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portraits.py
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portraits.py
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#!/usr/bin/env python
import MV2
import cdms2
import vcs
import genutil
import glob
from genutil import StringConstructor
class Xs(object):
__slots__ = ("x1", "x2")
def __init__(self, x1, x2):
self.x1 = x1
self.x2 = x2
class Ys(object):
__slots__ = ("y1", "y2")
def __init__(self, y1, y2):
self.y1 = y1
self.y2 = y2
class XYs(object):
__slots__ = ("x1", "x2", "y1", "y2")
def __init__(self, x1, x2, y1, y2):
self.x1 = x1
self.x2 = x2
self.y1 = y1
self.y2 = y2
class Plot_defaults(object):
__slots__ = ["x1", "x2", "y1", "y2", "levels", "colormap",
"fillareacolors", "legend", "logo", "_logo",
"xticorientation", "yticorientation",
"parameterorientation", "tictable",
"parametertable", "draw_mesh",
"missing_color", "xtic1", "xtic2", "ytic1", "ytic2",
"time_stamp"]
def getlogo(self):
return self._logo
def setlogo(self, value):
if value is None or isinstance(value, basestring):
self._logo = vcs.utils.Logo(value)
logo = property(getlogo, setlogo)
def __init__(self):
self.x1 = .12
self.x2 = .84
self.y1 = .17
self.y2 = .8
self.levels = None
self.colormap = None
self.fillareacolors = None
self.legend = XYs(.89, .91, self.y1, self.y2)
# X ticks
self.xticorientation = vcs.createtextorientation()
self.xticorientation.angle = 360 - 90
self.xticorientation.halign = 'right'
self.xticorientation.height = 10
# Y ticks
self.yticorientation = vcs.createtextorientation()
self.yticorientation.angle = 0
self.yticorientation.halign = 'right'
self.yticorientation.height = 10
# Ticks table
self.tictable = vcs.createtexttable()
# parameters text settings
self.parameterorientation = vcs.createtextorientation()
self.parameterorientation.angle = 0
self.parameterorientation.halign = 'center'
self.parameterorientation.height = 20
self.parametertable = vcs.createtexttable()
# Defaults
self.draw_mesh = 'y'
self.missing_color = 3
self.xtic1 = Ys(None, None)
self.xtic2 = Ys(None, None)
self.ytic1 = Xs(None, None)
self.ytic2 = Xs(None, None)
# Set the logo textorientation
self.logo = None
# Set the time stamp
time_stamp = vcs.createtext()
time_stamp.height = 10
time_stamp.halign = 'center'
time_stamp.path = 'right'
time_stamp.valign = 'half'
time_stamp.x = [0.9]
time_stamp.y = [0.96]
self.time_stamp = time_stamp
class Portrait(object):
__slots_ = [
"verbose", "files_structure",
"exclude", "parameters_list",
"dummies", "auto_dummies", "grouped",
"slaves", "altered", "aliased",
"portrait_types", "PLOT_SETTINGS",
]
def __init__(self, files_structure=None, exclude=[], **kw):
''' initialize the portrait object, from file structure'''
self.verbose = True # output files looked for to the screen
self.files_structure = files_structure
self.exclude = exclude
# First determine the list of parameters on which we can have a
# portrait
self.parameters_list = []
self.dummies = []
self.auto_dummies = []
self.grouped = []
self.slaves = {}
self.altered = {}
self.aliased = {}
self.portrait_types = {}
self.PLOT_SETTINGS = Plot_defaults()
if files_structure is not None:
sp = files_structure.split('%(')
for s in sp:
i = s.find(')')
if i > -1: # to avoid the leading path
val = s[:i]
if not (
val in self.parameters_list or
