class DnDReorderListWidget(_QListWidget):
""" List widget with drag-n-drop reordering """
reordered = _pyqtSignal()
def __init__(self, parent):
super(DnDReorderListWidget, self).__init__(parent)
self.setAcceptDrops(True)
self.setEditTriggers(_QtWidgets.QAbstractItemView.NoEditTriggers)
self.setDragEnabled(True)
self.setDragDropMode(_QtWidgets.QAbstractItemView.InternalMove)
self.setDefaultDropAction(_QtCore.Qt.MoveAction)
self.setAlternatingRowColors(False)
self.setSelectionMode(_QtWidgets.QAbstractItemView.SingleSelection)
self.setObjectName("listWidgetDatasets")
item = _QtWidgets.QListWidgetItem()
self.addItem(item)
item = _QtWidgets.QListWidgetItem()
self.addItem(item)
self.setSortingEnabled(False)
item = self.item(0)
item.setText('A')
item = self.item(1)
item.setText('B')
def dropEvent(self, e):
super().dropEvent(e)
self.reordered.emit()
class AbstractPlotEffectPlugin(_QWidget):
parameters = {
'name' : 'Name',
'long_name' : 'Longer Name'
}
labels_orig = {
'x_label' : 'x',
'y_label' : 'y',
'title' : 'Original'
}
labels_affected = {
'x_label' : 'x',
'y_label' : 'y',
'title' : 'Affected'
}
changed = _pyqtSignal()
# def __init__(self):
# raise NotImplementedError
def fcn(self, data_in):
raise NotImplementedError
class widgetNothing(_QWidget):
"""
Plugin widget for PlotEffect subUI.
This plugin does nothing (i.e., it is a template and for demonstration \
purposes).
Software Info
--------------
Original Python branch: Feb 16 2015
author: ("Charles H Camp Jr")
email: ("*****@*****.**")
version: ("16.02.29")
"""
changed = _pyqtSignal()
def __init__(self, parent = None):
super(widgetNothing, self).__init__(parent) ### EDIT ###
self.ui = Ui_Nothing_Form() ### EDIT ###
self.ui.setupUi(self) ### EDIT ###
def fcn(self, data_in):
return data_in
class widgetNothing(_QWidget):
"""
Plugin widget for PlotEffect subUI.
This plugin does nothing (i.e., it is a template and for demonstration \
purposes).
"""
changed = _pyqtSignal()
def __init__(self, parent = None):
super(widgetNothing, self).__init__(parent) ### EDIT ###
self.ui = Ui_Nothing_Form() ### EDIT ###
self.ui.setupUi(self) ### EDIT ###
def fcn(self, data_in):
return data_in
class TableModelLines(_AbstractTableModelMpl):
"""
Signals
-------
dataSeleted : int, int
Row, id of plot
"""
_HEADERS = [
'Color', 'Alpha', 'LineWidth', 'LineStyle', 'Marker', 'Marker Size',
'Label', 'Delete'
]
_COL_COLOR = _HEADERS.index('Color')
_COL_ALPHA = _HEADERS.index('Alpha')
_COL_LINEWIDTH = _HEADERS.index('LineWidth')
_COL_LINESTYLE = _HEADERS.index('LineStyle')
_COL_MARKER = _HEADERS.index('Marker')
_COL_MARKERSIZE = _HEADERS.index('Marker Size')
_COL_LABEL = _HEADERS.index('Label')
_COL_DELETE = _HEADERS.index('Delete')
# _COL_ID = _HEADERS.index('ID')
dataDeleted = _pyqtSignal(int, float)
def __init__(self, parent=None):
super(_QAbstractTableModel, self).__init__(parent)
self.headers = TableModelLines._HEADERS
self._model_data = []
def rowCount(self, parent=_QModelIndex()):
return len(self._model_data)
def columnCount(self, parent=_QModelIndex()):
return len(self.headers)
def headerData(self, col, orientation, role):
if orientation == _Qt.Horizontal and role == _Qt.DisplayRole:
return self.headers[col]
return _QVariant()
def doubleClickCheck(self, index):
col = index.column()
if col == TableModelLines._COL_COLOR: # Color
self.changeColor(index)
elif col == TableModelLines._COL_DELETE: # Delete?
self.deleteData(index)
def deleteData(self, index):
self.setData(index, True)
def changeColor(self, index):
row = index.row()
color = self._model_data[row]['color']
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
result = _QColorDialog.getColor(qcolor)
if _QColor.isValid(result):
self.setData(index, result.getRgb())
else:
return None
def data(self, index, role=_Qt.DisplayRole):
if not index.isValid() or not 0 <= index.row() < self.rowCount():
return _QVariant()
row = index.row()
col = index.column()
if role == _Qt.DisplayRole:
if col == TableModelLines._COL_COLOR:
return str(round_list(self._model_data[row]['color']))
elif col == TableModelLines._COL_ALPHA:
return str(self._model_data[row]['alpha'])
elif col == TableModelLines._COL_LINEWIDTH:
return str(self._model_data[row]['linewidth'])
elif col == TableModelLines._COL_LINESTYLE:
ls = self._model_data[row]['linestyle']
return str(MplLines.LINESTYLE_DICT[ls])
elif col == TableModelLines._COL_MARKER:
mk = self._model_data[row]['marker']
return str(MplMarkers.MARKER_DICT[mk])
elif col == TableModelLines._COL_MARKERSIZE:
return str(self._model_data[row]['markersize'])
elif col == TableModelLines._COL_LABEL:
return str(self._model_data[row]['label'])
elif col == TableModelLines._COL_DELETE:
return ''
elif role == _Qt.DecorationRole:
if col == TableModelLines._COL_COLOR:
color = self._model_data[row]['color']
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
elif col == TableModelLines._COL_DELETE:
color = [1, 0, 0]
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
else:
pass
else:
return _QVariant()
def setData(self, index, value, role=_Qt.EditRole):
if role == _Qt.EditRole:
row = index.row()
col = index.column()
if col == TableModelLines._COL_COLOR:
color_255 = value[0:-1]
color = [
round(color_255[0] / 255, 2),
round(color_255[1] / 255, 2),
round(color_255[2] / 255, 2)
]
self._model_data[row]['color'] = color
# self.colorChanged.emit(row)
elif col == TableModelLines._COL_ALPHA:
self._model_data[row]['alpha'] = float(value)
elif col == TableModelLines._COL_LINEWIDTH:
self._model_data[row]['linewidth'] = float(value)
elif col == TableModelLines._COL_LINESTYLE:
self._model_data[row]['linestyle'] = value
elif col == TableModelLines._COL_MARKER:
self._model_data[row]['marker'] = value
elif col == TableModelLines._COL_MARKERSIZE:
self._model_data[row]['markersize'] = float(value)
elif col == TableModelLines._COL_LABEL:
self._model_data[row]['label'] = value
elif col == TableModelLines._COL_DELETE:
if value:
out = self._model_data.pop(row)
self.layoutChanged.emit()
self.dataDeleted.emit(row, out['id'])
self.dataChanged.emit(index, index)
def flags(self, index):
flag = super(_QAbstractTableModel, self).flags(index)
return flag | _Qt.ItemIsEditable
class TableModelImages(_AbstractTableModelMpl):
_HEADERS = [
'Cmap', 'Alpha', 'Clim Low', 'Clim High', 'Label', 'Colorbar', 'Delete'
]
_COL_CMAP = _HEADERS.index('Cmap')
_COL_ALPHA = _HEADERS.index('Alpha')
_COL_CLIM_LOW = _HEADERS.index('Clim Low')
_COL_CLIM_HIGH = _HEADERS.index('Clim High')
_COL_CBAR = _HEADERS.index('Colorbar')
_COL_LABEL = _HEADERS.index('Label')
_COL_DELETE = _HEADERS.index('Delete')
dataDeleted = _pyqtSignal(int, float)
def __init__(self, parent=None):
super(_QAbstractTableModel, self).__init__(parent)
self.headers = TableModelImages._HEADERS
self._model_data = []
def rowCount(self, parent=_QModelIndex()):
return len(self._model_data)
def columnCount(self, parent=_QModelIndex()):
return len(self.headers)
def headerData(self, col, orientation, role):
if orientation == _Qt.Horizontal and role == _Qt.DisplayRole:
return self.headers[col]
return _QVariant()
def doubleClickCheck(self, index):
col = index.column()
# if col == TableModelImages._COL_CMAP: # CMAP
# self.changeColor(index)
if col == TableModelImages._COL_DELETE: # Delete?
