def drawGDDMap(self, date, verbose=False):
min_gdd = fromConfig('crops.grape.maps.min_gdd_to_post')
min_percent = fromConfig('crops.grape.maps.min_percent_nodes')
lats = self.lats
lons = self.lons
# get initiaized map options from config file
map_options = self.initMapOptions(date,
'variety', 'gdd', 'gdd')
# get GDD accumulations for the date and draw the map
gdd_grid = self.getGdd(model.name, date)
gdd_grid[N.where(gdd_grid < 0.99)] = N.nan
finite = N.where(N.isfinite(gdd_grid))
num_finite = len(finite[0])
if num_finite > 0:
num_ge_min = float(len(N.where(gdd_grid[finite] >= min_gdd)[0]))
draw_contours = (num_ge_min / num_finite) > min_percent
else: draw_contours = False
if draw_contours:
map_options['finish'] = False
options, _map_, fig, axes, fig1, xy_extremes = \
drawFilledContours(gdd_grid, lats, lons, **map_options)
addModelText(fig, **map_options)
finishMap(fig, axes, fig1, **options)
return options['outputfile']
else:
config = fromConfig('crops.grape.maps.no_data.gdd.attrs')
return drawNoDataMap(lons, lats, config=config, model=model,
**map_options)
def drawStageContourMap(self,
date,
model,
lo_gdd_th,
hi_gdd_th,
verbose=False):
lats = self.lats
lons = self.lons
# get initiaized map options from config file
map_options = self.initMapOptions(date, model, lo_gdd_th, lo_gdd_th,
'variety', 'stage', 'stage')
# get stage index for date and draw the map
stage_grid = self.getStage(model.name, lo_gdd_th, hi_gdd_th, date)
isfinite = N.where(N.isfinite(stage_grid))
if len(N.where(stage_grid[isfinite] > 0)[0]) > 0:
map_options['finish'] = False
options, _map_, fig, axes, fig1, xy_extremes = \
drawFilledContours(stage_grid, lats, lons, **map_options)
addModelText(fig, model, **map_options)
finishMap(fig, axes, fig1, **options)
return options['outputfile']
else:
config = fromConfig('crops.apple.variety.maps.no_data.stage.attrs')
return drawNoDataMap(lons,
lats,
config=config,
model=model,
**map_options)
def drawNoDataMap(self, map_key, **options):
from frost.visual.maps import mapSetup
no_data = fromConfig('crops.grape.maps.no_data.%s.attrs' % map_key)
options.update(no_data)
map_options, _basemap_, map_fig, axes, xy_extremes = \
mapSetup(options, self.lats, self.lons)
if 'contourbounds' in options:
from frost.visual import resolveColorMapOptions
x_min = xy_extremes[0]
x = N.array( [ [x_min, x_min+1.0], [x_min, x_min+1.0 ] ] )
y_min = xy_extremes[2]
y = N.array( [ [y_min, y_min], [y_min+1.0, y_min+1.0 ] ] )
zero = N.array( [ [0.0, 0.0], [0.0, 0.0] ] )
cmap_options = resolveColorMapOptions(**map_options)
fig1 = _basemap_.contourf(x, y, zero, options['contourbounds'],
**cmap_options)
finishMap(map_fig, axes, fig1, **map_options)
else: finishMap(map_fig, axes, map_fig, **map_options)
return map_options['outputfile']
def drawNoDataMap(lons, lats, **options):
model = options['model']
del options['model']
map_options = resolveMapOptions(**options)
no_data_config = options.get('config', None)
if no_data_config is not None: map_options.update(no_data_config)
_basemap_, map_fig, axes, xy_extremes = mapInit(lats, lons, **map_options)
if 'contourbounds' in map_options:
x_min = xy_extremes[0]
x = N.array([[x_min, x_min + 1.0], [x_min, x_min + 1.0]])
y_min = xy_extremes[2]
y = N.array([[y_min, y_min], [y_min + 1.0, y_min + 1.0]])
zero = N.array([[0.0, 0.0], [0.0, 0.0]])
cmap_options = resolveColorMapOptions(**map_options)
fig1 = _basemap_.contourf(x, y, zero, options['contourbounds'],
**cmap_options)
else:
fig1 = map_fig
addModelText(map_fig, model, **map_options)
finishMap(map_fig, axes, fig1, **map_options)
return map_options['outputfile']
def drawKillMap(self, date, mint, verbose=False):
if self.temp_reader is None:
from frost.functions import tempGridReader
self.temp_reader = tempGridReader(date)
lats = self.lats
lons = self.lons
# get initiaized map options from config file
map_options = self.initMapOptions(date, 'kill', 'potential')
map_options['title'] = self.mapTitle(date, 'kill')
# extract options required for plotting markers
marker_colors = map_options['markercolors']
# get hardines temp and min temp for the date
hardiness = self.getHardiness(date, units='F')
mint = self.temp_reader.getTemp('reported.mint', date, units='F')
