def _set_expression_vars(self, v):
if v is not None:
self._expression = str(v) if not isdynamic(v) else v[1:]
self._nouse_expression = False if self._expression != '' else True
else:
self._expression = ''
self._nouse_expression = False
def __new__(cls, *args, **kywds):
if 'src' in kywds:
obj = FigPlot.__new__(cls, *args, **kywds)
# obj = set_hidden_vars(obj)
obj._use_decimate = True
return obj
mpl_cmd, kywds = ProcessKeywords(kywds, 'mpl_command', 'plot')
mpl_cmd = 'plot'
p = ArgsParser()
p.add_opt('x', None, ['numbers|nonstr', 'dynamic'])
p.add_var('y', ['numbers|nonstr', 'dynamic'])
p.add_opt('s', '', 'str') # optional argument
# if mpl_cmd is 'errorbar':
p.set_ndconvert("x", "y")
p.set_squeeze_minimum_1D("x", "y")
v, kywds, d, flag = p.process(*args, **kywds)
if not flag:
raise ValueError('Failed when processing argument')
obj = FigPlot.__new__(cls, *args, **kywds)
# obj = set_hidden_vars(obj)
obj._use_decimate = True
obj._mpl_cmd = mpl_cmd
if (v["x"] is None and not isdynamic(v["y"])):
v["x"] = np.arange(v["y"].shape[-1])
for name in v:
obj.setvar(name, v[name])
obj.setvar("kywds", kywds)
return obj
def _set_expression_vars(self, v):
if v is not None:
self._expression = str(v) if not isdynamic(v) else v[1:]
self._nouse_expression = False if self._expression != '' else True
else:
self._expression = ''
self._nouse_expression = False
def __new__(cls, *args, **kywds):
if kywds.has_key('src'):
obj = FigPlot.__new__(cls, *args, **kywds)
# obj = set_hidden_vars(obj)
obj._use_decimate = True
return obj
mpl_cmd, kywds = ProcessKeywords(kywds, 'mpl_command', 'plot')
mpl_cmd = 'plot'
p = ArgsParser()
p.add_opt('x', None, ['numbers|nonstr', 'dynamic'])
p.add_var('y', ['numbers|nonstr', 'dynamic'])
p.add_opt('s', '', 'str') ### optional argument
# if mpl_cmd is 'errorbar':
p.set_ndconvert("x","y")
p.set_squeeze_minimum_1D("x","y")
v, kywds,d, flag = p.process(*args, **kywds)
if not flag:
raise ValueError('Failed when processing argument')
obj = FigPlot.__new__(cls, *args, **kywds)
# obj = set_hidden_vars(obj)
obj._use_decimate = True
obj._mpl_cmd = mpl_cmd
if (v["x"] is None and not isdynamic(v["y"])):
v["x"] = np.arange(v["y"].shape[-1])
for name in v.keys(): obj.setvar(name, v[name])
obj.setvar("kywds", kywds)
return obj
def __new__(cls, *args, **kywds):
def set_hidden_vars(obj):
obj._mpl_cmd = 'plot'
obj._eb_container = (None, tuple(), tuple())
obj._other_artists = []
obj._objs = [] # for debug....