self.deleteData(index)
def deleteData(self, index):
self.setData(index, True)
def data(self, index, role=_Qt.DisplayRole):
if not index.isValid() or not 0 <= index.row() < self.rowCount():
return _QVariant()
row = index.row()
col = index.column()
if role == _Qt.DisplayRole:
if col == TableModelImages._COL_CMAP:
return str(self._model_data[row]['cmap_name'])
elif col == TableModelImages._COL_ALPHA:
return str(self._model_data[row]['alpha'])
elif col == TableModelImages._COL_CLIM_LOW:
return str(self._model_data[row]['clim_low'])
elif col == TableModelImages._COL_CLIM_HIGH:
return str(self._model_data[row]['clim_high'])
elif col == TableModelImages._COL_CBAR:
# print('1')
return str(self._model_data[row]['colorbar'])
elif col == TableModelImages._COL_LABEL:
return str(self._model_data[row]['label'])
elif col == TableModelImages._COL_DELETE:
return ''
elif role == _Qt.DecorationRole:
if col == TableModelImages._COL_DELETE:
color = [1, 0, 0]
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
else:
return _QVariant()
def setData(self, index, value, role=_Qt.EditRole):
if role == _Qt.EditRole:
row = index.row()
col = index.column()
if col == TableModelImages._COL_CMAP:
self._model_data[row]['cmap_name'] = value
elif col == TableModelImages._COL_ALPHA:
self._model_data[row]['alpha'] = float(value)
elif col == TableModelImages._COL_CLIM_LOW:
self._model_data[row]['clim_low'] = float(value)
elif col == TableModelImages._COL_CLIM_HIGH:
self._model_data[row]['clim_high'] = float(value)
elif col == TableModelImages._COL_CBAR:
# print('2')
self._model_data[row]['colorbar'] = bool(value)
elif col == TableModelImages._COL_LABEL:
self._model_data[row]['label'] = value
elif col == TableModelImages._COL_DELETE:
if value:
out = self._model_data.pop(row)
self.layoutChanged.emit()
self.dataDeleted.emit(row, out['id'])
self.dataChanged.emit(index, index)
def flags(self, index):
flag = super(_QAbstractTableModel, self).flags(index)
return flag | _Qt.ItemIsEditable
class TableModelFillBetween(_AbstractTableModelMpl):
_HEADERS = ['Facecolor',
'Alpha',
'Edgecolor',
'LineWidth',
'Label',
'Delete']
_COL_FACECOLOR = _HEADERS.index('Facecolor')
_COL_ALPHA = _HEADERS.index('Alpha')
_COL_EDGECOLOR = _HEADERS.index('Edgecolor')
_COL_LINEWIDTH = _HEADERS.index('LineWidth')
_COL_LABEL = _HEADERS.index('Label')
_COL_DELETE = _HEADERS.index('Delete')
dataDeleted = _pyqtSignal(int, float)
def __init__(self, parent=None):
super(_QAbstractTableModel, self).__init__(parent)
self.headers = TableModelFillBetween._HEADERS
self._model_data = []
def rowCount(self, parent=_QModelIndex()):
"""
Return row count of table view
"""
return len(self._model_data)
def columnCount(self, parent=_QModelIndex()):
"""
Return col count of table view
"""
return len(self.headers)
def headerData(self, col, orientation, role):
"""
Basic horizontal header with no special role
"""
if orientation == _Qt.Horizontal and role == _Qt.DisplayRole:
return self.headers[col]
return _QVariant()
def doubleClickCheck(self, index):
"""
Double-clicking certain columns has special effects. In this case,
the color change columns and the delete column
"""
col = index.column()
if (col == TableModelFillBetween._COL_FACECOLOR or
col == TableModelFillBetween._COL_EDGECOLOR):
# Face- or EdgeColor
self.changeColor(index)
elif col == TableModelFillBetween._COL_DELETE: # Delete?
self.deleteData(index)
def deleteData(self, index):
self.setData(index, True)
def changeColor(self, index):
row = index.row()
col = index.column()
if col == TableModelFillBetween._COL_FACECOLOR:
color = self._model_data[row]['facecolor']
else:
color = self._model_data[row]['edgecolor']
# from [0,1] -> [0,255] color scale
color_256 = [color[0]*255, color[1]*255, color[2]*255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
result = _QColorDialog.getColor(qcolor)
if _QColor.isValid(result):
self.setData(index, result.getRgb())
else:
return None
def data(self, index, role=_Qt.DisplayRole):
if not index.isValid() or not 0 <= index.row() < self.rowCount():
return _QVariant()
row = index.row()
col = index.column()
if role == _Qt.DisplayRole:
if col == TableModelFillBetween._COL_FACECOLOR:
return str(self._model_data[row]['facecolor'])
elif col == TableModelFillBetween._COL_ALPHA:
return str(self._model_data[row]['alpha'])
elif col == TableModelFillBetween._COL_EDGECOLOR:
return str(self._model_data[row]['edgecolor'])
elif col == TableModelFillBetween._COL_LINEWIDTH:
return str(self._model_data[row]['linewidth'])
elif col == TableModelFillBetween._COL_LABEL:
return str(self._model_data[row]['label'])
elif col == TableModelFillBetween._COL_DELETE:
return ''
elif role == _Qt.DecorationRole:
if (col == TableModelFillBetween._COL_FACECOLOR or
col == TableModelFillBetween._COL_EDGECOLOR):
if col == TableModelFillBetween._COL_FACECOLOR:
color = self._model_data[row]['facecolor']
elif col == TableModelFillBetween._COL_EDGECOLOR:
color = self._model_data[row]['edgecolor']
color_256 = [color[0]*255, color[1]*255, color[2]*255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
elif col == TableModelFillBetween._COL_DELETE:
color = [1, 0, 0]
color_256 = [color[0]*255, color[1]*255, color[2]*255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
else:
return _QVariant()
else:
return _QVariant()
def setData(self, index, value, role=_Qt.EditRole):
if role == _Qt.EditRole:
row = index.row()
col = index.column()
if col == TableModelFillBetween._COL_FACECOLOR:
color_255 = value[0:-1]
color = [round(color_255[0]/255, 2),
round(color_255[1]/255, 2),
round(color_255[2]/255, 2)]
self._model_data[row]['facecolor'] = color
elif col == TableModelFillBetween._COL_EDGECOLOR:
color_255 = value[0:-1]
color = [round(color_255[0]/255, 2),
round(color_255[1]/255, 2),
round(color_255[2]/255, 2)]
self._model_data[row]['edgecolor'] = color
elif col == TableModelFillBetween._COL_ALPHA:
self._model_data[row]['alpha'] = float(value)
elif col == TableModelFillBetween._COL_LINEWIDTH:
self._model_data[row]['linewidth'] = float(value)
elif col == TableModelFillBetween._COL_LABEL:
self._model_data[row]['label'] = value
elif col == TableModelFillBetween._COL_DELETE:
if value:
out = self._model_data.pop(row)
self.layoutChanged.emit()
self.dataDeleted.emit(row, out['id'])
self.dataChanged.emit(index, index)
def flags(self, index):
flag = super(_QAbstractTableModel, self).flags(index)
return flag | _Qt.ItemIsEditable
class widgetCalibrate(_QWidget):
"""
This plugin widget provides calibration functionality.
"""
DEFAULT_N_PIX = 1600
DEFAULT_CTR_WL = 730.0
DEFAULT_CTR_WL0 = 730.0
DEFAULT_A_VEC = (-0.167740721307557, 863.8736708961577)
DEFAULT_PROBE = 771.461
DEFAULT_MEAS = 1004.0
CALIB_DICT = {'n_pix' : DEFAULT_N_PIX, 'ctr_wl' : DEFAULT_CTR_WL,
'ctr_wl0' : DEFAULT_CTR_WL0, 'a_vec' : DEFAULT_A_VEC,
'probe' : DEFAULT_PROBE}
changed = _pyqtSignal()
def __init__(self, calib_dict=None, parent = None):
super(widgetCalibrate, self).__init__(parent) ### EDIT ###
self.ui = Ui_Calibrate_Form() ### EDIT ###
self.ui.setupUi(self) ### EDIT ###
if calib_dict is None:
self.calib_dict = self.CALIB_DICT
else:
self.calib_dict = calib_dict
if isinstance(self.calib_dict['a_vec'], tuple):
self.calib_dict['a_vec'] = list(self.calib_dict['a_vec'])
self.new_calib_dict = _copy.deepcopy(self.calib_dict)
self.updateUI()
self.WN, _ = _calib_pix_wn(self.calib_dict)
self.WN_2, _ = _calib_pix_wn(self.new_calib_dict)
# self.WN, self.WL, _ = _make_freq_vector(self.calib_dict)
# self.WN_2, self.WL_2, _ = _make_freq_vector(self.new_calib_dict)
self.ui.spinBoxMeas.setValue(self.DEFAULT_MEAS)
self.ui.spinBoxCorrect.setValue(self.DEFAULT_MEAS)
self.meas = self.DEFAULT_MEAS
self.correct = self.DEFAULT_MEAS
self.ui.spinBoxCorrect.editingFinished.connect(self.calcCalibDict)
self.ui.spinBoxMeas.editingFinished.connect(self.calcCalibDict)
def fcn(self, data_in):
"""
Performs the KK.
Parameters
----------
data : list
data[0] : Wavenumber vector
data[1] : NRB spectrum(a)
data[2] : CARS spectrum(a)
Returns
-------
out : np.array
Imaginary component the of KK-retrieved spectrum(a)
See also
--------
crikit.process.phase_retr, crikit.process.maths.kk
"""
if data_in.ndim == 1:
spl = _UnivariateSpline(self.WN_2, data_in, s=0, ext=0)
output = spl(self.WN)
elif data_in.ndim == 2:
output = _np.zeros(data_in.shape)
for num, spect in enumerate(data_in):
spl = _UnivariateSpline(self.WN_2, spect, s=0, ext=0)
output[num,:] = spl(self.WN)
return output
#return data_in
def calcCalibDict(self):
"""
(Re)-Calculate calibration dictionary components and recalculate \
wavenumber/wavelength vector
"""
self.meas = self.ui.spinBoxMeas.value()
self.correct = self.ui.spinBoxCorrect.value()
delta_lambda = 1/(((self.correct)/1e7) + 1/self.calib_dict['probe']) - \
1/(((self.meas)/1e7) + 1/self.calib_dict['probe'])
self.new_calib_dict['a_vec'][1] = self.calib_dict['a_vec'][1] + delta_lambda
self.WN_2, _ = _calib_pix_wn(self.new_calib_dict)
self.updateUI()
self.changed.emit()
def updateUI(self):
# Set calibration values
self.ui.spinBoxNPix.setValue(self.calib_dict['n_pix'])
self.ui.spinBoxNPix_2.setValue(self.new_calib_dict['n_pix'])
self.ui.spinBoxCenterWL.setValue(self.calib_dict['ctr_wl'])
self.ui.spinBoxCenterWL_2.setValue(self.new_calib_dict['ctr_wl'])
self.ui.spinBoxCalibWL.setValue(self.calib_dict['ctr_wl0'])
self.ui.spinBoxCalibWL_2.setValue(self.new_calib_dict['ctr_wl0'])
self.ui.spinBoxSlope.setValue(self.calib_dict['a_vec'][0])
self.ui.spinBoxSlope_2.setValue(self.new_calib_dict['a_vec'][0])
self.ui.spinBoxIntercept.setValue(self.calib_dict['a_vec'][1])
self.ui.spinBoxIntercept_2.setValue(self.new_calib_dict['a_vec'][1])
self.ui.spinBoxProbeWL.setValue(self.calib_dict['probe'])
self.ui.spinBoxProbeWL_2.setValue(self.new_calib_dict['probe'])
class widgetSG(_QWidget):
"""
Plugin widget for PlotEffect subUI.