val in ['files_structure', 'exclude']):
self.parameters_list.append(s[:i])
self.parameters_list.append('component')
self.parameters_list.append('statistic')
self.parameters_list.append('time_domain')
for p in self.parameters_list:
setattr(self, p, None)
for k in kw.keys():
setattr(self, k, kw[k])
def alter_parameter(
self, parameter=None, x=None, y=None, size=None, color=None):
if parameter is not None:
self.altered[parameter] = {
'x': x,
'y': y,
'size': size,
'color': color}
else:
if color is not None:
self.PLOT_SETTINGS.parametertable.color = color
if size is not None:
self.PLOT_SETTINGS.parameterorientation.size = size
def string_construct(self, nms):
n = nms[0]
if n not in self.slaves.keys():
t1 = [n + ' ' for nn in getattr(self, n)]
t2 = [str(nn) + ' ' for nn in getattr(self, n)]
else:
slavs = self.slaves[n]
nm = ''
for i in slavs:
nm = nm + ' ' + i
t1 = [n + nm + ' ' for nn in getattr(self, n)]
v1 = [res for res in getattr(self, n)]
vals = []
for i in range(len(v1)):
tmp = ''
for a in v1[i]:
if not a == '':
tmp += ' ' + str(a) + ' '
else:
tmp += ' NONE' + ' '
vals.append(tmp)
t2 = [nn for nn in vals]
for n in nms[1:]:
if n not in self.slaves.keys():
t1 = [' ' + t + ' ' + n for t in t1 for nn in getattr(self, n)]
t2 = [
' ' +
t +
' ' +
str(nn) for t in t2 for nn in getattr(
self,
n)]
else:
slavs = self.slaves[n]
nm = ' '
for i in slavs:
nm = ' ' + nm + ' ' + i
t1b = [n + nm for nn in getattr(self, n)]
v1 = [res for res in getattr(self, n)]
vals = []
for i in range(len(v1)):
tmp = ''
for a in v1[i]:
if not a == '':
tmp += ' ' + str(a)
else:
tmp += ' NONE'
vals.append(tmp)
t2b = [nn for nn in vals]
t1 = [t + tb for t in t1 for tb in t1b]
t2 = [t + tb for t in t2 for tb in t2b]
t3 = []
t1 = t1[0]
sp = t1.split()
n = len(sp)
for tmp in t2:
if isinstance(tmp, int):
tmp = str(tmp)
t = []
tt = tmp.split()
for i in range(n):
t.append(self.makestring(sp[i], tt[i]))
t3.append("%%%".join(t))
return t1, t2, t3
def set(self, portrait_type, parameter=None, values=None):
if portrait_type.lower() == 'absolute':
if 'relative' in self.portrait_types.keys():
del(self.portrait_types['relative'])
elif portrait_type.lower() == 'relative':
if not isinstance(parameter, str):
raise 'Parameter must be a string'
if not isinstance(values, (list, tuple)):
raise 'values must be a list or tuple'
self.portrait_types['relative'] = [parameter, values]
elif portrait_type.lower() == 'difference':
if not isinstance(parameter, str):
raise 'Parameter must be a string'
if not isinstance(values, (list, tuple)):
raise 'values must be a list or tuple'
self.portrait_types['difference'] = [parameter, values]
elif portrait_type.lower() in ['mean', 'average']:
if not isinstance(parameter, str):
raise 'Parameter must be a string'
if not isinstance(values, (list, tuple)):
raise 'values must be a list or tuple'
self.portrait_types['mean'] = [parameter, values]
else:
raise RuntimeError(
'Error type:"%s" not supported at this time' %
(portrait_type))
def dummy(self, parameter, which_dummy=''):
''' Sets a parameter as dummy, i.e. all possible values will be used'''
val = getattr(self, which_dummy + 'dummies')
if parameter not in val:
val.append(parameter)
setattr(self, which_dummy + 'dummies', val)
setattr(self, parameter, None)
def group(self, param1, param2):
''' sets 2 multiple values of parameters on the same axis'''