# we need number of degrees mint is below hardiness temp.
# In order to guarantee that we don't have one negative value
# and one positive value, we need to adjust the grids so that
# all values in each of them are above zero
# using 1000. might be overkill, but it is guaranteed safe
hardiness += 1000.
mint += 1000.
diff = hardiness - mint
indexes = N.where(diff >= 0)
# there is potential kill at one or more grid nodes
if len(indexes[0]) > 0:
options, _map_, map_fig, axes, xy_extremes, x, y, _grid_ = \
hiResMap(diff, lats, lons, **map_options)
del x, y, _grid_
diff = diff[indexes].flatten()
_lats_ = lats[indexes].flatten()
_lons_ = lons[indexes].flatten()
# draw a separate map layer for each potential
for indx, where_clause in enumerate(map_options['where_potential']):
prob_indexes = eval('N.where(%s)' % where_clause)
if len(prob_indexes[0]) > 0:
diff[prob_indexes] = indx
fig = addScatterToMap(options, _map_, map_fig,
diff[prob_indexes],
_lats_[prob_indexes],
_lons_[prob_indexes],
markercolor=marker_colors[indx])
finishMap(map_fig, axes, map_fig, **options)
return options['outputfile']
# no kill events - draw a blank map
else:
return self.drawNoDataMap('kill', **map_options)
def drawKillMap(self, date, model, lo_gdd_th, hi_gdd_th, verbose=False):
lats = self.lats
lons = self.lons
# get initiaized map options from config file
map_options = self.initMapOptions(date, model, None, None, 'variety',
'kill', 'kill')
var_config = fromConfig('crops.apple.variety')
# extract options required for plotting markers
marker_colors = map_options['markercolors']
kill_probabilities = var_config.kill_probabilities
# get stage index for date and draw the map
kill = self.getKill(model.name, lo_gdd_th, hi_gdd_th, date)
indexes = N.where(kill > 0)
# kill is probable at one or more grid nodes
if len(indexes[0]) > 0:
options, _map_, map_fig, axes, xy_extremes, x, y, _grid_ = \
hiResMap(kill, lats, lons, **map_options)
del x, y, _grid_
kill = kill[indexes].flatten()
_lats_ = lats[indexes].flatten()
_lons_ = lons[indexes].flatten()
# draw a separate map layer for each probability
for indx, probability in enumerate(kill_probabilities, start=1):
prob_indexes = N.where(kill == probability)
if len(prob_indexes[0]) > 0:
kill[prob_indexes] = indx
fig = addScatterToMap(options,
_map_,
map_fig,
kill[prob_indexes],
_lats_[prob_indexes],
_lons_[prob_indexes],
markercolor=marker_colors[indx - 1])
addModelText(map_fig, model, **map_options)
finishMap(map_fig, axes, map_fig, **options)
return options['outputfile']
# no kill events - draw a blank map
else:
config = fromConfig('crops.apple.variety.maps.no_data.kill.attrs')
return drawNoDataMap(lons,
lats,
config=config,
model=model,
**map_options)
def drawStageMap(self, date, model, lo_gdd_th, hi_gdd_th, verbose=False):
lats = self.lats
lons = self.lons
# get initiaized map options from config file
map_options = self.initMapOptions(date, model, lo_gdd_th, lo_gdd_th,
'variety', 'stage', 'stage')
var_config = fromConfig('crops.apple.variety')
# extract options required for plotting markers
marker_colors = map_options['markercolors']
stage_name_map = var_config.stage_name_map
# get stage index for date and draw the map
stage_data = self.getStage(model.name, lo_gdd_th, hi_gdd_th, date)
isfinite = N.where(N.isfinite(stage_data))
if len(N.where(stage_data[isfinite] > 0)[0]) > 0:
options, _map_, map_fig, axes, xy_extremes, x, y, _grid_ = \
hiResMap(stage_data, lats, lons, **map_options)
del x, y, _grid_
_lats_ = lats[isfinite].flatten()
_lons_ = lons[isfinite].flatten()