This performs the Savitky-Golay filtering
Attributes
----------
win_size : int
Window size
order : int
Order (polynomial)
Methods
---------
fcn : Performs the Savitky-Golay
Signals:
changed : a value in the UI has changed
References
----------
[1] C. H. Camp Jr, Y. J. Lee, and M. T. Cicerone, "Quantitative,
Comparable Coherent Anti-Stokes Raman Scattering (CARS)
Spectroscopy: Correcting Errors in Phase Retrieval"
"""
changed = _pyqtSignal()
# WIN_SIZE = 601 # Window size
# ORDER = 2 # Order
def __init__(self, win_size=601, order=2, parent = None):
super(widgetSG, self).__init__(parent) ### EDIT ###
self.ui = Ui_SG_Form() ### EDIT ###
self.ui.setupUi(self) ### EDIT ###
self.win_size = win_size
self.order = order
# Window size must be > order
if self.win_size <= self.order:
self.win_size = self.order + 1
# Window size must be odd
if self.win_size%2 == 1:
pass
else:
self.win_size += 1
self.ui.spinBoxWinSize.setValue(self.win_size)
self.ui.spinBoxOrder.setValue(self.order)
self.ui.spinBoxWinSize.valueChanged.connect(self.changeWinSize)
self.ui.spinBoxOrder.valueChanged.connect(self.changeOrder)
def fcn(self, data_in):
baseline = _sg(data_in, window_length=self.win_size, polyorder=self.order, axis=-1)
data_out = data_in - baseline
return data_out
def changeWinSize(self):
temp_win_size = self.ui.spinBoxWinSize.value()
if temp_win_size%2 == 1:
self.win_size = temp_win_size
else:
self.ui.spinBoxWinSize.setValue(temp_win_size+1)
self.win_size = temp_win_size+1
self.changed.emit()
def changeOrder(self):
self.order = self.ui.spinBoxOrder.value()
self.changed.emit()
class widgetALS(_QWidget):
"""
Plugin widget for PlotEffect subUI.
This performs detrending with the asymmetric least squares algorithms
Attributes
----------
p : float
ALS asymmetry parameter
lam : float
ALS smoothness parameter
redux : int
Methods
---------
fcn : Performs the Asymmetric Least Squares
Signals:
changed : a value in the UI has changed
Notes
-----
Please cite the C. H. Camp Jr., et al. reference (below) if you
use this software.
References
----------
[1] C. H. Camp Jr, Y. J. Lee, and M. T. Cicerone, "Quantitative,
Comparable Coherent Anti-Stokes Raman Scattering (CARS)
Spectroscopy: Correcting Errors in Phase Retrieval"
[2] P. H. C. Eilers, "A perfect smoother," Anal. Chem. 75,
3631-3636 (2003).
[3] P. H. C. Eilers and H. F. M. Boelens, "Baseline correction with
asymmetric least squares smoothing," Report. October 21, 2005.
"""
changed = _pyqtSignal()
P_VAL = 1e-3 # Asymmetry
LAMBDA_VAL = 1 # Smothness
REDUX = 10 # Interpolation step size (pixels)
def __init__(self, parent = None):
super(widgetALS, self).__init__(parent) ### EDIT ###
self.ui = Ui_ALS_Form() ### EDIT ###
self.ui.setupUi(self) ### EDIT ###
self.ui.spinBoxP.setValue(self.P_VAL)
self.ui.spinBoxLambda.setValue(self.LAMBDA_VAL)
self.ui.spinBoxRedux.setValue(self.REDUX)
self.p = self.P_VAL
self.lam = self.LAMBDA_VAL
self.redux = self.REDUX
self.ui.spinBoxP.valueChanged.connect(self.changeP)
self.ui.spinBoxLambda.valueChanged.connect(self.changeLambda)
self.ui.spinBoxRedux.valueChanged.connect(self.changeRedux)
def fcn(self, data_in):
data_out = _np.zeros(data_in.shape)
if data_in.ndim == 1:
baseline = _als(data_in, redux_factor=self.redux,
redux_full=False,
smoothness_param=self.lam,
asym_param=self.p)[0]
data_out = data_in - baseline
else:
for num, spectrum in enumerate(data_in):
baseline = _als(spectrum, redux_factor=self.redux,
redux_full=False, smoothness_param=self.lam,
asym_param=self.p, print_iteration=False)[0]
data_out[num,:] = spectrum - baseline
return data_out
def changeP(self):
self.p = self.ui.spinBoxP.value()
self.changed.emit()
def changeLambda(self):
self.lam = self.ui.spinBoxLambda.value()
self.changed.emit()
def changeRedux(self):
self.redux = self.ui.spinBoxRedux.value()
self.changed.emit()
class widgetKK(_QWidget):
"""
Plugin widget for PlotEffect subUI.
This plugin performs the Kramers-Kronig (KK) relation phase retrieval.
Attributes
----------
nrb_norm : bool
Normalize by the NRB flag
cars_bias : (int, float)
Constant added to the input CARS spectrum(a)
nrb_bias : (int, float)
Constant added to the input NRB spectrum(a)
phaselin : (int, float)
Constant phase correction to the retrieved phase
phasesig1 : (int, float)
For sigmoidal phase correction, the is the starting phase
phasesig2 : (int, float)
For sigmoidal phase correction, the is the ending phase
sigrate : (int, float)
For sigmoidal phase correction, this is the rate of change from \
phasesig1 to phasesig2
pad_factor : int
Padding factor to use with the KK algorithm
phase_type : str
Global phase addition type: 'linear' or 'sigmoidal'
Methods
---------
fcn : Performs the KK
Signals :
changed : a value in the UI has changed
"""
changed = _pyqtSignal()
NRB_NORM = True
PHASE_TYPE = 'Linear'
CARS_BIAS = 0
NRB_BIAS = 0
PHASELIN = 0
PHASESIG1 = 0
PHASESIG2 = 0
SIGRATE = 1
PADFACTOR = 1
def __init__(self, parent = None):
super(widgetKK, self).__init__(parent) ### EDIT ###
self.ui = Ui_KK_Form() ### EDIT ###
self.ui.setupUi(self) ### EDIT ###
self.setupKK()
def setupKK(self):
self.ui.checkBoxNRBNorm.setChecked(self.NRB_NORM)
self.nrb_norm = self.NRB_NORM
self.ui.spinBoxCARSBias.setValue(self.CARS_BIAS)
self.ui.sliderCARSBias.setValue(self.CARS_BIAS)
self.cars_bias = self.CARS_BIAS
self.ui.spinBoxNRBBias.setValue(self.NRB_BIAS)
self.ui.sliderNRBBias.setValue(self.NRB_BIAS)
self.nrb_bias = self.NRB_BIAS
self.ui.spinBoxPhaseLin.setValue(self.PHASELIN)
self.ui.sliderPhaseLin.setValue(self.PHASELIN)
self.phaselin = self.PHASELIN
self.ui.spinBoxSigPhase1.setValue(self.PHASESIG1)
self.ui.sliderSigPhase1.setValue(self.PHASESIG1)
self.phasesig1 = self.PHASESIG1
self.ui.spinBoxSigPhase2.setValue(self.PHASESIG2)
self.ui.sliderSigPhase2.setValue(self.PHASESIG2)
self.phasesig2 = self.PHASESIG2
self.ui.spinBoxSigRate.setValue(self.SIGRATE)
self.ui.sliderSigRate.setValue(self.SIGRATE)
self.sigrate = self.SIGRATE
self.ui.spinBoxPadFactor.setValue(self.PADFACTOR)
self.pad_factor = self.PADFACTOR
if self.PHASE_TYPE.lower() == 'linear':
self.ui.tabWidget.setCurrentIndex(0)
self.phase_type = 'linear'
elif self.PHASE_TYPE.lower() == 'sigmoidal':
self.ui.tabWidget.setCurrentIndex(1)
self.phase_type = 'sigmoidal'
else:
self.ui.tabWidget.setCurrentIndex(0)
self.phase_type = 'linear'
# Signals-Slots
self.ui.sliderCARSBias.valueChanged.connect(self.changeSliderCARSBiasPre)
self.ui.sliderCARSBias.sliderReleased.connect(self.changeSliderCARSBiasFinal)
self.ui.spinBoxCARSBias.valueChanged.connect(self.changeSpinBoxCARSBias)
self.ui.sliderNRBBias.valueChanged.connect(self.changeSliderNRBBiasPre)
self.ui.sliderNRBBias.sliderReleased.connect(self.changeSliderNRBBiasFinal)
self.ui.spinBoxNRBBias.valueChanged.connect(self.changeSpinBoxNRBBias)
self.ui.sliderPhaseLin.valueChanged.connect(self.changeSliderPhaseLinPre)
self.ui.sliderPhaseLin.sliderReleased.connect(self.changeSliderPhaseLinFinal)
self.ui.spinBoxPhaseLin.valueChanged.connect(self.changeSpinBoxPhaseLin)
self.ui.sliderSigPhase1.valueChanged.connect(self.changeSliderSigPhase1Pre)
self.ui.sliderSigPhase1.sliderReleased.connect(self.changeSliderSigPhase1Final)
self.ui.spinBoxSigPhase1.valueChanged.connect(self.changeSpinBoxSigPhase1)
self.ui.sliderSigPhase2.valueChanged.connect(self.changeSliderSigPhase2Pre)
self.ui.sliderSigPhase2.sliderReleased.connect(self.changeSliderSigPhase2Final)
self.ui.spinBoxSigPhase2.valueChanged.connect(self.changeSpinBoxSigPhase2)
self.ui.sliderSigRate.valueChanged.connect(self.changeSliderSigRatePre)
self.ui.sliderSigRate.sliderReleased.connect(self.changeSliderSigRateFinal)
self.ui.spinBoxSigRate.valueChanged.connect(self.changeSpinBoxSigRate)
self.ui.spinBoxPadFactor.valueChanged.connect(self.changeSpinBoxPadFactor)
self.ui.checkBoxNRBNorm.clicked.connect(self.changeCheckBoxNRBNorm)
self.ui.checkBoxLockBias.clicked.connect(self.changeCheckBoxLockBias)
self.ui.radioButtonPhaseLin.clicked.connect(self.changeRadioPhaseLin)
self.ui.radioButtonPhaseSig.clicked.connect(self.changeRadioPhaseSig)
# Disabled sigmoidal phase correction for now
self.ui.radioButtonPhaseSig.setEnabled(False)
self.ui.sliderNRBBias.setEnabled(False)
self.ui.spinBoxNRBBias.setEnabled(False)
self.ui.sliderCARSBias.sliderReleased.connect(self.sliderBiasLock)
self.ui.spinBoxCARSBias.valueChanged.connect(self.spinBoxBiasLock)
def fcn(self, data_in):
"""
Performs the KK.
