memmap._close(self)
  234. if isinstance(self, array):
  235. grass.try_remove(self.filename)
  236. def read(self, mapname, null=None):
  237. """!Read 3D raster map into array
  238. @param mapname name of 3D raster map to be read
  239. @param null null value
  240. @return 0 on success
  241. @return non-zero code on failure
  242. """
  243. kind = self.dtype.kind
  244. size = self.dtype.itemsize
  245. if kind == 'f':
  246. flags = None # default is double
  247. elif kind in 'biu':
  248. flags = 'i'
  249. else:
  250. raise ValueError(_('Invalid kind <%s>') % kind)
  251. if size not in [1, 2, 4, 8]:
  252. raise ValueError(_('Invalid size <%d>') % size)
  253. return grass.run_command(
  254. 'r3.out.bin',
  255. flags=flags,
  256. input=mapname,
  257. output=self.filename,
  258. bytes=size,
  259. null=null,
  260. quiet=True,
  261. overwrite=True)
  262. def write(self, mapname, null=None, overwrite=None):
  263. """!Write array into 3D raster map
  264. @param mapname name for 3D raster map
  265. @param null null value
  266. @param overwrite True for overwriting existing raster maps
  267. @return 0 on success
  268. @return non-zero code on failure
  269. """
  270. kind = self.dtype.kind
  271. size = self.dtype.itemsize
  272. flags = None
  273. if kind == 'f':
  274. if size != 4 and size != 8:
  275. raise ValueError(_('Invalid FP size <%d>') % size)
  276. elif kind in 'biu':
  277. if size not in [1, 2, 4, 8]:
  278. raise ValueError(_('Invalid integer size <%d>') % size)
  279. flags = 'i'
  280. else:
  281. raise ValueError(_('Invalid kind <%s>') % kind)
  282. reg = grass.region(True)
  283. return grass.run_command(
  284. 'r3.in.bin',
  285. flags=flags,
  286. input=self.filename,
  287. output=mapname,
  288. bytes=size,
  289. null=null,
  290. overwrite=overwrite,
  291. north=reg['n'],
  292. south=reg['s'],
  293. top=reg['t'],
  294. bottom=reg['b'],
  295. east=reg['e'],
  296. west=reg['w'],
  297. depths=reg['depths'],
  298. rows=reg['rows3'],
  299. cols=reg['cols3'])