210 lines
7.5 KiB
Python
210 lines
7.5 KiB
Python
from ..Qt import QtGui, QtCore
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from .. import parametertree as ptree
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import numpy as np
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from ..pgcollections import OrderedDict
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from .. import functions as fn
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from ..python2_3 import basestring
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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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Wraps methods from DataFilterParameter: setFields, generateMask,
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filterData, and describe.
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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.sigFilterChanged.connect(self.sigFilterChanged)
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self.setFields = self.params.setFields
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self.generateMask = self.params.generateMask
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self.filterData = self.params.filterData
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self.describe = self.params.describe
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def parameters(self):
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return self.params
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def addFilter(self, name):
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"""Add a new filter and return the created parameter item.
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"""
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return self.params.addNew(name)
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class DataFilterParameter(ptree.types.GroupParameter):
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"""A parameter group that specifies a set of filters to apply to tabular data.
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"""
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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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child = self.addChild(RangeFilterItem(name, self.fields[name]))
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elif mode == 'enum':
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child = self.addChild(EnumFilterItem(name, self.fields[name]))
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return child
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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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"""Set the list of fields that are available to be filtered.
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*fields* must be a dict or list of tuples that maps field names
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to a specification describing the field. Each specification is
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itself a dict with either ``'mode':'range'`` or ``'mode':'enum'``::
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filter.setFields([
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('field1', {'mode': 'range'}),
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('field2', {'mode': 'enum', 'values': ['val1', 'val2', 'val3']}),
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('field3', {'mode': 'enum', 'values': {'val1':True, 'val2':False, 'val3':True}}),
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])
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"""
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with fn.SignalBlock(self.sigTreeStateChanged, self.filterChanged):
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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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# update any existing filters
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for ch in self.children():
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name = ch.fieldName
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if name in fields:
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ch.updateFilter(fields[name])
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self.sigFilterChanged.emit(self)
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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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"""Return a boolean mask indicating whether each item in *data* passes
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the filter critera.
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"""
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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, mask.copy())
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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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def describe(self):
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"""Return a list of strings describing the currently enabled filters."""
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desc = []
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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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desc.append(fp.describe())
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return desc
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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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self.units = 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, mask):
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vals = data[self.fieldName][mask]
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mask[mask] = (vals >= self['Min']) & (vals < self['Max']) ## 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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def describe(self):
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return "%s < %s < %s" % (fn.siFormat(self['Min'], suffix=self.units), self.fieldName, fn.siFormat(self['Max'], suffix=self.units))
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def updateFilter(self, opts):
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pass
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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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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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self.setEnumVals(opts)
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def generateMask(self, data, startMask):
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vals = data[self.fieldName][startMask]
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mask = np.ones(len(vals), dtype=bool)
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otherMask = np.ones(len(vals), dtype=bool)
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for c in self:
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key = c.maskValue
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if key == '__other__':
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m = ~otherMask
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else:
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m = vals != key
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otherMask &= m
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if c.value() is False:
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mask &= m
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startMask[startMask] = mask
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return startMask
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def describe(self):
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vals = [ch.name() for ch in self if ch.value() is True]
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return "%s: %s" % (self.fieldName, ', '.join(vals))
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def updateFilter(self, opts):
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self.setEnumVals(opts)
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def setEnumVals(self, opts):
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vals = opts.get('values', {})
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prevState = {}
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for ch in self.children():
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prevState[ch.name()] = ch.value()
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self.removeChild(ch)
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if not isinstance(vals, dict):
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vals = OrderedDict([(v,(str(v), True)) for v in vals])
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# Each filterable value can come with either (1) a string name, (2) a bool
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# indicating whether the value is enabled by default, or (3) a tuple providing
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# both.
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for val,valopts in vals.items():
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if isinstance(valopts, bool):
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enabled = valopts
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vname = str(val)
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elif isinstance(valopts, basestring):
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enabled = True
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vname = valopts
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elif isinstance(valopts, tuple):
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vname, enabled = valopts
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ch = ptree.Parameter.create(name=vname, type='bool', value=prevState.get(vname, enabled))
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ch.maskValue = val
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self.addChild(ch)
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ch = ptree.Parameter.create(name='(other)', type='bool', value=prevState.get('(other)', True))
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ch.maskValue = '__other__'
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self.addChild(ch)
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