Parameters
----------
data : list
data[0] : Wavenumber vector
data[1] : NRB spectrum(a)
data[2] : CARS spectrum(a)
Returns
-------
out : np.array
Imaginary component the of KK-retrieved spectrum(a)
See also
--------
crikit.process.phase_retr, crikit.process.maths.kk
"""
assert isinstance(data_in, list), 'KK plot effect fcn requires the data input be a list with length 3: WN, NRB, CARS'
out = _kk(data_in[1] + self.nrb_bias, data_in[2] +
self.cars_bias, phase_offset=self.phaselin*_np.pi/360,
norm_by_bg=self.nrb_norm, pad_factor=self.pad_factor)
return out.imag
def changeSliderCARSBiasPre(self):
self.ui.spinBoxCARSBias.setValue(self.ui.sliderCARSBias.value())
self.cars_bias = self.ui.sliderCARSBias.value()
self.changed.emit()
def changeSliderCARSBiasFinal(self):
self.ui.spinBoxCARSBias.setValue(self.ui.sliderCARSBias.value())
self.cars_bias = self.ui.sliderCARSBias.value()
self.changed.emit()
def changeSpinBoxCARSBias(self):
self.ui.sliderCARSBias.setValue(self.ui.spinBoxCARSBias.value())
self.cars_bias = self.ui.spinBoxCARSBias.value()
self.changed.emit()
def changeSliderNRBBiasPre(self):
self.ui.spinBoxNRBBias.setValue(self.ui.sliderNRBBias.value())
self.nrb_bias = self.ui.sliderNRBBias.value()
self.changed.emit()
def changeSliderNRBBiasFinal(self):
self.ui.spinBoxNRBBias.setValue(self.ui.sliderNRBBias.value())
self.nrb_bias = self.ui.sliderNRBBias.value()
self.changed.emit()
def changeSpinBoxNRBBias(self):
self.ui.sliderNRBBias.setValue(self.ui.spinBoxNRBBias.value())
self.nrb_bias = self.ui.spinBoxNRBBias.value()
self.changed.emit()
def changeSliderPhaseLinPre(self):
self.ui.spinBoxPhaseLin.setValue(self.ui.sliderPhaseLin.value())
self.phaselin = self.ui.sliderPhaseLin.value()
self.changed.emit()
def changeSliderPhaseLinFinal(self):
self.ui.spinBoxPhaseLin.setValue(self.ui.sliderPhaseLin.value())
self.phaselin = self.ui.sliderPhaseLin.value()
self.changed.emit()
def changeSpinBoxPhaseLin(self):
self.ui.sliderPhaseLin.setValue(self.ui.spinBoxPhaseLin.value())
self.phaselin = self.ui.spinBoxPhaseLin.value()
self.changed.emit()
def changeSliderSigPhase1Pre(self):
self.ui.spinBoxSigPhase1.setValue(self.ui.sliderSigPhase1.value())
self.phasesig1 = self.ui.sliderSigPhase1.value()
self.changed.emit()
def changeSliderSigPhase1Final(self):
self.ui.spinBoxSigPhase1.setValue(self.ui.sliderSigPhase1.value())
self.phasesig1 = self.ui.sliderSigPhase1.value()
self.changed.emit()
def changeSpinBoxSigPhase1(self):
self.ui.sliderSigPhase1.setValue(self.ui.spinBoxSigPhase1.value())
self.phasesig1 = self.ui.spinBoxSigPhase1.value()
self.changed.emit()
def changeSliderSigPhase2Pre(self):
self.ui.spinBoxSigPhase2.setValue(self.ui.sliderSigPhase2.value())
self.phasesig2 = self.ui.sliderSigPhase2.value()
self.changed.emit()
def changeSliderSigPhase2Final(self):
self.ui.spinBoxSigPhase2.setValue(self.ui.sliderSigPhase2.value())
self.phasesig2 = self.ui.sliderSigPhase2.value()
self.changed.emit()
def changeSpinBoxSigPhase2(self):
self.ui.sliderSigPhase2.setValue(self.ui.spinBoxSigPhase2.value())
self.phasesig2 = self.ui.spinBoxSigPhase2.value()
self.changed.emit()
def changeSliderSigRatePre(self):
self.ui.spinBoxSigRate.setValue(self.ui.sliderSigRate.value())
self.sigrate = self.ui.sliderSigRate.value()
self.changed.emit()
def changeSliderSigRateFinal(self):
self.ui.spinBoxSigRate.setValue(self.ui.sliderSigRate.value())
self.sigrate = self.ui.sliderSigRate.value()
self.changed.emit()
def changeSpinBoxSigRate(self):
self.ui.sliderSigRate.setValue(self.ui.spinBoxSigRate.value())
self.sigrate = self.ui.spinBoxSigRate.value()
self.changed.emit()
def changeCheckBoxLockBias(self):
if self.ui.checkBoxLockBias.isChecked():
self.ui.sliderNRBBias.setEnabled(False)
self.ui.spinBoxNRBBias.setEnabled(False)
self.ui.sliderCARSBias.sliderReleased.connect(self.sliderBiasLock)
self.ui.spinBoxCARSBias.valueChanged.connect(self.spinBoxBiasLock)
self.sliderBiasLock()
self.spinBoxBiasLock()
else:
self.ui.sliderNRBBias.setEnabled(True)
self.ui.spinBoxNRBBias.setEnabled(True)
self.ui.sliderCARSBias.sliderReleased.disconnect(self.sliderBiasLock)
self.ui.spinBoxCARSBias.valueChanged.disconnect(self.spinBoxBiasLock)
self.changed.emit()
def sliderBiasLock(self):
self.ui.sliderNRBBias.setValue(self.ui.sliderCARSBias.value())
self.nrb_bias = self.ui.sliderCARSBias.value()
self.changed.emit()
def spinBoxBiasLock(self):
self.ui.spinBoxNRBBias.setValue(self.ui.spinBoxCARSBias.value())
self.nrb_bias = self.ui.sliderCARSBias.value()
self.changed.emit()
def changeCheckBoxNRBNorm(self):
if self.ui.checkBoxNRBNorm.isChecked():
self.nrb_norm = True
else:
self.nrb_norm = False
self.changed.emit()
def changeRadioPhaseLin(self):
self.phase_type = 'linear'
self.ui.tabWidget.setCurrentIndex(0)
def changeRadioPhaseSig(self):
self.phase_type = 'sigmoidal'
self.ui.tabWidget.setCurrentIndex(1)
def changeSpinBoxPadFactor(self):
self.pad_factor = self.ui.spinBoxPadFactor.value()
self.changed.emit()
class SciPlotUI(_QMainWindow):
"""
Scientific plotting user-interface for creating publication-quality plots
and images
Parameters
----------
limit_to : list, optional (default = None)
Limit the application to implement only certain functionality. \
Default is all elements turned ON. See Notes for options.
show : bool, optional (default = True)
Whether to show the UI upon instantiation
Methods
-------
plot : MPL-like plotting functionality
imshow : MPL-like imshow
bar : MPL-like bar plot EXCEPT centered (rather than left-edge defined)
hist : MPL-like histogram
fill_between : MPL-like fill_between
Internal Methods
----------------
updatePlotDataStyle : Make updates to plots (lines) when a stylistic \
change is made within the model-table
updatePlotDataDelete : Remove a plot when deleted from model-table
updateFillBetweenDataStyle : Make updates to fill between's when a \
stylistic change is made within the model-table
updateFillBetweenDataDelete : Remove a fill between when deleted from \
model-table
updateImagesDataStyle : Make updates to images when a stylistic \
change is made within the model-table
updateImageDataDelete : Remove an image when deleted from model-table
updateBarsDataStyle : Make updates to bars plots when a stylistic \
change is made within the model-table
updateBarsDataDelete : Remove a bar plot when deleted from model-table
refreshAllPlots : Delete all plots and re-plot
updateAllLabels : Update all labels (x-, y-, title, etc) on MPL widget, \
in model, in data container, and in UI lineEdits
updateLineEditLabels : Update all labels (x-, y-, title, etc) in UI \
lineEdits
updateDataLabels : Update all labels (x-, y-, title, etc) in data \
container
updateMplLabels : Update all labels (x-, y-, title, etc) on MPL widget
updateLabelsFromLineEdit : Update all labels (x-, y-, title, etc) on MPL \
widget, in model, and in data container. Edits came from lineEdits.
axisAspect : Set MPL-axis aspect ratio setting
axisScaling : Set MPL-axis scaling ratio setting
axisVisible : Set MPL-axis on or off
axisLimits : Set MPL-axis limits
updateAxisParameters : Query and update UI lineEdits related to axis \
properties such as limits, visibility (on/off), scaling, and aspect \
ratio
Notes
-----
* limit_to options: 'lines', 'fill betweens', 'bars', images'
"""
# Signal emitted when clearAll is called
# Added for external programs
all_cleared = _pyqtSignal(int)
def __init__(self, limit_to=None, parent=None, show=True):
self.__version__ = sciplot.__version__
self.list_ids = []
self.list_all = []
# There are a number of changes and deprectaion
# in MPL v2; thus, this will be tracked
# so MPL 1 and 2 can be used seemlessly
self._mpl_v2 = int(_mpl.__version__.rsplit('.')[0]) == 2
# Check to see if QApp already exists
# if not, one has to be created
self.app = None
if _QApplication.instance() is None:
print('\nNo QApplication instance (this is common with certain \
version of Matplotlib). Creating one.\n\r\
You will need to exec manually after you finish plotting.\n\
-----------Example---------------\n\
import sciplot\n\
sp = sciplot.main()\n\n\
# Plot a line\n\
sp.plot((0,1),(0,1))\n\n\
# Start the QApplication\n\
sp.app.exec_()')
self.app = _QApplication(_sys.argv)
self.app.setQuitOnLastWindowClosed(True)
self.setup(limit_to=limit_to, parent=parent)
if show:
self.show()
# if app is not None:
# # print('Here')
# if app.exec_():
# print('Here')
def closeEvent(self, event):
pass
def _tabAvailability(self, limit_to=None):
"""
If limit_to is provided, limits the tabs (elements) that are available.