added = 0
for i in range(len(self.grouped)):
g = self.grouped[i]
if param1 in g:
if param2 not in g:
added = 1
self.grouped[i].append(param2)
elif param2 in g:
added = 1
self.grouped[i].append(param1)
if not added:
self.grouped.append([param1, param2])
def slave(self, master, slave):
''' defines a parameter as a slave of a master parameter'''
if master in self.slaves.keys():
v = self.slaves[master]
if slave not in v:
v.append(slave)
self.dummy(slave, which_dummy='auto_')
self.slaves[master] = v
else:
self.slaves[master] = [slave]
self.dummy(slave, which_dummy='auto_')
def alias(self, parameter, values):
if isinstance(values, dict):
self.aliased[parameter] = values
else:
oldvalue = getattr(self, parameter)
if parameter in self.slaves.keys():
ov = []
for n in oldvalue:
ov.append(n[0])
oldvalue = ov
n = len(oldvalue)
if len(values) != n:
raise 'Error aliasing ' + parameter + ' you submitted ' + \
str(len(values)) + ' aliases but it should be:' + str(n)
dic = {}
for i in range(n):
dic[oldvalue[i]] = values[i]
self.aliased[parameter] = dic
def makestring(self, parameter, value):
if parameter in self.aliased.keys():
dic = self.aliased[parameter]
if value in dic.keys():
return dic[value]
else:
return value
else:
return value
def makeaxis(self, names, axis_length):
"""
Create the axis with the names, etc.. .for portrait plot
Usage:
makeaxis(self,names,axis_length)
Returns:
a cdms axis
"""
# Now creates the axis names
t1, t2, t3 = self.string_construct(names)
sp1 = t1.split()
axis_names = []
for i in range(len(t2)):
nm = ''
sp2 = t3[i].split('%%%')
for j in range(len(sp2)):
if not sp1[j] in self.dummies and not sp2[j] == 'NONE':
# print sp2,j
if not sp2[j][0] == '_':
nm += ' ' + sp2[j]
else:
nm += ' ' + sp2[j][1:]
axis_names.append(nm)
dic = {}
for i in range(len(axis_names)):
dic[i] = axis_names[i]
y = cdms2.createAxis(range(axis_length))
y.names = repr(dic)
nm = []
for t in sp1:
if t not in self.dummies:
nm.append(t)
nm = "___".join(nm)
y.id = nm
return y
def rank(self, data, axis=0):
if axis not in [0, 1]:
if not isinstance(axis, str):
raise 'Ranking error, axis can only be 1 or 2 or name'
else:
nms = data.getAxisIds()
for i in range(len(nms)):
nm = nms[i]
if axis in nm.split('___'):
axis = i
if axis not in [0, 1]:
raise 'Ranking error, axis can only be 1 or 2 or name'
if data.ndim > 2:
raise "Ranking error, array can only be 2D"
if axis == 1:
data = MV2.transpose(data)
a0 = MV2.argsort(data.filled(1.E20), axis=0)
n = a0.shape[0]
b = MV2.zeros(a0.shape, MV2.float)
sh = a0[1].shape
for i in range(n):
Indx = MV2.ones(sh) * i
c = MV2.array(a0[i].filled(n - 1))
b = genutil.arrayindexing.set(b, c, Indx)
m = data.mask
if m is not None:
b = MV2.masked_where(m, b)
else:
b = MV2.array(b)
n = MV2.count(b, 0)
n.setAxis(0, b.getAxis(1))
b, n = genutil.grower(b, n)
b = 100. * b / (n - 1)
b.setAxisList(data.getAxisList())
if axis == 1:
b = MV2.transpose(b)
data = MV2.transpose(data)
return b
def rank_nD(self, data, axis=0):
if axis not in [0, 1]:
if not isinstance(axis, str):
raise 'Ranking error, axis can only be 1 or 2 or name'
else:
nms = data.getAxisIds()
for i in range(len(nms)):
nm = nms[i]
if axis in nm.split('___'):
axis = i
if axis not in [0, 1]:
raise 'Ranking error, axis can only be 1 or 2 or name'
if axis != 0:
data = data(order=(str(axis) + '...'))