obj._data_extent = None
obj._is_decimate = False
obj._use_decimate = False
obj._decimate_limit = _decimate_limit
return obj
if 'src' in kywds:
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
return obj
mpl_cmd = kywds.pop('mpl_command', 'plot')
p = ArgsParser()
p.add_opt('x', None, ['numbers|nonstr', 'dynamic'])
p.add_var('y', ['numbers|nonstr', 'dynamic'])
p.add_opt('z', None, ['numbers|nonstr', 'dynamic'])
p.add_opt('s', '', 'str') # optional argument
p.add_key('cz', False, 'bool')
# if mpl_cmd is 'errorbar':
p.add_key('xerr', None)
p.add_key('yerr', None)
p.add_key('ecolor', None)
p.add_key('elinewidth', None)
p.add_key('array_idx', None)
if 'cz' in kywds and kywds['cz']:
p.add_key('cmap', 'jet')
p.add_key('c', None)
p.set_ndconvert("x", "y", "z", "xerr", "yerr", "c")
p.set_squeeze_minimum_1D("x", "y", "z", "xerr", "yerr", "c")
v, kywds, d, flag = p.process(*args, **kywds)
if not flag:
raise ValueError('Failed when processing argument')
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
obj._mpl_cmd = mpl_cmd
if (v["x"] is None and not isdynamic(v["y"])):
v["x"] = np.arange(v["y"].shape[-1]).astype(v["y"].dtype)
if 'cmap' in v and v['cmap'] is not None:
if isinstance(v['cmap'], Colormap):
v['cmap'] = v['cmap'].name
kywds['cmap'] = v['cmap']
del v['cmap']
for name in v:
obj.setvar(name, v[name])
obj.setvar("kywds", kywds)
return obj
def apply_squeeze(v, name, minimum_1D=False):
if not v.has_key(name): return v
if isdynamic(v[name]): return v
try:
if (v[name] is not None and not minimum_1D):
v[name] = np.squeeze(v[name])
if (v[name] is not None and minimum_1D and v[name].dim > 1):
v[name] = np.squeeze(v[name])
except:
pass
return v
def apply_squeeze(v, name, minimum_1D=False):
if not v.has_key(name): return v
if isdynamic(v[name]): return v
try:
if (v[name] is not None and not minimum_1D):
v[name] = np.squeeze(v[name])
if (v[name] is not None and minimum_1D and
v[name].dim > 1):
v[name] = np.squeeze(v[name])
except:
pass
return v
def __new__(cls, *args, **kywds):
def set_hidden_vars(obj):
obj._mpl_cmd = 'plot'
obj._eb_container = (None, tuple(), tuple())
obj._other_artists = []
obj._objs=[] ## for debug....
obj._data_extent=None
obj._is_decimate = False
obj._use_decimate = False
obj._decimate_limit = _decimate_limit
return obj
if kywds.has_key('src'):
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
return obj
mpl_cmd = kywds.pop('mpl_command', 'plot')
p = ArgsParser()
p.add_opt('x', None, ['numbers|nonstr', 'dynamic'])
p.add_var('y', ['numbers|nonstr', 'dynamic'])
p.add_opt('z', None, ['numbers|nonstr', 'dynamic'])
p.add_opt('s', '', 'str') ### optional argument
p.add_key('cz', False, 'bool')
# if mpl_cmd is 'errorbar':
p.add_key('xerr', None)
p.add_key('yerr', None)
p.add_key('ecolor', None)
p.add_key('elinewidth', None)
p.add_key('array_idx', None)
if 'cz' in kywds and kywds['cz']:
p.add_key('cmap', 'jet')
p.add_key('c', None)
p.set_ndconvert("x","y","z","xerr","yerr", "c")
p.set_squeeze_minimum_1D("x","y","z","xerr","yerr", "c")
v, kywds,d, flag = p.process(*args, **kywds)
if not flag:
raise ValueError('Failed when processing argument')
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
obj._mpl_cmd = mpl_cmd
if (v["x"] is None and not isdynamic(v["y"])):
v["x"] = np.arange(v["y"].shape[-1]).astype(v["y"].dtype)
if 'cmap' in v and v['cmap'] is not None:
if isinstance(v['cmap'], Colormap): v['cmap'] = v['cmap'].name
kywds['cmap'] = v['cmap']
del v['cmap']
for name in v.keys(): obj.setvar(name, v[name])
obj.setvar("kywds", kywds)
return obj
def do_check(value, cond):
if cond == 'ndarray':
return isndarray(value)
if cond == 'can_ndreal_array':
try:
void = np.array(value).astype(np.float)
return void.size > 0
except:
pass
return False
elif cond == 'iter':
return isiterable(value)
elif cond == 'sequence':
return issequence(value)
elif cond == 'str':
if six.PY2:
return isinstance(value, str) or isinstance(value, unicode)
else:
return isinstance(value, str)
elif cond == 'nonstr':
if six.PY2:
return not (isinstance(value, str)
or isinstance(value, unicode))
else:
return not isinstance(value, str)
elif cond == 'int':
return isinstance(value, int)
elif cond == 'float':
return isinstance(value, float)
elif cond == 'real':
return isinstance(value, float) or isinstance(value, int)
