62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
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#import logger
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from scipy import array,take,asarray,shape
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import project
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#from sets import Set as set
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from itertools import izip
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class Dataset:
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"""
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Dataset base class
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"""
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def __init__(self,input_array,def_list,parents=None):
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self._data = asarray(input_array)
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self.dims = shape(self._data)
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self.parents = parents
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self.def_list = def_list
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self._ids_set = set()
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self.ids={}
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self.children=[]
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self._dim_num = {}
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if parents!=None:
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for parent in self.parents:
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parent.children.append(self)
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if len(def_list)!=len(self.dims):
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raise ValueError,"array dims and identifyer mismatch"
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for axis,(dim_name,ids) in enumerate(def_list):
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enum_ids = {}
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if dim_name not in project.c_p.dim_names:
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dim_name = project.c_p.suggest_dim_name(dim_name)
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if not ids:
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ids = self._create_identifiers(axis)
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for num,name in enumerate(ids):
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enum_ids[name] = num
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self.ids[dim_name] = enum_ids
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self._ids_set = self._ids_set.union(set(ids))
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self._dim_num[dim_name] = axis
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for df,d in izip(def_list,self.dims):
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df=df[1]
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if len(df)!=d and df:
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raise ValueError,"dim size and identifyer mismatch"
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def extract_data(self,ids,dim_name):
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new_def_list = self.def_list[:]
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ids_index = [self.ids[dim_name][id_name] for id_name in ids]
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dim_number = self._dim_num[dim_name]
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try:
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out_data = take(self._data,ids_index,axis=dim_number)
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except:
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raise ValueError
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new_def_list[dim_number][1] = ids
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D = Dataset(out_data,def_list=new_def_list,parents=self.parents)
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return D
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def _create_identifiers(self,axis):
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n_dim = self.dims[axis]
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return [str(axis) + '_' + str(i) for i in range(n_dim)]
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class Selection:
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def __init__(self):
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self.current_selection={}
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