a0 = MV2.argsort(data.filled(1.E20), axis=0)
n = a0.shape[0]
b = MV2.zeros(a0.shape, MV2.float)
sh = a0[1].shape
for i in range(n):
Indx = MV2.ones(sh) * i
c = MV2.array(a0[i].filled(n - 1))
b = genutil.arrayindexing.set(b, c, Indx)
m = data.mask
if m is not None:
b = MV2.masked_where(m, b)
else:
b = MV2.array(b)
n = MV2.count(b, 0)
n.setAxisList(b.getAxisList()[1:])
b, n = genutil.grower(b, n)
b = 100. * b / (n - 1)
b.setAxisList(data.getAxisList())
if axis != 0:
st = ''
for i in range(axis):
st += str(i + 1)
st += '0...'
data = data(order=st)
b = b(order=st)
return b
def get(self):
if 'difference' in self.portrait_types.keys():
d = self.portrait_types['difference']
setattr(self, d[0], d[1][0])
a1 = self._get()
setattr(self, d[0], d[1][1])
a2 = self._get()
return a1 - a2
elif 'mean' in self.portrait_types.keys():
d = self.portrait_types['mean']
setattr(self, d[0], d[1][0])
# This picked up by flake8
# probably needs double check
# used to be +=
tmp = self._get()
for v in d[1][1:]:
setattr(self, d[0], v)
tmp += self._get()
return tmp / len(d[1])
else:
return self._get()
def _get(self):
if 'relative' in self.portrait_types.keys():
d = self.portrait_types['relative']
vals = d[1]
real_value = getattr(self, d[0])
real = self.__get()
setattr(self, d[0], vals[0])
a0 = self.__get()
sh = list(a0.shape)
sh.insert(0, 1)
a0 = MV2.reshape(a0, sh)
for v in vals[1:]:
setattr(self, d[0], v)
tmp = self.__get()
tmp = MV2.reshape(tmp, sh)
a0 = MV2.concatenate((a0, tmp))
a0 = MV2.sort(a0, 0).filled()
real2 = real.filled()
a0 = MV2.reshape(a0, (a0.shape[0], sh[1] * sh[2]))
real2 = MV2.reshape(real2, (sh[1] * sh[2],))
a0 = MV2.transpose(a0)
indices = []
for i in range(len(real2)):
indices.append(MV2.searchsorted(a0[i], real2[i]))
indices = MV2.array(indices)
indices = MV2.reshape(indices, (sh[1], sh[2]))
if not ((real.mask is None) or (real.mask is MV2.nomask)):
indices = MV2.masked_where(real.mask, indices)
a = MV2.masked_equal(a0, 1.e20)
a = MV2.count(a, 1)
a = MV2.reshape(a, indices.shape)
indices = indices / a * 100
setattr(self, d[0], real_value)
indices.setAxisList(real.getAxisList())
# print indices.shape
return indices
else:
return self.__get()
def __get(self):
nfree = 0
names = []
for p in self.parameters_list:
if p not in self.dummies and p not in self.auto_dummies:
v = getattr(self, p)
if v is None \
or \
(isinstance(v, (list, tuple)) and len(v) > 1):
already = 0
for pn in names:
if p == pn:
already = 1
elif isinstance(pn, list):
if p in pn:
already = 1
if already == 0:
nfree += 1
added = 0
for g in self.grouped:
if p in g:
names.append(g)
added = 1
if added == 0:
names.append(p)
if nfree != 2:
raise 'Error MUST end up with 2 multiple values ! (we have ' + str(
nfree) + ':' + str(names) + ')'
# Now determines length of each axis
axes_length = [1, 1]
# First make sure with have 2 list of parameters
for i in range(2):
if not isinstance(names[i], list):
names[i] = [names[i]]
for n in names[i]:
v = getattr(self, n)
if v is None:
if n == 'component':
axes_length[i] *= 28
elif n == 'time_domain':
axes_length[i] *= 19
else:
raise 'Error, ' + n + \
' is not defined correctly, please' + \
' specify which values you wish to extract'
else:
axes_length[i] *= len(v)
# Creates the dummy array
output = MV2.ones((axes_length[0], axes_length[1]))
# Now mask everywhere
output = MV2.masked_equal(output, 1)