elif cond == 'dynamic':
return isdynamic(value)
elif cond == 'bool':
return isinstance(value, bool)
elif cond == 'number':
return isnumber(value)
elif cond == 'empty':
if (isinstance(value, list) and len(value) == 0):
return True
return False
elif cond == 'numbers':
if issequence(value):
if len(value) == 0:
return False
return isnumber(value[0])
else:
return False
elif cond == 'any':
return True
print(('ArgsParser::Unknown condition (ignored)', cond))
return True
def convert_ndarray(v, name):
if not v.has_key(name): return v
if v[name] is None: return v
if isdynamic(v[name]): return v
if isiterable(v[name]) and not isndarray(v[name]):
try:
v[name] = np.array(v[name])
except:
return v
if not isiterable(v[name]):
try:
v[name] = np.array([v[name]])
except:
return v
if np.iscomplex(v[name]).any(): return v
v[name] = v[name].astype(np.float)
return v
def convert_ndarray(v, name):
if not v.has_key(name): return v
if v[name] is None: return v
if isdynamic(v[name]): return v
if isiterable(v[name]) and not isndarray(v[name]):
try:
v[name] = np.array(v[name])
except:
return v
if not isiterable(v[name]):
try:
v[name] = np.array([v[name]])
except:
return v
if np.iscomplex(v[name]).any(): return v
v[name] = v[name].astype(np.float)
return v
def do_check(value, cond):
if cond == 'ndarray':
return isndarray(value)
if cond == 'can_ndreal_array':
try:
void = np.array(value).astype(np.float)
return void.size > 0
except:
pass
return False
elif cond == 'iter':
return isiterable(value)
elif cond == 'sequence':
return issequence(value)
elif cond == 'str':
return isinstance(value, str) or isinstance(value, unicode)
elif cond == 'nonstr':
return not (isinstance(value, str) or isinstance(value, unicode))
elif cond == 'int':
return isinstance(value, int)
elif cond == 'float':
return isinstance(value, float)
elif cond == 'real':
return isinstance(value, float) or isinstance(value, int)
elif cond == 'dynamic':
return isdynamic(value)
elif cond == 'bool':
return isinstance(value, bool)
elif cond == 'number':
return isnumber(value)
elif cond == 'empty':
if (isinstance(value, list) and
len(value) == 0):
return True
return False
elif cond == 'numbers':
if issequence(value):
if len(value)==0: return False
return isnumber(value[0])
else:
return False
elif cond == 'any':
return True
print('ArgsParser::Unknown condition (ignored)', cond)
return True
def __new__(cls, *args, **kywds):
if len(args) == 3:
tri = args[0]
args = args[1:]
else:
tri = None
def set_hidden_vars(obj):
obj._other_artists = []
obj._objs = [] # for debug....
obj._data_extent = None
return obj
if 'src' in kywds:
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
return obj
p = ArgsParser()
p.add_opt('x', None, ['numbers|nonstr', 'dynamic'])
p.add_var('y', ['numbers|nonstr', 'dynamic'])
p.add_key('color', 'b')
p.add_key('linestyle', '-')
p.add_key('linewidth', 1.0)
p.set_ndconvert("x", "y")
p.set_squeeze_minimum_1D("x", "y")
p.add_key('mask', None)
v, kywds, d, flag = p.process(*args, **kywds)
if not flag:
raise ValueError('Failed when processing argument')
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
if (v["x"] is None and not isdynamic(v["y"])):
v["x"] = np.arange(v["y"].shape[-1])
for name in v:
obj.setvar(name, v[name])
obj.setvar("kywds", kywds)
obj.setvar("tri", tri)
return obj
def __new__(cls, *args, **kywds):
if len(args) == 3:
tri = args[0]
args = args[1:]
else:
tri = None
def set_hidden_vars(obj):
obj._other_artists = []
obj._objs=[] ## for debug....
obj._data_extent=None
return obj
if kywds.has_key('src'):
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
return obj
p = ArgsParser()
p.add_opt('x', None, ['numbers|nonstr', 'dynamic'])
p.add_var('y', ['numbers|nonstr', 'dynamic'])
p.add_key('color', 'b')
p.add_key('linestyle', '-')
p.add_key('linewidth', 1.0)
p.set_ndconvert("x","y")
p.set_squeeze_minimum_1D("x","y")
p.add_key('mask', None)
v, kywds, d, flag = p.process(*args, **kywds)
if not flag:
raise ValueError('Failed when processing argument')
obj = FigObj.__new__(cls, *args, **kywds)
obj = set_hidden_vars(obj)
if (v["x"] is None and not isdynamic(v["y"])):
v["x"] = np.arange(v["y"].shape[-1])
for name in v.keys(): obj.setvar(name, v[name])
obj.setvar("kywds", kywds)
obj.setvar("tri", tri)
return obj
