PatchZonalStatsNormalize.py File Reference

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

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

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