"""image - Plot raster or EPS images."""frompygmt.clibimportSessionfrompygmt.helpersimportbuild_arg_list,fmt_docstring,kwargs_to_strings,use_alias@fmt_docstring@use_alias(D="position",F="box",G="bitcolor",J="projection",M="monochrome",R="region",V="verbose",c="panel",p="perspective",t="transparency",)@kwargs_to_strings(R="sequence",c="sequence_comma",p="sequence")defimage(self,imagefile,**kwargs):r""" Plot raster or EPS images. Reads an Encapsulated PostScript file or a raster image file and plots it on a map. Full option list at :gmt-docs:`image.html` {aliases} Parameters ---------- imagefile : str This must be an Encapsulated PostScript (EPS) file or a raster image. An EPS file must contain an appropriate BoundingBox. A raster file can have a depth of 1, 8, 24, or 32 bits and is read via GDAL. **Note**: If GDAL was not configured during GMT installation then only EPS files are supported. {projection} {region} position : str [**g**\|\ **j**\|\ **J**\|\ **n**\|\ **x**]\ *refpoint*\ **+r**\ *dpi*\ **+w**\ [**-**]\ *width*\ [/*height*]\ [**+j**\ *justify*]\ [**+n**\ *nx*\ [/*ny*]]\ [**+o**\ *dx*\ [/*dy*]]. Set reference point on the map for the image. box : bool or str [**+c**\ *clearances*][**+g**\ *fill*][**+i**\ [[*gap*/]\ *pen*]]\ [**+p**\ [*pen*]][**+r**\ [*radius*]][**+s**\ [[*dx*/*dy*/][*shade*]]]. If set to ``True``, draw a rectangular border around the image using :gmt-term:`MAP_FRAME_PEN`. bitcolor : str or list [*color*][**+b**\|\ **f**\|\ **t**]. Change certain pixel values to another color or make them transparent. For 1-bit images you can specify an alternate *color* for the background (**+b**) or the foreground (**+f**) pixels, or give no color to make those pixels transparent. Can be repeated with different settings. Alternatively, for color images you can select a single *color* that should be made transparent instead (**+t**). monochrome : bool Convert color image to monochrome grayshades using the (television) YIQ-transformation. {verbose} {panel} {perspective} {transparency} """kwargs=self._preprocess(**kwargs)withSession()aslib:lib.call_module(module="image",args=build_arg_list(kwargs,infile=imagefile))