May be useful for built-upon applications.
"""
if limit_to is None:
self.elements = ['lines', 'fill betweens', 'images', 'bars']
self._to_setup = [
self.setupLines, self.setupFillBetweens, self.setupImages,
self.setupBars
]
else:
self._to_setup = []
self.elements = []
if limit_to.count('lines'):
self.elements.append('lines')
self._to_setup.append(self.setupLines)
if limit_to.count('fill betweens'):
self.elements.append('fill betweens')
self._to_setup.append(self.setupFillBetweens)
if limit_to.count('images'):
self.elements.append('images')
self._to_setup.append(self.setupImages)
if limit_to.count('bars'):
self.elements.append('bars')
self._to_setup.append(self.setupBars)
def setupLines(self):
"""
Enable and setup line plotting
"""
# Enable line plotting
self.plot = self.__plot
self.updatePlotDataStyle = self.__updatePlotDataStyle
self.updatePlotDataDelete = self.__updatePlotDataDelete
# Initial and insert table view for line plots
self.tableViewLine = _QTableView()
self.ui.modelTabWidget.addTab(self.tableViewLine, 'Lines')
# Set model and delegates
# Lines
self.modelLine = _TableModelLines()
self.delegateLine = _EditDelegateLines()
self.tableViewLine.setModel(self.modelLine)
self.tableViewLine.setItemDelegate(self.delegateLine)
self.tableViewLine.show()
# RESIZE COLUMNS
header = self.tableViewLine.horizontalHeader()
# alpha
col = self.modelLine._COL_ALPHA
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewLine.setColumnWidth(col, new_width)
# linewidth
col = self.modelLine._COL_LINEWIDTH
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewLine.setColumnWidth(col, new_width)
# markersize
col = self.modelLine._COL_MARKERSIZE
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewLine.setColumnWidth(col, new_width)
# delete
col = self.modelLine._COL_DELETE
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewLine.setColumnWidth(col, new_width)
# SIGNALS AND SLOTS
# Make use of double-clicking within table
self.tableViewLine.doubleClicked.connect(
self.modelLine.doubleClickCheck)
# When a model (table) elements changes or is deleted
self.modelLine.dataChanged.connect(self.updatePlotDataStyle)
self.modelLine.dataDeleted.connect(self.updatePlotDataDelete)
# Export lines to csv
self.ui.actionExport_Lines_to_CSV.setVisible(True)
self.ui.actionExport_Lines_to_CSV.triggered.connect(
self.export_lines_csv)
def setupFillBetweens(self):
"""
Enable and setup fill between plotting
"""
# Enable fill_between plotting
self.fill_between = self.__fill_between
self.updateFillBetweenDataStyle = self.__updateFillBetweenDataStyle
self.updateFillBetweenDataDelete = self.__updateFillBetweenDataDelete
# Initial and insert table view for fill_between plots
self.tableViewFillBetween = _QTableView()
self.ui.modelTabWidget.addTab(self.tableViewFillBetween,
'Fill Between')
# Fill Between
self.modelFillBetween = _TableModelFillBetween()
self.delegateFillBetween = _EditDelegateFillBetween()
self.tableViewFillBetween.setModel(self.modelFillBetween)
self.tableViewFillBetween.setItemDelegate(self.delegateFillBetween)
self.tableViewFillBetween.show()
# RESIZE COLUMNS
header = self.tableViewFillBetween.horizontalHeader()
# alpha
col = self.modelFillBetween._COL_ALPHA
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewFillBetween.setColumnWidth(col, new_width)
# linewidth
col = self.modelFillBetween._COL_LINEWIDTH
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewFillBetween.setColumnWidth(col, new_width)
# delete
col = self.modelFillBetween._COL_DELETE
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewFillBetween.setColumnWidth(col, new_width)
# SIGNALS AND SLOTS
# Make use of double-clicking within table
self.tableViewFillBetween.doubleClicked.connect(
self.modelFillBetween.doubleClickCheck)
# When a model (table) elements changes or is deleted
self.modelFillBetween.dataChanged.connect(
self.updateFillBetweenDataStyle)
self.modelFillBetween.dataDeleted.connect(
self.updateFillBetweenDataDelete)
# Export fillbetweens to csv
self.ui.actionExport_Fill_Between_to_CSV.setVisible(True)
self.ui.actionExport_Fill_Between_to_CSV.triggered.connect(
self.export_fillbetweens_csv)
def setupImages(self):
"""
Enable and setup image plotting
"""
# Enable imaging
self.imshow = self.__imshow
self.updateImagesDataStyle = self.__updateImagesDataStyle
self.updateImagesDataDelete = self.__updateImagesDataDelete
# images data-- similar to plot_data above
# Initial and insert table view for images
self.tableViewImages = _QTableView()
self.ui.modelTabWidget.addTab(self.tableViewImages, 'Images')
# Images
self.modelImages = _TableModelImages()
self.delegateImages = _EditDelegateImages()
self.tableViewImages.setModel(self.modelImages)
self.tableViewImages.setItemDelegate(self.delegateImages)
self.tableViewImages.show()
# RESIZE COLUMNS
header = self.tableViewImages.horizontalHeader()
# alpha
col = self.modelImages._COL_ALPHA
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewImages.setColumnWidth(col, new_width)
# clim low
col = self.modelImages._COL_CLIM_LOW
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewImages.setColumnWidth(col, new_width)
# clim high
col = self.modelImages._COL_CLIM_HIGH
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewImages.setColumnWidth(col, new_width)
# delete
col = self.modelImages._COL_DELETE
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewImages.setColumnWidth(col, new_width)
# SIGNALS AND SLOTS
# Make use of double-clicking within table
self.tableViewImages.doubleClicked.connect(
self.modelImages.doubleClickCheck)
# When a model (table) elements changes or is deleted
self.modelImages.dataChanged.connect(self.updateImagesDataStyle)
self.modelImages.dataDeleted.connect(self.updateImagesDataDelete)
def setupBars(self):
"""
Enable and setup bar and histogram plotting
"""
# Enable bar plotting
self.bar = self.__bar
self.hist = self.__hist
self.updateBarsDataStyle = self.__updateBarsDataStyle
self.updateBarsDataDelete = self.__updateBarsDataDelete
# Initial and insert table view for bars
self.tableViewBars = _QTableView()
self.ui.modelTabWidget.addTab(self.tableViewBars, 'Bars')
# Bars/Bars
self.modelBars = _TableModelBars()
self.delegateBars = _EditDelegateBars()
self.tableViewBars.setModel(self.modelBars)
self.tableViewBars.setItemDelegate(self.delegateBars)
self.tableViewBars.show()
# RESIZE COLUMNS
header = self.tableViewBars.horizontalHeader()
# alpha
col = self.modelBars._COL_ALPHA
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewBars.setColumnWidth(col, new_width)
# linewidth
col = self.modelBars._COL_LINEWIDTH
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewBars.setColumnWidth(col, new_width)
# widthfactor
col = self.modelBars._COL_WIDTH_FACTOR
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewBars.setColumnWidth(col, new_width)
# delete
col = self.modelBars._COL_DELETE
new_width = int(1.1 * header.sectionSizeHint(col))
self.tableViewBars.setColumnWidth(col, new_width)
# SIGNALS AND SLOTS
# Make use of double-clicking within table
self.tableViewBars.doubleClicked.connect(
self.modelBars.doubleClickCheck)
# When a model (table) elements changes or is deleted
self.modelBars.dataChanged.connect(self.updateBarsDataStyle)
self.modelBars.dataDeleted.connect(self.updateBarsDataDelete)
# Export bars to csv
self.ui.actionExport_Bars_to_CSV.setVisible(True)
self.ui.actionExport_Bars_to_CSV.triggered.connect(
self.export_bars_csv)
def setup(self, limit_to=None, parent=None):
"""
Basic UI setup
"""
# Generic start to any pyQT program
super(SciPlotUI, self).__init__(parent)
self.ui = Ui_Plotter()
self.ui.setupUi(self)
self.setSizePolicy(_QSizePolicy.Expanding, _QSizePolicy.Expanding)
# Global "data" i.e., title, x-label, y-label, etc
self._global_data = _DataGlobal()
# MPL plot widget
self.mpl_widget = _MplCanvas(height=6, dpi=100)
# Hold is deprecated in MPL2
if not self._mpl_v2:
self.mpl_widget.ax.hold(True)
# Insert MPL widget and toolbar
self.ui.verticalLayout.insertWidget(0, self.mpl_widget)
self.ui.verticalLayout.insertWidget(0, self.mpl_widget.toolbar)
self.updateAxisParameters()
self.mpl_widget.draw()
# Insert TabWidget
self.ui.modelTabWidget = _QTabWidget()
self.ui.verticalLayout.insertWidget(-1, self.ui.modelTabWidget)
# Setup what tabs are available:
self._tabAvailability(limit_to)
for count in self._to_setup:
count()
# SIGNALS AND SLOTS
# Global labels
self.ui.lineEditTitle.editingFinished.connect(
self.updateLabelsFromLineEdit)
self.ui.lineEditXLabel.editingFinished.connect(
self.updateLabelsFromLineEdit)
self.ui.lineEditYLabel.editingFinished.connect(
self.updateLabelsFromLineEdit)
# Non-tracked (not saved) properties
self.ui.comboBoxAspect.currentIndexChanged.connect(self.axisAspect)
self.ui.comboBoxAxisScaling.currentIndexChanged.connect(
self.axisScaling)
self.ui.checkBoxAxisVisible.stateChanged.connect(self.axisVisible)
self.ui.lineEditXLimMin.editingFinished.connect(self.axisLimits)
self.ui.lineEditXLimMax.editingFinished.connect(self.axisLimits)
self.ui.lineEditYLimMin.editingFinished.connect(self.axisLimits)
self.ui.lineEditYLimMax.editingFinished.connect(self.axisLimits)
# Actions
self.ui.pushButtonClearAll.pressed.connect(self.clearAll)
self.ui.pushButtonDefaultView.pressed.connect(self.defaultView)
def __plot(self,
x,
y,
label=None,
x_label=None,
y_label=None,
meta={},
**kwargs):
"""
MPL-like plotting functionality
Parameters
----------
x : ndarray (1D)
X-axis data
y : ndarray (1D, for now)
Y-axis data
label : str
Label of plot
x_label : str
X-axis label (units)
y_label : str
Y-axis label (units)
kwargs : dict
Other parameters sent directly to mpl-plot
"""
# Temporary plot-data
plot_data = _DataLine()
plot_data.x = x
plot_data.y = y
plot_data.label = label
plot_data.meta = meta
plot_data.id = _time.time()
# Plot outputs a line object
plot_data.mplobj = self.mpl_widget.ax.plot(x, y, label=label, **kwargs)
try:
self.mpl_widget.ax.legend(loc='best')
except:
pass
# If labels are provided, update the global data and the linEdits
if x_label is not None or y_label is not None:
self.updateAllLabels(x_label=x_label, y_label=y_label)
self.mpl_widget.fig.tight_layout()
self.axisAspect()
self.mpl_widget.draw()