stage_data = stage_data[isfinite].flatten()
for stage in range(len(stage_name_map.attrs)):
indexes = N.where(stage_data == stage)
if len(indexes[0]) > 0:
fig = addScatterToMap(map_options,
_map_,
map_fig,
stage_data[indexes],
_lats_[indexes],
_lons_[indexes],
markercolor=marker_colors[stage])
addModelText(map_fig, model, **map_options)
finishMap(map_fig, axes, map_fig, **options)
return options['outputfile']
else:
config = fromConfig('crops.apple.variety.maps.no_data.stage.attrs')
return drawNoDataMap(lons,
lats,
config=config,
model=model,
**map_options)
def drawChillMaskMap(self,
date,
model,
lo_gdd_th,
hi_gdd_th,
verbose=False):
lats = self.lats
lons = self.lons
# get initiaized map options from config file
map_options = self.initMapOptions(date, model, None, None, 'variety',
'mask', 'mask')
var_config = fromConfig('crops.apple.variety')
# get stage index for date and draw the map
mask = self.getChillMask(model.name, lo_gdd_th, hi_gdd_th, date)
indexes = N.where(mask == True)
# kill is probable at one or more grid nodes
if len(indexes[0]) > 0:
options, _map_, map_fig, axes, xy_extremes, x, y, _grid_ = \
hiResMap(mask, lats, lons, **map_options)
del x, y, _grid_
x, y = _map_(lons[indexes].flatten(), lats[indexes].flatten())
fig1 = _map_.scatter(x, y, c='r', s=3, marker='^', linewidths=0)
addModelText(map_fig, model, **map_options)
finishMap(map_fig, axes, map_fig, **options)
return options['outputfile']
# no kill events - draw a blank map
else:
config = fromConfig('crops.apple.variety.maps.no_data.kill.attrs')
return drawNoDataMap(lons,
lats,
config=config,
model=model,
**map_options)
map_options = map_config.options[map_type].attrs
map_options = setupMap(map_options)
map_options['title'] = None
map_options['title2'] = None
map_options['area_template'] = map_config.no_data[map_type].create_with
if 'grid' in map_options: del map_options['grid']
dirpath = os.path.split(output_file)[0]
if dirpath:
if not os.path.exists(dirpath): os.makedirs(dirpath)
map_options['outputfile'] = output_file
else:
dirpath = map_options['shapelocation']
map_options['outputfile'] = os.path.join(dirpath, output_file)
factory = AppleGridFactory()
target_year = factory.getTargetYear(datetime.now())
reader = factory.getTempGridReader(target_year)
_map_ = hiResMap(reader.getTemp('reported.maxt', reader.start_date),
reader.lats, reader.lons, **map_options)
options = _map_[0]
fig1 = fig = _map_[2]
if map_type in ('gdd', 'accumulated'):
grid = N.empty(reader.lons.shape, dtype=float)
grid.fill(N.nan)
drawFilledContours(grid, reader.lats, reader.lons, **map_options)
else:
finishMap(fig, fig, options)
map_options['date'] = date
map_options['outputfile'] = filepath_template % asAcisQueryDate(date)
# get GDD accumulations for the date and draw the map
chill_grid = manager.getChill(model.name, 'accumulated', date)
finite = N.where(N.isfinite(chill_grid))
num_finite = float(len(finite[0]))
if num_finite > 0:
num_ge_min = float(len(N.where(chill_grid[finite] >= min_chill)[0]))
if num_ge_min > 0 and (num_ge_min / num_finite) > min_percent:
chill_grid[chill_grid < 100.] = N.nan
options, _map_, fig, axes, fig1, xy_extremes = \
drawFilledContours(chill_grid, lats, lons, finish=False,
**map_options)
addModelText(fig, model, **map_options)
finishMap(fig, axes, fig1, **options)
path = options['outputfile']
else:
path = drawNoDataMap(lons, lats, config=no_data, model=model,
**map_options)
print 'completed', path
else:
print 'All data missing for', date.strftime('%Y-%m-%d')
date += ONE_DAY
# turn annoying numpy warnings back on
warnings.resetwarnings()
