116 lines
4.0 KiB
Python
116 lines
4.0 KiB
Python
from pyqtgraph.Qt import QtGui, QtCore
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import pyqtgraph.parametertree as ptree
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import numpy as np
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from pyqtgraph.pgcollections import OrderedDict
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__all__ = ['DataFilterWidget']
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class DataFilterWidget(ptree.ParameterTree):
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"""
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This class allows the user to filter multi-column data sets by specifying
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multiple criteria
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"""
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sigFilterChanged = QtCore.Signal(object)
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def __init__(self):
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ptree.ParameterTree.__init__(self, showHeader=False)
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self.params = DataFilterParameter()
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self.setParameters(self.params)
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self.params.sigTreeStateChanged.connect(self.filterChanged)
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self.setFields = self.params.setFields
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self.filterData = self.params.filterData
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def filterChanged(self):
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self.sigFilterChanged.emit(self)
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def parameters(self):
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return self.params
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class DataFilterParameter(ptree.types.GroupParameter):
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sigFilterChanged = QtCore.Signal(object)
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def __init__(self):
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self.fields = {}
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ptree.types.GroupParameter.__init__(self, name='Data Filter', addText='Add filter..', addList=[])
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self.sigTreeStateChanged.connect(self.filterChanged)
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def filterChanged(self):
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self.sigFilterChanged.emit(self)
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def addNew(self, name):
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mode = self.fields[name].get('mode', 'range')
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if mode == 'range':
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self.addChild(RangeFilterItem(name, self.fields[name]))
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elif mode == 'enum':
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self.addChild(EnumFilterItem(name, self.fields[name]))
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def fieldNames(self):
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return self.fields.keys()
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def setFields(self, fields):
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self.fields = OrderedDict(fields)
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names = self.fieldNames()
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self.setAddList(names)
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def filterData(self, data):
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if len(data) == 0:
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return data
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return data[self.generateMask(data)]
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def generateMask(self, data):
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mask = np.ones(len(data), dtype=bool)
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if len(data) == 0:
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return mask
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for fp in self:
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if fp.value() is False:
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continue
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mask &= fp.generateMask(data)
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#key, mn, mx = fp.fieldName, fp['Min'], fp['Max']
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#vals = data[key]
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#mask &= (vals >= mn)
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#mask &= (vals < mx) ## Use inclusive minimum and non-inclusive maximum. This makes it easier to create non-overlapping selections
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return mask
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class RangeFilterItem(ptree.types.SimpleParameter):
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def __init__(self, name, opts):
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self.fieldName = name
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units = opts.get('units', '')
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ptree.types.SimpleParameter.__init__(self,
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name=name, autoIncrementName=True, type='bool', value=True, removable=True, renamable=True,
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children=[
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#dict(name="Field", type='list', value=name, values=fields),
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dict(name='Min', type='float', value=0.0, suffix=units, siPrefix=True),
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dict(name='Max', type='float', value=1.0, suffix=units, siPrefix=True),
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])
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def generateMask(self, data):
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vals = data[self.fieldName]
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return (vals >= mn) & (vals < mx) ## Use inclusive minimum and non-inclusive maximum. This makes it easier to create non-overlapping selections
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class EnumFilterItem(ptree.types.SimpleParameter):
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def __init__(self, name, opts):
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self.fieldName = name
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vals = opts.get('values', [])
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childs = [{'name': v, 'type': 'bool', 'value': True} for v in vals]
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ptree.types.SimpleParameter.__init__(self,
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name=name, autoIncrementName=True, type='bool', value=True, removable=True, renamable=True,
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children=childs)
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def generateMask(self, data):
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vals = data[self.fieldName]
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mask = np.ones(len(data), dtype=bool)
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for c in self:
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if c.value() is True:
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continue
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key = c.name()
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mask &= vals != key
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return mask
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