# Since the plot was not fed style-info (unless kwargs were used)
# we rely on the mpl stylesheet to setup color, linewidth, etc.
# Thus, we plot, then retrieve what the style info was
plot_data.retrieve_style_from_line(plot_data.mplobj[0])
# Append this specific plot data to out list of all plots
self.list_ids.append(plot_data.id)
self.list_all.append(plot_data)
# Update model
self.modelLine._model_data.append(plot_data.model_style)
self.modelLine.layoutChanged.emit()
def updateMplLabels(self, x_label=None, y_label=None, title=None):
"""
Within the MPL widget, update the x- and y-labels and the title
"""
if x_label is not None:
self.mpl_widget.ax.set_xlabel(x_label)
if y_label is not None:
self.mpl_widget.ax.set_ylabel(y_label)
if title is not None:
self.mpl_widget.ax.set_title(title)
self.mpl_widget.fig.tight_layout()
self.mpl_widget.draw()
def updateDataLabels(self, x_label=None, y_label=None, title=None):
"""
Within the global data container, update the x- and y-labels and the \
title
"""
if x_label is not None:
self._global_data.labels['x_label'] = x_label
if y_label is not None:
self._global_data.labels['y_label'] = y_label
if title is not None:
self._global_data.labels['title'] = title
def updateLineEditLabels(self, x_label=None, y_label=None, title=None):
"""
Within the pyQT lineEdit widgets, update the x- and y-labels and the \
title
"""
if x_label is not None:
self.ui.lineEditXLabel.setText(x_label)
if y_label is not None:
self.ui.lineEditYLabel.setText(y_label)
if title is not None:
self.ui.lineEditTitle.setText(title)
def updateAllLabels(self, x_label=None, y_label=None, title=None):
"""
Update the x- and y-labels and the title in the MPL widget, the \
lineEdit boxes, and the global data container
"""
self.updateMplLabels(x_label=x_label, y_label=y_label, title=title)
self.updateDataLabels(x_label=x_label, y_label=y_label, title=title)
self.updateLineEditLabels(x_label=x_label,
y_label=y_label,
title=title)
def updateLabelsFromLineEdit(self):
"""
From the linEdit widgets, update the x- and y-labels and the title \
in the MPL widget and the global data container
"""
title = None
x_label = None
y_label = None
sender = self.sender()
if sender == self.ui.lineEditTitle:
title = self.ui.lineEditTitle.text()
elif sender == self.ui.lineEditXLabel:
x_label = self.ui.lineEditXLabel.text()
elif sender == self.ui.lineEditYLabel:
y_label = self.ui.lineEditYLabel.text()
self.updateDataLabels(x_label=x_label, y_label=y_label, title=title)
self.updateMplLabels(x_label=x_label, y_label=y_label, title=title)
def __updatePlotDataStyle(self):
"""
Something style-related changed in the model; thus, need to change \
these elements in the plot data
"""
for num, style_info in enumerate(self.modelLine._model_data):
idx = self.list_ids.index(style_info['id'])
self.list_all[idx].model_style = style_info
self.refreshAllPlots()
def __updatePlotDataDelete(self, row, plt_id):
"""
A plot was deleted (likely from within the model); thus, need to \
remove the corresponding plot data
"""
try:
# print('Plot id: {}'.format(plt_id))
idx_to_remove = self.list_ids.index(plt_id)
self.list_ids.pop(idx_to_remove)
self.list_all.pop(idx_to_remove)
except:
print('Error in __updatePlotDataDelete: {}'.format(idx_to_remove))
self.refreshAllPlots()
def refreshAllPlots(self):
"""
Clear and re-plot all plot data of all types
"""
# Clear axis -- in the future, maybe clear figure and recreate axis
self.mpl_widget.ax.clear()
for itm in self.list_all:
if isinstance(itm, _DataLine):
# print('Line')
if not self._mpl_v2:
self.mpl_widget.ax.hold(True)
# Hide label if alpha=0
if itm.style_dict['alpha'] == 0:
label = None
else:
label = itm.label
itm.mplobj = self.mpl_widget.ax.plot(
itm.x,
itm.y,
label=label,
color=itm.style_dict['color'],
alpha=itm.style_dict['alpha'],
linewidth=itm.style_dict['linewidth'],
linestyle=itm.style_dict['linestyle'],
marker=itm.style_dict['marker'],
markersize=itm.style_dict['markersize'])
elif isinstance(itm, _DataBar):
# print('Bar')
if not self._mpl_v2:
self.mpl_widget.ax.hold(True)
# Hide label if alpha=0
if itm.style_dict['alpha'] == 0:
label = None
else:
label = itm.label
itm.mplobj = self.mpl_widget.ax.bar(
itm._left,
itm.y,
bottom=itm.bottom,
width=itm._width,
label=label,
facecolor=itm.style_dict['facecolor'],
alpha=itm.style_dict['alpha'],
edgecolor=itm.style_dict['edgecolor'],
linewidth=itm.style_dict['linewidth'])
elif isinstance(itm, _DataImages):
# print('Images')
if not self._mpl_v2:
self.mpl_widget.ax.hold(True)
# Hide label if alpha=0
if itm.style_dict['alpha'] == 0:
label = None
else:
label = itm.label
if itm.cbar['obj'] is not None:
try: # Have had some unknown exceptions with .remove()
itm.cbar['obj'].remove()
itm.cbar['obj'] = None
except:
pass
itm.mplobj = self.mpl_widget.ax.imshow(
itm.img,
label=label,
interpolation='none',
origin='lower',
cmap=_mpl.cm.cmap_d[itm.style_dict['cmap_name']],
alpha=itm.style_dict['alpha'],
clim=itm.style_dict['clim'])
if itm.cbar['show']:
itm.cbar['obj'] = self.mpl_widget.fig.colorbar(
itm.mplobj, use_gridspec=True)
elif isinstance(itm, _DataFillBetween):
# print('Fill Between')
if not self._mpl_v2:
self.mpl_widget.ax.hold(True)
# Hide label if alpha=0
if itm.style_dict['alpha'] == 0:
label = None
else:
label = itm.label
itm.mplobj = self.mpl_widget.ax.fill_between(
itm.x,
itm.y_low,
itm.y_high,
label=label,
facecolor=itm.style_dict['facecolor'],
edgecolor=itm.style_dict['edgecolor'],
alpha=itm.style_dict['alpha'],
linewidth=itm.style_dict['linewidth'])
else:
print('Unknown')
# Only add a legend if a plot exists
# Only certain objects provide labels
label_object_count = len(self.list_all)
if label_object_count > 0:
self.mpl_widget.ax.legend(loc='best')
# Apply x- and y-labels and a title if they are set
if self._global_data.labels['title'] is not None:
self.mpl_widget.ax.set_title(self._global_data.labels['title'])
if self._global_data.labels['x_label'] is not None:
self.mpl_widget.ax.set_xlabel(self._global_data.labels['x_label'])
if self._global_data.labels['y_label'] is not None:
self.mpl_widget.ax.set_ylabel(self._global_data.labels['y_label'])
self.mpl_widget.fig.tight_layout()
self.updateAxisParameters()
self.axisAspect()
self.mpl_widget.draw()
def __fill_between(self,
x,
y_low,
y_high,
label=None,
meta={},
x_label=None,
y_label=None,
**kwargs):
"""
MPL-like fill_between plotting functionality
Parameters
----------
x : ndarray (1D)
X-axis data
y_low : ndarray (1D, for now)
Low Y-axis data
y_high : ndarray (1D, for now)
High Y-axis data
label : str
Label of plot
x_label : str
X-axis label (units)
y_label : str
Y-axis label (units)
kwargs : dict
Other parameters sent directly to mpl-fill_between
"""
# Temporary fill_between-data
fill_between_data = _DataFillBetween()
fill_between_data.x = x
fill_between_data.y_low = y_low
fill_between_data.y_high = y_high
fill_between_data.label = label
fill_between_data.meta = meta
fill_between_data.id = _time.time()
# Fill between outputs a polycollection
fill_between_data.mplobj = self.mpl_widget.ax.fill_between(x,
y_low,
y_high,
label=label,
**kwargs)
self.mpl_widget.ax.legend(loc='best')
self.mpl_widget.fig.tight_layout()
self.axisAspect()
self.mpl_widget.draw()
