R j SSKJrJrJrJr SSKJr SSKJr SSK J r SSK J r SSKJr SSKJrJrJrJr "S S \ 5r"S S \5rg ))byrefc_doublec_intc_void_p) GDALException)raster)GDALRasterBase)numpy) force_str)GDAL_COLOR_TYPESGDAL_INTEGER_TYPESGDAL_PIXEL_TYPESGDAL_TO_CTYPESc\rSrSrSrSrSr\S5r\S5r \S5r \S5r S r SS jr \S 5r\S 5r\S 5r\S5r\S5r\R&S5rSSjrSSjrSSjrSrg)GDALBandzI Wrap a GDAL raster band, needs to be obtained from a GDALRaster object. c\Xl[R"URU5UlgN)sourcecapiget_ds_raster_band_ptr)selfrindexs OD:\diplom_project\venv\Lib\site-packages\django/contrib/gis/gdal/raster/band.py__init__GDALBand.__init__s ++FKK? cFURR5 SUlg)z Call the flush method on the Band's parent raster and force a refresh of the statistics attribute when requested the next time. TN)r_flush_stats_refreshrs rr!GDALBand._flushs "rcT[[R"UR55$)z, Return the description string of the band. )r rget_band_descriptionrr#s r descriptionGDALBand.description"s 22499=>>rcB[R"UR5$)z' Width (X axis) in pixels of the band. )rget_band_xsizerr#s rwidthGDALBand.width) ""499--rcB[R"UR5$)z( Height (Y axis) in pixels of the band. )rget_band_ysizerr#s rheightGDALBand.height0r-rc4URUR-$)z1 Return the total number of pixels in this band. )r+r0r#s r pixel_countGDALBand.pixel_count7s zzDKK''rFc @[5[5[5[54up4pVUR[U5[U5[U5[U5[U5[ 5[ 5/nU(dUR (a[ RnO-Sn URS[U 55 [ RnU"U6 URURURUR4n SUlU $![a Sn Nf=f)a\ Compute statistics on the pixel values of this band. The return value is a tuple with the following structure: (minimum, maximum, mean, standard deviation). If approximate=True, the statistics may be computed based on overviews or a subset of image tiles. If refresh=True, the statistics will be computed from the data directly, and the cache will be updated where applicable. For empty bands (where all pixel values are nodata), all statistics values are returned as None. For raster formats using Persistent Auxiliary Metadata (PAM) services, the statistics might be cached in an auxiliary file. T)NNNNF) rrrrrr"rcompute_band_statisticsinsertget_band_statisticsvaluer) rrefresh approximatesminsmaxsmeansstd stats_argsfuncforceresults r statisticsGDALBand.statistics@s(#+*hj(*hj"PE II +  $K $K %L $K J J   d))//DE   au .++D . * ZZU[[$**DF$  .-F .s3D DDc(UR5S$)z/ Return the minimum pixel value for this band. rrEr#s rmin GDALBand.mint  ##rc(UR5S$)z/ Return the maximum pixel value for this band. r rHr#s rmax GDALBand.max{rKrc(UR5S$)z3 Return the mean of all pixel values of this band. r6rHr#s rmean GDALBand.meanrKrc(UR5S$)zA Return the standard deviation of all pixel values of this band. rHr#s rstd GDALBand.stdrKrc[5n[R"URU5nU(dSnU$UR 5[ ;a [ U5nU$)zA Return the nodata value for this band, or None if it isn't set. N)rrget_band_nodata_valuerdatatyperint)r nodata_existsr:s r nodata_valueGDALBand.nodata_valuesO  **499mDE ]]_ 2 2JE rcUc![R"UR5 OG[U[[ 45(d [ S5e[R"URU5 UR5 g)z% Set the nodata value for this band. Nz%Nodata value must be numeric or None.) rdelete_band_nodata_valuer isinstancerYfloat ValueErrorset_band_nodata_valuer!)rr:s rr[r\sU =  ) )$)) 4EC<00DE E  & &tyy% 8 rcf[R"UR5nU(a [UnU$)z/ Return the GDAL Pixel Datatype for this band. )rget_band_datatyperr)r as_stringdtypes rrXGDALBand.datatypes*&&tyy1 $U+E rcf[R"UR5nU(a [UnU$)z3Return the GDAL color interpretation for this band.)rget_band_color_interprr )rrecolors r color_interpGDALBand.color_interps(**4995 $U+E rNcU=(d SnU=(d$ URUS- URUS- 4nU=(d Un[SU55(a [S5eUSUR:dUSUR:a [S5e[UR 5USUS--nUc SnU"5nO^Sn[ U[[45(d*[(a1[ U[R5(aURU5nOU"U6n[R"URUUSUSUSUS[U5USUSUR 5SS5 UcrU(a [U5$[(aJ[R "U[R""U5S9R%['[)U555$[+U5$UR-5 g) a5 Read or writes pixel values for this band. Blocks of data can be accessed by specifying the width, height and offset of the desired block. The same specification can be used to update parts of a raster by providing an array of values. Allowed input data types are bytes, memoryview, list, tuple, and array. )rrrr c3*# UH oS:*v M g7f)rN).0xs r GDALBand.data..s$t!AvtszOffset too big for this raster.zSize is larger than raster.N)rf)r+r0anyrarrXr_bytes memoryviewr ndarrayfrom_buffer_copyrband_iorr frombufferrfreshapetuplereversedlistr!) rdataoffsetsizeshape as_memoryview ctypes_array access_flag data_arrays rr GDALBand.datas!6H VAY. fQi0GH  $t$ $ $>? ? 7TZZ 47T[[#8:; ;&dmmo6%(U1X:MN <K%JK$ 344*T5==99)::4@ )40  II  1I 1I G G *  !H !H MMO  <!*--''ekk*&='%/01J'' KKMr)rr"r)FF)F)NNNNF)__name__ __module__ __qualname____firstlineno____doc__rr!propertyr'r+r0r3r"rErIrMrPrTr[setterrXrkr__static_attributes__rorrrrs@#?? .. .. (( N2h$$ $$ $$ $$     Brrc:^\rSrSrU4SjrSrSrSrSrU=r $)BandListic.>Xl[TU] 5 gr)rsuperr)rr __class__s rrBandList.__init__s  rc#z# [S[U5S-5Hn[URU5v M g7f)Nr )rangelenrr)ridxs r__iter__BandList.__iter__s/CIM*C4;;, ,+s9;cV[R"URR5$r)rget_ds_raster_countrrr#s r__len__BandList.__len__ s'' (8(899rcn[URUS-5$![a [SU-5ef=f)Nr zUnable to get band index %d)rrr)rrs r __getitem__BandList.__getitem__ s? GDKK3 3 G = EF F Gs4)r) rrrrrrrrr __classcell__)rs@rrrs-:GGrrN)ctypesrrrrdjango.contrib.gis.gdal.errorr"django.contrib.gis.gdal.prototypesrr#django.contrib.gis.gdal.raster.baser django.contrib.gis.shortcutsr django.utils.encodingr constr rrrrr~rrorrrsA337=>.+m~m`GtGr