def __init__(self,
ds='',
ini=100.,
auto=False,
num=20,
start=-1,
method='mean',
ds_x='',
suppress_messageboxes=False):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset('ds', 'Dataset to configure', default=ds),
plugins.FieldFloat('ini', 'Initial dimension value', default=ini),
plugins.FieldBool('auto',
'OR, automatic calculation based of fist points',
default=auto),
plugins.FieldInt('start', 'Consider 100% at X=', default=start),
plugins.FieldInt('num',
'Number of point to use in auto-calc',
default=num),
plugins.FieldCombo('method',
'Method for auto-calc',
default=method,
items=('linear-regression', 'mean')),
plugins.FieldDataset('ds_x',
'X Dataset for linear regression',
default=ds_x),
plugins.FieldBool('suppress_messageboxes',
'Suppress confirmation message boxes',
default=suppress_messageboxes)
]
def __init__(self,
d='',
T='',
std='NIST-SRM738',
start=50,
end=50,
label=True,
add=True):
"""Make list of fields."""
self.fields = [
plugins.FieldDataset("d", descr=_("Expansion dataset"), default=d),
plugins.FieldDataset("T",
descr=_("Temperature dataset"),
default=T),
plugins.FieldCombo("std",
descr=_("Calibraiton Standard"),
items=standards.keys(),
default=std),
plugins.FieldFloat('start',
descr=_('First temperature margin'),
default=start),
plugins.FieldFloat('end',
descr=_('Last temperature margin'),
default=end),
plugins.FieldBool('label',
_('Draw calibration label'),
default=label),
plugins.FieldBool('add',
_('Add calibration datasets'),
default=add),
]
def __init__(self, ds='', propagate=False, action='Invert', auto=True):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset('ds', 'Dataset to convert', default=ds),
plugins.FieldBool(
"propagate",
descr="Apply to all datasets sharing the same Y axis:",
default=propagate),
plugins.FieldCombo("action",
descr="Conversion mode:",
items=['Invert'],
default=action),
plugins.FieldBool("auto",
descr="Auto initial dimension",
default=auto)
]
def __init__(self):
"""Construct plugin."""
super().__init__()
self.mimedata = qt.QApplication.clipboard().mimeData()
#self.charts = []
self.fields = [
plugins.FieldText("text", descr="test", default="DEFAULT"),
plugins.FieldTextEdit("textedit", descr="test", default="DEFOFO"),
plugins.FieldWidget("parent_widget",
descr="Parent widget",
default=""),
plugins.FieldDataset('ds1',
descr="Dataset 1 to change",
default=''),
plugins.FieldDatasetMulti('ds1repl',
descr="Replacement(s) for dataset 1"),
plugins.FieldDataset('ds2',
descr="Dataset 2 to change (optional)",
default=''),
plugins.FieldDatasetMulti(
'ds2repl',
descr="Replacement(s) for dataset 2",
),
plugins.FieldBool("names",
descr="Build new names from datasets",
default=True),
]
def __init__(self):
"""Make list of fields."""
self.fields = [
# plugins.FieldWidget("widget", descr="Start from widget",
# default="/"),
# plugins.FieldMarker("markersearch", descr="Search for marker"),
# plugins.FieldMarker("markerreplace", descr="Replace with marker"),
plugins.FieldBool("character", descr="Plot character of bands")
]
def __init__(self, ax='', ay='', bx='', by='', relative=True, smooth=False, tolerance=10., operation='A-B', ds_out=''):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset('ay', 'Curve A: Y dataset', default=ay),
plugins.FieldDataset('ax', 'Curve A: X dataset', default=ax),
plugins.FieldDataset('by', 'Curve B: Y dataset', default=by),
plugins.FieldDataset('bx', 'Curve B: X dataset', default=bx),
# TODO: might support unlimited number of curves, thanks to numexpr
plugins.FieldText(
'operation', 'Operation to perform. ', default=operation),
plugins.FieldBool(
"relative", descr="Coincident start", default=relative),
plugins.FieldBool(
"smooth", descr="Smooth x data", default=smooth),
plugins.FieldFloat(
"tolerance", descr="X rectification tolerance", default=tolerance),
plugins.FieldDataset(
'ds_out', 'Output dataset name', default=ds_out)
]
self.error = 0
def __init__(self, dataset='Line Color', sample='Line Style', space=False):
"""Make list of fields."""
self.fields = [
plugins.FieldCombo("dataset",
descr="Datasets marking mode:",
items=defvars.keys(),
default=dataset),
plugins.FieldCombo("sample",
descr="Samples marking mode:",
items=defvars.keys(),
default=sample),
plugins.FieldBool("space",
descr="Axis positioning:",
default=space)
]
def __init__(self, ds='', propagate=False, convert='None'):
"""Define input fields for plugin."""
kgroup, f, p = units.get_unit_info(convert, units.from_base)
items = units.from_base.get(kgroup, {convert: lambda v: v}).keys()
self.fields = [
plugins.FieldDataset('ds', 'Dataset to convert', default=ds),
plugins.FieldCombo("convert",
descr="Convert to:",
items=items,
default=convert),
plugins.FieldBool(
"propagate",
descr="Apply to all datasets sharing the same Y axis:",
default=propagate),
]