# Since the fill_between was not fed style-info (unless kwargs were used)
# we rely on the mpl stylesheet to setup color, linewidth, etc.
# Thus, we plot, then retrieve what the style info was
fill_between_data.retrieve_style_from_polycollection(
fill_between_data.mplobj)
# Append this specific plot data to out list of all plots
self.list_ids.append(fill_between_data.id)
self.list_all.append(fill_between_data)
# Update model
self.modelFillBetween._model_data.append(fill_between_data.model_style)
self.modelFillBetween.layoutChanged.emit()
def __updateFillBetweenDataStyle(self):
"""
Something style-related changed in the model; thus, need to change \
these elements in the fill_between data
"""
for num, style_info in enumerate(self.modelFillBetween._model_data):
idx = self.list_ids.index(style_info['id'])
self.list_all[idx].model_style = style_info
self.refreshAllPlots()
def __updateFillBetweenDataDelete(self, row, plt_id):
"""
A plot was deleted (likely from within the model); thus, need to \
remove the corresponding plot data
"""
idx_to_remove = self.list_ids.index(plt_id)
self.list_ids.pop(idx_to_remove)
self.list_all.pop(idx_to_remove)
self.refreshAllPlots()
def __imshow(self,
img,
x=None,
y=None,
label=None,
meta={},
x_label=None,
y_label=None,
cbar=False,
**kwargs):
"""
MPL-like plotting functionality
Parameters
----------
img : ndarray (2D)
Image data
x : ndarray (1D)
X-axis data
y : ndarray (1D, for now)
Y-axis data
label : str
Label of plot
x_label : str
X-axis label (units)
y_label : str
Y-axis label (units)
cbar : bool
Attach a colorbar to the img
kwargs : dict
Other parameters sent directly to mpl-imshow
"""
# Temporary plot-data
image_data = _DataImages()
image_data.img = img
image_data.x = x
image_data.y = y
image_data.label = label
image_data.meta = meta
image_data.id = _time.time()
image_data.cbar['show'] = cbar
# Imshow outputs an image object
image_data.mplobj = self.mpl_widget.ax.imshow(img,
interpolation='None',
origin='lower',
label=label,
**kwargs)
if image_data.cbar['show']:
image_data.cbar['obj'] = self.mpl_widget.fig.colorbar(
image_data.mplobj, use_gridspec=True)
# self.mpl_widget.ax.legend(loc='best')
# If labels are provided, update the global data and the linEdits
if x_label is not None or y_label is not None:
self.updateAllLabels(x_label=x_label, y_label=y_label)
self.mpl_widget.fig.tight_layout()
self.axisAspect()
self.mpl_widget.draw()
# Since the image was not fed style-info (unless kwargs were used)
# we rely on the mpl stylesheet to setup cmap, etc.
# Thus, we plot, then retrieve what the style info was
image_data.retrieve_style_from_image(image_data.mplobj)
# Append this specific plot data to out list of all plots
self.list_ids.append(image_data.id)
self.list_all.append(image_data)
# Update model
self.modelImages._model_data.append(image_data.model_style)
self.modelImages.layoutChanged.emit()
def __updateImagesDataStyle(self):
"""
Something style-related changed in the model; thus, need to change \
these elements in the fill_between data
"""
for num, style_info in enumerate(self.modelImages._model_data):
idx = self.list_ids.index(style_info['id'])
self.list_all[idx].model_style = style_info
self.refreshAllPlots()
def __updateImagesDataDelete(self, row, plt_id):
"""
A plot was deleted (likely from within the model); thus, need to \
remove the corresponding plot data
"""
idx_to_remove = self.list_ids.index(plt_id)
self.list_ids.pop(idx_to_remove)
popd = self.list_all.pop(idx_to_remove)
if popd.cbar['obj'] is not None:
popd.cbar['obj'].remove()
# self.axisAspect()
self.refreshAllPlots()
def __bar(self,
x,
y,
bottom=0,
width_factor=1.0,
use_real_width=False,
label=None,
meta={},
x_label=None,
y_label=None,
**kwargs):
"""
MPL-like plotting functionality
Note
----
Unlike MPL bar, this method uses centered data. Thus, x is the center \
position of the bar
Parameters
----------
x : ndarray (1D)
X-axis data (center of bars)
y : ndarray (1D, for now)
Y-axis data (height)
bottom : float (for now)
Baseline of bars
width_factor: float
If legnth of y>1, fraction of space between bars taken up by bar \
(e.g. 1.0 leads to bars that tough). If y is a single-value OR \
use_real_width is True), is the width of the bar.
use_real_width : bool, optional (default=False):
If True, width_factor is the real width (in x-units)
label : str
Label of plot
x_label : str
X-axis label (units)
y_label : str
Y-axis label (units)
kwargs : dict
Other parameters sent directly to mpl-plot
"""
# Temporary plot-data
bar_data = _DataBar()
bar_data.x = x
bar_data.y = y
bar_data.bottom = bottom
bar_data.label = label
bar_data.meta = meta
bar_data.id = _time.time()
bar_data.style_dict['width_factor'] = width_factor
_multi_value = None
if isinstance(y, (int, float)):
_multi_value = False
if isinstance(y, _np.ndarray):
if y.size == 1:
_multi_value = False
else:
_multi_value = True
if isinstance(y, (list, tuple)):
if len(y) == 1:
_multi_value = False
else:
_multi_value = True
if _multi_value and use_real_width == False:
# Distance between bars
bar_data._gap = _np.abs(x[1] - x[0])
# Width of a bar is a fraction of the gap
bar_data._width = bar_data._gap * bar_data.style_dict[
'width_factor']
else:
# Single-valued: no gap
bar_data._gap = None
bar_data._width = width_factor
# MPL-bar uses left-edge rather than center
bar_data._left = bar_data.x - bar_data._width / 2
# Plot outputs a list of patch objects
bar_data.mplobj = self.mpl_widget.ax.bar(bar_data._left,
y,
bottom=bar_data.bottom,
width=bar_data._width,
label=label,
**kwargs)
self.mpl_widget.ax.legend(loc='best')
# If labels are provided, update the global data and the linEdits
if x_label is not None or y_label is not None:
self.updateAllLabels(x_label=x_label, y_label=y_label)
self.mpl_widget.fig.tight_layout()
self.axisAspect()
self.mpl_widget.draw()
# Since the plot was not fed style-info (unless kwargs were used)
# we rely on the mpl stylesheet to setup color, linewidth, etc.
# Thus, we plot, then retrieve what the style info was
bar_data.retrieve_style_from_bar(bar_data.mplobj[0])
# Append this specific plot data to out list of all plots
self.list_ids.append(bar_data.id)
self.list_all.append(bar_data)
# Update model
self.modelBars._model_data.append(bar_data.model_style)
self.modelBars.layoutChanged.emit()
# Note: New in MPL2, edgecolor is RGBA with A defaulting to 0
# (ie transparent, which Sciplot does not currently support).
self.refreshAllPlots()
def __hist(self,
data,
bins=10,
label=None,
meta={},
x_label=None,
y_label='Counts',
**kwargs):
"""
MPL-like histogram plotting
Parameters
----------
data : ndarray (1D, for now)
Data (center of bars)
bins : int
Number of histogram bins
label : str
Label of plot
x_label : str
X-axis label (units)
y_label : str
Y-axis label (units)
kwargs : dict
Other parameters sent directly to mpl-plot
"""
counts, lefts = _np.histogram(data, bins=bins)
gap = _np.abs(lefts[1] - lefts[0])
offset = gap / 2
self.bar(lefts[:-1] + offset,
counts,
width_factor=1.0,
label=label,
x_label=x_label,
y_label=y_label,
meta=meta,
**kwargs)
def __updateBarsDataStyle(self):
"""
Something style-related changed in the model; thus, need to change \
these elements in the fill_between data
"""
for num, style_info in enumerate(self.modelBars._model_data):
idx = self.list_ids.index(style_info['id'])
self.list_all[idx].model_style = style_info
self.refreshAllPlots()
def __updateBarsDataDelete(self, row, plt_id):
"""
A plot was deleted (likely from within the model); thus, need to \
remove the corresponding plot data
"""
idx_to_remove = self.list_ids.index(plt_id)
self.list_ids.pop(idx_to_remove)
self.list_all.pop(idx_to_remove)
self.refreshAllPlots()
def axisAspect(self):
"""
Set axis aspect ratio property
"""
aspect = self.ui.comboBoxAspect.currentText()
self.mpl_widget.ax.set_aspect(aspect)
self.mpl_widget.fig.tight_layout()
self.updateAxisParameters()
self.mpl_widget.draw()
def axisScaling(self):
"""
Set axis scaling property
"""
ratio = self.ui.comboBoxAxisScaling.currentText()
self.mpl_widget.ax.axis(ratio)
self.mpl_widget.fig.tight_layout()
self.updateAxisParameters()
self.mpl_widget.draw()
def axisVisible(self):
"""
Set whether axis is on or off
"""
state = self.ui.checkBoxAxisVisible.isChecked()
if state:
state = 'on'
else:
state = 'off'
self.mpl_widget.ax.axis(state)
self.mpl_widget.fig.tight_layout()
self.updateAxisParameters()
self.mpl_widget.draw()
def axisLimits(self):
"""
Set axis limits
"""
if self.sender() == self.ui.lineEditXLimMin:
value = float(self.ui.lineEditXLimMin.text())
self.mpl_widget.ax.axis(xmin=value)
elif self.sender() == self.ui.lineEditXLimMax:
value = float(self.ui.lineEditXLimMax.text())
self.mpl_widget.ax.axis(xmax=value)
elif self.sender() == self.ui.lineEditYLimMin:
value = float(self.ui.lineEditYLimMin.text())
self.mpl_widget.ax.axis(ymin=value)