# Indices for filling
i = 0
j = 0
# First creates the filler object and sets all the fixed values !
F = StringConstructor(self.files_structure)
# Ok let's fill it
for p in self.parameters_list:
if p not in self.dummies and p not in self.auto_dummies:
v = getattr(self, p)
if isinstance(v, (list, tuple)):
if len(v) == 1:
v = v[0]
if p in self.slaves.keys():
# vslvs = v[1:]
v = v[0]
setattr(F, p, v)
if p in self.slaves.keys():
slvs = self.slaves[p]
for js in range(len(slvs)):
s = slvs[js]
setattr(F, s, slvs[js])
else:
setattr(F, p, '*')
else:
if p in self.slaves.keys():
# vslvs = v[1:]
v = v[0]
setattr(F, p, v)
if p in self.slaves.keys():
slvs = self.slaves[p]
for js in range(len(slvs)):
s = slvs[js]
setattr(F, s, slvs[js])
else:
setattr(F, p, '*')
# fnms=F()
nms = names[0] + names[1]
t1, t2, t3 = self.string_construct(nms)
output = output.ravel()
sp1 = t1.split()
n = len(sp1)
for i in range(len(t2)):
sp2 = t2[i].split()
for j in range(n):
v = sp2[j]
if sp1[j] == 'time_domain':
try:
v = int(v)
except Exception:
pass
if v == 'NONE':
v = ''
setattr(F, sp1[j], v)
# print 'Search string is:',fnms
# f=os.popen('ls '+F()).readlines()
# ip,op,ep=os.popen3('ls '+F())
if self.verbose:
print 'command line:', F()
# f=op.readlines()
f = glob.glob(F())
# print 'F is:',f
files = []
for file in f:
files.append(file)
for e in self.exclude:
if file.find(e) > -1:
files.pop(-1)
break
if self.verbose:
print 'files:', files
try:
# now we get the one value needed in this file
f = cdms2.open(files[0])
V = f[F.statistic]
component = F.component
time_domain = F.time_domain
if isinstance(component, str):
dic = eval(f.components)
for k in dic.keys():
if dic[k] == F.component:
component = k
if isinstance(F.time_domain, str):
dic = eval(f.time_domain)
for k in dic.keys():
if dic[k] == F.time_domain:
time_domain = k
value = V(
time_domain=time_domain,
component=component,
squeeze=1)
output[i] = value
# In case sometihng goes wrong (like modle not processed or
# inexsitant for this var, etc...)
f.close()
except Exception:
pass
output = MV2.reshape(output, (axes_length[0], axes_length[1]))
output.id = 'portrait plot'
yaxis = self.makeaxis(names[0], axes_length[0])
xaxis = self.makeaxis(names[1], axes_length[1])
output.setAxis(0, yaxis)
output.setAxis(1, xaxis)
# Makes the dim with the most element on the X axis
if axes_length[0] > axes_length[1]:
output = MV2.transpose(output)
return output
def decorate(self, output, ynm=None, xnm=None):
x = cdms2.createAxis(range(len(xnm)))
y = cdms2.createAxis(range(len(ynm)))
try:
del(x.name)
del(y.name)
del(output.name)
except Exception:
pass
nm = '___'.join(xnm)
x.id = nm
dic = {}
for i in range(len(xnm)):
dic[i] = xnm[i]
x.names = repr(dic)
nm = '___'.join(ynm)
y.id = nm
output.setAxis(0, y)
dic = {}
for i in range(len(ynm)):
dic[i] = ynm[i]
y.names = repr(dic)
output.setAxis(1, x)
return
def plot(self, data=None, mesh=None, template=None,
meshfill=None, x=None, bg=0, multiple=1.1):
# Create the vcs canvas
if x is None:
x = vcs.init()
# Continents bug
x.setcontinentstype(0)
# gets the thing to plot !
if data is None:
data = self.get()
# Do we use a predefined template ?
if template is None:
template = x.createtemplate()
