PatchZonalStats.py File Reference

Namespaces
	PatchZonalStats
	Tool for calculating zonal statistics for patch-scale RHESSys output variables.

Functions
def	PatchZonalStats.line_legend
	Use proxy objects to force lines in legend display. More...
def	PatchZonalStats.simple_axis
def	PatchZonalStats.plot_cdf

Variables
list	PatchZonalStats.LINE_TYPES = ['solid', 'dashed', 'dashdot', 'dotted']
tuple	PatchZonalStats.NUM_LINE_TYPES = len(LINE_TYPES)
int	PatchZonalStats.INT_RESCALE = 100
tuple	PatchZonalStats.VARIABLE_EXPR_RE = re.compile(r'\b([a-zA-z][a-zA-Z0-9_\.]+)\b')
tuple	PatchZonalStats.RANDOM = random.randint(100000, 999999)
string	PatchZonalStats.RECLASS_MAP_TMP = "patchzonalstats_cover_{0}"
string	PatchZonalStats.STATS_MAP_TMP = "patchzonalstats_output_{0}"
list	PatchZonalStats.methods
tuple	PatchZonalStats.parser = argparse.ArgumentParser(description='Generate cummulative map of patch-scale RHESSys output variables')
string	PatchZonalStats.help = 'The configuration file.'
list	PatchZonalStats.choices = ['ultralight','light','normal','regular','book','medium','roman','semibold','demibold','demi','bold','heavy','extra bold','black']
string	PatchZonalStats.default = 'regular'
tuple	PatchZonalStats.args = parser.parse_args()
	PatchZonalStats.configFile = None
tuple	PatchZonalStats.context = Context(args.projectDir, configFile)
	PatchZonalStats.linestyles = None
	PatchZonalStats.outputFileNames = args.legend
tuple	PatchZonalStats.metadata = RHESSysMetadata.readRHESSysEntries(context)
list	PatchZonalStats.patchFilepaths = []
tuple	PatchZonalStats.outputDir = os.path.abspath(args.outputDir)
string	PatchZonalStats.outputFile = "{0}.pdf"
tuple	PatchZonalStats.outputFilePath = os.path.join(outputDir, outputFile)
	PatchZonalStats.variableLabels = args.variableName
list	PatchZonalStats.variables = ['patchID']
tuple	PatchZonalStats.m = VARIABLE_EXPR_RE.findall(args.outputVariable)
tuple	PatchZonalStats.tmpDir = tempfile.mkdtemp()
tuple	PatchZonalStats.reclassRule = os.path.join(tmpDir, 'reclass.rule')
tuple	PatchZonalStats.grassDbase = os.path.join(context.projectDir, metadata['grass_dbase'])
tuple	PatchZonalStats.grassConfig = GRASSConfig(context, grassDbase, metadata['grass_location'], metadata['grass_mapset'])
tuple	PatchZonalStats.grassLib = GRASSLib(grassConfig=grassConfig)
tuple	PatchZonalStats.result
list	PatchZonalStats.variablesList = []
tuple	PatchZonalStats.data = np.genfromtxt(patchFilepath, names=True)
list	PatchZonalStats.patchIDs = [ int(p) for p in data['patchID'] ]
tuple	PatchZonalStats.expr = VARIABLE_EXPR_RE.sub(r'data["\1"]', args.outputVariable)
tuple	PatchZonalStats.var = eval(expr)
	PatchZonalStats.zones = args.zones
tuple	PatchZonalStats.maps_to_delete = set()
string	PatchZonalStats.reclass_map = "{0}_{1}"
	PatchZonalStats.variable_scaled = variable*INT_RESCALE
tuple	PatchZonalStats.variable_int = variable_scaled.astype(int)
tuple	PatchZonalStats.reclass = open(reclassRule, 'w')
string	PatchZonalStats.permrast = "{0}_{1}_{2}"
string	PatchZonalStats.rMapcalcExpr = '$permrast=@$tmprast/float($scale)'
	PatchZonalStats.scale = True)
tuple	PatchZonalStats.pipe = grassLib.script.pipe_command('r.stats', flags='ln', input=STATS_MAP_TMP)
list	PatchZonalStats.stats_scaled = []
tuple	PatchZonalStats.stats = np.array(stats_scaled)
list	PatchZonalStats.tmp_data = data[zone]
int	PatchZonalStats.min_x = 0
tuple	PatchZonalStats.max_x = max(np.max(datum), max_x)
int	PatchZonalStats.fig_width = 4
tuple	PatchZonalStats.fig = plt.figure(figsize=(fig_width, 3), dpi=80, tight_layout=True)
tuple	PatchZonalStats.num_zones = len(zones)
list	PatchZonalStats.var_label = variableLabels[i]
int	PatchZonalStats.fig_num = i+1
tuple	PatchZonalStats.ax = fig.add_subplot(1, num_zones, fig_num)
	PatchZonalStats.linetype = linestyles,
	PatchZonalStats.linewidth = args.linewidth,
	PatchZonalStats.legend_fontsize = args.legendfontsize,
	PatchZonalStats.fontweight = args.fontweight,
	PatchZonalStats.axes_fontsize = args.axesfontsize,
	PatchZonalStats.ticklabel_fontsize = args.ticklabelfontsize,
tuple	PatchZonalStats.range = (min_x, max_x)