elif self.sender() == self.ui.lineEditYLimMax:
value = float(self.ui.lineEditYLimMax.text())
self.mpl_widget.ax.axis(ymax=value)
self.mpl_widget.fig.tight_layout()
self.updateAxisParameters()
self.mpl_widget.draw()
def updateAxisParameters(self):
"""
Query current state of axis settings and update appropriate lineEdit's
"""
axis_visible = self.mpl_widget.ax.axison
self.ui.checkBoxAxisVisible.setChecked(axis_visible)
xmin, xmax, ymin, ymax = self.mpl_widget.ax.axis()
self.ui.lineEditXLimMin.setText(str(xmin))
self.ui.lineEditXLimMax.setText(str(xmax))
self.ui.lineEditYLimMin.setText(str(ymin))
self.ui.lineEditYLimMax.setText(str(ymax))
def defaultView(self):
"""
Set default and Home view to the current one
"""
self.mpl_widget.toolbar._views.clear()
self.mpl_widget.toolbar._positions.clear()
self.mpl_widget.toolbar.update()
def clearAllBars(self):
try:
self.modelBars._model_data = []
ids = self.list_bar_ids
for i in ids:
self.clearID(i)
self.modelBars.layoutChanged.emit()
except:
print('Error in clearAllBars')
def clearID(self, clear_id):
idx_to_remove = self.list_ids.index(clear_id)
self.list_ids.pop(idx_to_remove)
self.list_all.pop(idx_to_remove)
def clearAll(self):
"""
Clear all plots and graphs and images
"""
try:
self.modelLine._model_data = []
self.modelLine.layoutChanged.emit()
except:
print('Error in clear all of plots/lines')
try:
self.modelBars._model_data = []
self.modelBars.layoutChanged.emit()
except:
print('Error in clear all of bars')
try:
# Need to iterate as to check for colorbar existance
for num, model_data in enumerate(self.modelImages._model_data):
idx_to_remove = self.list_ids.index(model_data['id'])
self.list_ids.pop(idx_to_remove)
popd = self.list_all.pop(idx_to_remove)
if popd.cbar['obj'] is not None:
popd.cbar['obj'].remove()
self.modelImages._model_data = []
self.modelImages.layoutChanged.emit()
except:
print('Error in clear all of images')
try:
self.modelFillBetween._model_data = []
self.modelFillBetween.layoutChanged.emit()
except:
print('Error in clear all of fill-betweens')
try:
self.list_ids = []
self.list_all = []
except:
print('Error in clear all')
finally:
self.refreshAllPlots()
self.all_cleared.emit(id(self))
def export_bars_csv(self):
ret = _QFileDialog.getSaveFileName(
filter="Comma-Separated Values (*.csv);;All Files (*.*)")
if ret[0]:
# pth, fname = _os.path.split(ret[0])
with open(ret[0], 'w') as f:
for q in self.list_bar_objs:
f.write('{}\n'.format(q.label))
f.write('left,')
q._left.tofile(f, sep=',')
f.write('\nx,')
q.x.tofile(f, sep=',')
f.write('\ny,')
q.y.tofile(f, sep=',')
f.write('\n\n')
def export_lines_csv(self):
ret = _QFileDialog.getSaveFileName(
filter="Comma-Separated Values (*.csv);;All Files (*.*)")
if ret[0]:
# pth, fname = _os.path.split(ret[0])
with open(ret[0], 'w') as f:
for q in self.list_line_objs:
f.write('{}\n'.format(q.label))
f.write('x,')
q.x.tofile(f, sep=',')
f.write('\ny,')
q.y.tofile(f, sep=',')
f.write('\n\n')
def export_fillbetweens_csv(self):
ret = _QFileDialog.getSaveFileName(
filter="Comma-Separated Values (*.csv);;All Files (*.*)")
if ret[0]:
# pth, fname = _os.path.split(ret[0])
with open(ret[0], 'w') as f:
for q in self.list_fillbetween_objs:
f.write('{}\n'.format(q.label))
f.write('x,')
q.x.tofile(f, sep=',')
f.write('\ny_low,')
q.y_low.tofile(f, sep=',')
f.write('\ny_high,')
q.y_high.tofile(f, sep=',')
f.write('\n\n')
@property
def n_lines(self):
return sum(isinstance(x, _DataLine) for x in self.list_all)
@property
def n_bars(self):
return sum(isinstance(x, _DataBar) for x in self.list_all)
@property
def n_fillbetweens(self):
return sum(isinstance(x, _DataFillBetween) for x in self.list_all)
@property
def n_images(self):
return sum(isinstance(x, _DataImages) for x in self.list_all)
@property
def list_line_objs(self):
return [x for x in self.list_all if isinstance(x, _DataLine)]
@property
def list_line_ids(self):
return [x.id for x in self.list_all if isinstance(x, _DataLine)]
@property
def list_bar_objs(self):
return [x for x in self.list_all if isinstance(x, _DataBar)]
@property
def list_bar_ids(self):
return [x.id for x in self.list_all if isinstance(x, _DataBar)]
@property
def list_fillbetween_objs(self):
return [x for x in self.list_all if isinstance(x, _DataFillBetween)]
@property
def list_fillbetween_ids(self):
return [x.id for x in self.list_all if isinstance(x, _DataFillBetween)]
@property
def list_image_objs(self):
return [x for x in self.list_all if isinstance(x, _DataImages)]
@property
def list_image_ids(self):
return [x.id for x in self.list_all if isinstance(x, _DataImages)]
class TableModelBars(_AbstractTableModelMpl):
_HEADERS = [
'Facecolor', 'Alpha', 'Edgecolor', 'Line Width', 'Width Factor',
'Label', 'Delete'
]
_COL_FACECOLOR = _HEADERS.index('Facecolor')
_COL_ALPHA = _HEADERS.index('Alpha')
_COL_EDGECOLOR = _HEADERS.index('Edgecolor')
_COL_LINEWIDTH = _HEADERS.index('Line Width')
_COL_WIDTH_FACTOR = _HEADERS.index('Width Factor')
_COL_LABEL = _HEADERS.index('Label')
_COL_DELETE = _HEADERS.index('Delete')
# Emit row, plot ID
dataDeleted = _pyqtSignal(int, float)
def __init__(self, parent=None):
super(_QAbstractTableModel, self).__init__(parent)
self.headers = TableModelBars._HEADERS
self._model_data = []
def rowCount(self, parent=_QModelIndex()):
return len(self._model_data)
def columnCount(self, parent=_QModelIndex()):
return len(self.headers)
def headerData(self, col, orientation, role):
if orientation == _Qt.Horizontal and role == _Qt.DisplayRole:
return self.headers[col]
return _QVariant()
def doubleClickCheck(self, index):
col = index.column()
if (col == TableModelBars._COL_FACECOLOR
or col == TableModelBars._COL_EDGECOLOR): # Colors
self.changeColor(index)
elif col == TableModelBars._COL_DELETE: # Delete?
self.deleteData(index)
def deleteData(self, index):
self.setData(index, True)
def changeColor(self, index):
row = index.row()
col = index.column()
if col == TableModelBars._COL_FACECOLOR:
color = self._model_data[row]['facecolor']
elif col == TableModelBars._COL_EDGECOLOR:
color = self._model_data[row]['edgecolor']
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
result = _QColorDialog.getColor(qcolor)
if _QColor.isValid(result):
self.setData(index, result.getRgb())
else:
return None
def data(self, index, role=_Qt.DisplayRole):
if not index.isValid() or not 0 <= index.row() < self.rowCount():
return _QVariant()
row = index.row()
col = index.column()
if role == _Qt.DisplayRole:
if col == TableModelBars._COL_FACECOLOR:
return str(round_list(self._model_data[row]['facecolor']))
elif col == TableModelBars._COL_ALPHA:
return str(self._model_data[row]['alpha'])
elif col == TableModelBars._COL_EDGECOLOR:
return str(round_list(self._model_data[row]['edgecolor']))
elif col == TableModelBars._COL_LINEWIDTH:
return str(self._model_data[row]['linewidth'])
elif col == TableModelBars._COL_WIDTH_FACTOR:
return str(self._model_data[row]['width_factor'])
elif col == TableModelBars._COL_LABEL:
return str(self._model_data[row]['label'])
elif col == TableModelBars._COL_DELETE:
return ''
elif role == _Qt.DecorationRole:
if col == TableModelBars._COL_FACECOLOR:
color = self._model_data[row]['facecolor']
elif col == TableModelBars._COL_EDGECOLOR:
color = self._model_data[row]['edgecolor']
if (col == TableModelBars._COL_FACECOLOR
or col == TableModelBars._COL_EDGECOLOR):
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
elif col == TableModelBars._COL_DELETE:
color = [1, 0, 0]
color_256 = [color[0] * 255, color[1] * 255, color[2] * 255]
qcolor = _QColor(color_256[0], color_256[1], color_256[2])
pm = _QPixmap(20, 20)
pm.fill(qcolor)
icon = _QIcon(pm)
return icon
else:
pass
else:
return _QVariant()
def setData(self, index, value, role=_Qt.EditRole):
if role == _Qt.EditRole:
row = index.row()
col = index.column()
if (col == TableModelBars._COL_FACECOLOR
or col == TableModelBars._COL_EDGECOLOR):
color_255 = value[0:-1]
color = [
round(color_255[0] / 255, 2),
round(color_255[1] / 255, 2),
round(color_255[2] / 255, 2)
]
if col == TableModelBars._COL_FACECOLOR:
self._model_data[row]['facecolor'] = color
if col == TableModelBars._COL_EDGECOLOR:
self._model_data[row]['edgecolor'] = color
elif col == TableModelBars._COL_ALPHA:
self._model_data[row]['alpha'] = float(value)
elif col == TableModelBars._COL_LINEWIDTH:
self._model_data[row]['linewidth'] = float(value)
elif col == TableModelBars._COL_WIDTH_FACTOR:
self._model_data[row]['width_factor'] = float(value)
elif col == TableModelBars._COL_LABEL:
self._model_data[row]['label'] = value
elif col == TableModelBars._COL_DELETE:
if value:
out = self._model_data.pop(row)
self.layoutChanged.emit()
self.dataDeleted.emit(row, out['id'])
self.dataChanged.emit(index, index)
def flags(self, index):
flag = super(_QAbstractTableModel, self).flags(index)
return flag | _Qt.ItemIsEditable