# Now sets all the things for the template...
# Sets a bunch of template attributes to off
for att in [
'line1', 'line2', 'line3', 'line4',
'box2', 'box3', 'box4',
'min', 'max', 'mean',
'xtic1', 'xtic2',
'ytic1', 'ytic2',
'xvalue', 'yvalue', 'zvalue', 'tvalue',
'xunits', 'yunits', 'zunits', 'tunits',
'source', 'title', 'dataname',
]:
a = getattr(template, att)
setattr(a, 'priority', 0)
for att in [
'xname', 'yname',
]:
a = getattr(template, att)
setattr(a, 'priority', 0)
template.data.x1 = self.PLOT_SETTINGS.x1
template.data.x2 = self.PLOT_SETTINGS.x2
template.data.y1 = self.PLOT_SETTINGS.y1
template.data.y2 = self.PLOT_SETTINGS.y2
template.box1.x1 = self.PLOT_SETTINGS.x1
template.box1.x2 = self.PLOT_SETTINGS.x2
template.box1.y1 = self.PLOT_SETTINGS.y1
template.box1.y2 = self.PLOT_SETTINGS.y2
template.xname.y = self.PLOT_SETTINGS.y2 + .02
template.yname.x = self.PLOT_SETTINGS.x2 + .01
template.xlabel1.y = self.PLOT_SETTINGS.y1
template.xlabel2.y = self.PLOT_SETTINGS.y2
template.xlabel1.texttable = self.PLOT_SETTINGS.tictable
template.xlabel2.texttable = self.PLOT_SETTINGS.tictable
template.xlabel1.textorientation = \
self.PLOT_SETTINGS.xticorientation
template.xlabel2.textorientation = \
self.PLOT_SETTINGS.xticorientation
template.ylabel1.x = self.PLOT_SETTINGS.x1
template.ylabel2.x = self.PLOT_SETTINGS.x2
template.ylabel1.texttable = self.PLOT_SETTINGS.tictable
template.ylabel2.texttable = self.PLOT_SETTINGS.tictable
template.ylabel1.textorientation = \
self.PLOT_SETTINGS.yticorientation
template.ylabel2.textorientation = \
self.PLOT_SETTINGS.yticorientation
if self.PLOT_SETTINGS.xtic1.y1 is not None:
template.xtic1.y1 = self.PLOT_SETTINGS.xtic1.y1
template.xtic1.priority = 1
if self.PLOT_SETTINGS.xtic1.y2 is not None:
template.xtic1.y2 = self.PLOT_SETTINGS.xtic1.y2
template.xtic1.priority = 1
if self.PLOT_SETTINGS.xtic2.y1 is not None:
template.xtic2.y1 = self.PLOT_SETTINGS.xtic2.y1
template.xtic2.priority = 1
if self.PLOT_SETTINGS.xtic2.y2 is not None:
template.xtic2.y2 = self.PLOT_SETTINGS.xtic2.y2
template.xtic2.priority = 1
if self.PLOT_SETTINGS.ytic1.x1 is not None:
template.ytic1.x1 = self.PLOT_SETTINGS.ytic1.x1
template.ytic1.priority = 1
if self.PLOT_SETTINGS.ytic1.x2 is not None:
template.ytic1.x2 = self.PLOT_SETTINGS.ytic1.x2
template.ytic1.priority = 1
if self.PLOT_SETTINGS.ytic2.x1 is not None:
template.ytic2.priority = 1
template.ytic2.x1 = self.PLOT_SETTINGS.ytic2.x1
if self.PLOT_SETTINGS.ytic2.x2 is not None:
template.ytic2.priority = 1
template.ytic2.x2 = self.PLOT_SETTINGS.ytic2.x2
template.legend.x1 = self.PLOT_SETTINGS.legend.x1
template.legend.x2 = self.PLOT_SETTINGS.legend.x2
template.legend.y1 = self.PLOT_SETTINGS.legend.y1
template.legend.y2 = self.PLOT_SETTINGS.legend.y2
try:
tmp = x.createtextorientation('crap22')
except Exception:
tmp = x.gettextorientation('crap22')
tmp.height = 12
# tmp.halign = 'center'
# template.legend.texttable = tmp
template.legend.textorientation = tmp
else:
if isinstance(template, vcs.template.P):
tid = template.name
elif isinstance(template, str):
tid = template
else:
raise 'Error cannot understand what you mean by template=' + \
str(template)
template = x.createtemplate()
# Do we use a predefined meshfill ?
if meshfill is None:
mtics = {}
for i in range(100):
mtics[i - .5] = ''
meshfill = x.createmeshfill()
meshfill.xticlabels1 = eval(data.getAxis(1).names)
meshfill.yticlabels1 = eval(data.getAxis(0).names)
meshfill.datawc_x1 = -.5
meshfill.datawc_x2 = data.shape[1] - .5
meshfill.datawc_y1 = -.5
meshfill.datawc_y2 = data.shape[0] - .5
meshfill.mesh = self.PLOT_SETTINGS.draw_mesh
meshfill.missing = self.PLOT_SETTINGS.missing_color
meshfill.xticlabels2 = mtics
meshfill.yticlabels2 = mtics
if self.PLOT_SETTINGS.colormap is None:
self.set_colormap(x)
elif x.getcolormapname() != self.PLOT_SETTINGS.colormap:
x.setcolormap(self.PLOT_SETTINGS.colormap)
if self.PLOT_SETTINGS.levels is None:
min, max = vcs.minmax(data)
if max != 0:
max = max + .000001
levs = vcs.mkscale(min, max)
else:
levs = self.PLOT_SETTINGS.levels
if len(levs) > 1:
meshfill.levels = levs
if self.PLOT_SETTINGS.fillareacolors is None:
cols = vcs.getcolors(levs, range(16, 40), split=1)
meshfill.fillareacolors = cols
else:
meshfill.fillareacolors = self.PLOT_SETTINGS.fillareacolors
# self.setmeshfill(x,meshfill,levs)
# if self.PLOT_SETTINGS.legend is None:
# meshfill.legend=vcs.mklabels(levs)
# else:
# meshfill.legend=self.PLOT_SETTINGS.legend
# Now creates the mesh associated
n = int(multiple)
ntot = int((multiple - n) * 10 + .1)
# data=data
sh = list(data.shape)
sh.append(2)
Indx = MV2.indices((sh[0], sh[1]))
Y = Indx[0]
X = Indx[1]
# if ntot>1:
# meshfill.mesh='y'
if ntot == 1:
sh.append(4)
M = MV2.zeros(sh)
M[:, :, 0, 0] = Y - .5
M[:, :, 1, 0] = X - .5
M[:, :, 0, 1] = Y - .5
M[:, :, 1, 1] = X + .5
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X + .5
M[:, :, 0, 3] = Y + .5
M[:, :, 1, 3] = X - .5
M = MV2.reshape(M, (sh[0] * sh[1], 2, 4))
elif ntot == 2:
sh.append(3)
M = MV2.zeros(sh)
M[:, :, 0, 0] = Y - .5
M[:, :, 1, 0] = X - .5
M[:, :, 0, 1] = Y + .5 - (n - 1)
M[:, :, 1, 1] = X - 0.5 + (n - 1)
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X + .5
M = MV2.reshape(M, (sh[0] * sh[1], 2, 3))
elif ntot == 3:
design = int((multiple - n) * 100 + .1)
if design == 33:
sh.append(3)
M = MV2.zeros(sh)
if n == 1:
M[:, :, 0, 0] = Y - .5
M[:, :, 1, 0] = X - .5
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X - .5
elif n == 2:
M[:, :, 0, 0] = Y - .5
M[:, :, 1, 0] = X - .5
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y - .5
M[:, :, 1, 2] = X + .5
elif n == 3:
M[:, :, 0, 0] = Y + .5
M[:, :, 1, 0] = X + .5
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y - .5
M[:, :, 1, 2] = X + .5
M = MV2.reshape(M, (sh[0] * sh[1], 2, 3))
elif design == 32:
sh.append(5)
M = MV2.zeros(sh)
M[:, :, 0, 0] = Y
M[:, :, 1, 0] = X
d = .5 / MV2.sqrt(3.)
if n == 1:
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X - .5
M[:, :, 0, 3] = Y - d
M[:, :, 1, 3] = X - .5
# dummy point for n==1 or 3
M[:, :, 0, 4] = Y
M[:, :, 1, 4] = X
if n == 2:
M[:, :, 0, 1] = Y - d
M[:, :, 1, 1] = X - .5
M[:, :, 0, 2] = Y - .5
M[:, :, 1, 2] = X - .5
M[:, :, 0, 3] = Y - .5
M[:, :, 1, 3] = X + .5
M[:, :, 0, 4] = Y - d
M[:, :, 1, 4] = X + .5
elif n == 3:
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X + .5
M[:, :, 0, 3] = Y - d
M[:, :, 1, 3] = X + .5
# dummy point for n==1 or 3
M[:, :, 0, 4] = Y
M[:, :, 1, 4] = X
M = MV2.reshape(M, (sh[0] * sh[1], 2, 5))
else:
sh.append(5)
M = MV2.zeros(sh)
M[:, :, 0, 0] = Y
M[:, :, 1, 0] = X
d = 1. / 3.
if n == 1:
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X - .5
M[:, :, 0, 3] = Y - d
M[:, :, 1, 3] = X - .5
# dummy point for n==1 or 3
M[:, :, 0, 4] = Y
M[:, :, 1, 4] = X
if n == 2:
M[:, :, 0, 1] = Y - d
M[:, :, 1, 1] = X - .5
M[:, :, 0, 2] = Y - .5
M[:, :, 1, 2] = X - .5
M[:, :, 0, 3] = Y - .5
M[:, :, 1, 3] = X + .5
M[:, :, 0, 4] = Y - d
M[:, :, 1, 4] = X + .5
elif n == 3:
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X + .5
M[:, :, 0, 3] = Y - d
M[:, :, 1, 3] = X + .5
# dummy point for n==1 or 3
M[:, :, 0, 4] = Y
M[:, :, 1, 4] = X
M = MV2.reshape(M, (sh[0] * sh[1], 2, 5))
elif ntot == 4:
sh.append(3)
M = MV2.zeros(sh)
M[:, :, 0, 0] = Y
M[:, :, 1, 0] = X
if n == 1:
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X + .5
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X - .5
elif n == 2:
M[:, :, 0, 1] = Y + .5
M[:, :, 1, 1] = X - .5
M[:, :, 0, 2] = Y - .5
M[:, :, 1, 2] = X - .5
elif n == 3:
M[:, :, 0, 1] = Y - .5
M[:, :, 1, 1] = X - .5
M[:, :, 0, 2] = Y - .5
M[:, :, 1, 2] = X + .5
elif n == 4:
M[:, :, 0, 1] = Y - .5
M[:, :, 1, 1] = X + .5
M[:, :, 0, 2] = Y + .5
M[:, :, 1, 2] = X + .5
M = MV2.reshape(M, (sh[0] * sh[1], 2, 3))
else: