def __init__(self,
ds_in='',
method='hanning',
window=5,
ds_out='',
end_index=0):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset('ds_in',
'Dataset to be smoothed',
default=ds_in),
plugins.FieldCombo('method',
'Smoothing method',
default=method,
items=('flat', 'hanning', 'hamming', 'bartlett',
'blackman', 'kaiser'),
editable=False),
plugins.FieldInt('window', 'Window length', default=window),
plugins.FieldInt('start_index', 'Start index', minval=0,
default=0),
plugins.FieldInt('end_index',
'End index (0 = last)',
minval=0,
default=end_index),
plugins.FieldDataset('ds_out',
'Output dataset name',
default=ds_out)
]
def __init__(self,
ds_in='',
T1=0,
V1=0,
T2=0,
V2=0,
T3=0,
V3=0,
ds_out=''):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset('ds_in', 'Temperature dataset',
default=ds_in),
plugins.FieldFloat('T1', 'First temperature value', default=T1),
plugins.FieldCombo('V1',
'First known viscosity value',
default=V1,
items=methods,
editable=True),
plugins.FieldFloat('T2', 'Second temperature value', default=T2),
plugins.FieldCombo('V2',
'Second known viscosity value',
default=V2,
items=methods,
editable=True),
plugins.FieldFloat('T3', 'Third temperature value', default=T3),
plugins.FieldCombo('V3',
'Third known viscosity value',
default=V3,
items=methods,
editable=True),
plugins.FieldDataset('ds_out',
'Output dataset name',
default=ds_out)
]
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,
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):
"""Make list of fields."""
self.fields = [
plugins.FieldWidget("widget", descr="Select graph", default="/"),
plugins.FieldDataset("xPos", descr="X coordinates for labels"),
plugins.FieldDataset("yPos", descr="Y coordinates for labels"),
plugins.FieldDataset("labels", descr="List of labels"),
]
def __init__(self, ds0='', T0='', E0=200, h0=2,
ds1='', T1='', E1=300, h1=1,
ds2='', T2='', E2=400, h2=5,
L0=80, num=100, ds_out='simflex'):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset(
'ds0', 'Top layer (L0) dilatation curve', default=ds0),
plugins.FieldDataset(
'T0', 'Top layer (L0) temperature curve', default=T0),
plugins.FieldFloat('E0', 'L0 Elasticity Modulus', default=E0),
plugins.FieldFloat('h0', 'L0 Thickness', default=h0),
plugins.FieldDataset(
'ds1', 'Second layer (L1) dilatation curve', default=ds1),
plugins.FieldDataset(
'T1', 'Second layer (L1) temperature curve', default=T1),
plugins.FieldFloat('E1', 'L1 Elasticity Modulus', default=E1),
plugins.FieldFloat('h1', 'L1 Thickness', default=h1),
plugins.FieldDataset(
'ds2', 'Third layer (L2) dilatation curve', default=ds2),
plugins.FieldDataset(
'T2', 'Third layer (L2) temperature curve', default=T2),
plugins.FieldFloat('E2', 'L2 Elasticity Modulus', default=E2),
plugins.FieldFloat('h2', 'L2 Thickness', default=h2),
plugins.FieldFloat(
'L0', 'Sample Starting length (rods inter-axis)', default=L0),
plugins.FieldInt(
'num', 'Number of flexure points to generate ', default=num),
plugins.FieldDataset(
'ds_out', 'Output dataset name', default=ds_out),
]
def __init__(self, curve='', x=''):
"""Make list of fields."""
self.fields = [
plugins.FieldWidget("curve",
descr="Curve:",
widgettypes=set(['xy']),
default=curve),
plugins.FieldDataset("x", descr="Colorize by:", default=x),
]
def __init__(self, ds_x='', ds_y='', start=50., percent=0., factor=1.,
reconfigure='Stop', smooth=5, smode='X and Y', linearize=150, ds_out='coeff'):
"""Define input fields for plugin."""
self.fields = [
plugins.FieldDataset('ds_x', 'X Dataset', default=ds_x),
plugins.FieldDataset('ds_y', 'Y Dataset', default=ds_y),
plugins.FieldFloat('start', 'Starting X value', default=start),
plugins.FieldFloat(
'percent', descr='Initial dimension', default=percent),
plugins.FieldFloat(
'factor', descr='Divide by', default=factor),
plugins.FieldCombo('reconfigure', descr='When cooling is found', items=[
'Restart', 'Stop'], default=reconfigure),
plugins.FieldInt('smooth', 'Smoothing Window', default=smooth),
plugins.FieldCombo('smode', descr='Apply Smoothing to', items=[
'X and Y', 'Y alone', 'Output'], default=smode),
plugins.FieldInt('linearize', 'Linearization window', default=linearize),
plugins.FieldDataset(
'ds_out', 'New output dataset name', default=ds_out),
]
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, 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, target=[], axis='X', val=0., search='Nearest (Fixed X)', searchRange=25, critical_x='',
text='Intercept\\\\%(xlabel)s=%(x).0f\\\\%(ylabel)s=%(y)E'):
"""Make list of fields."""
self.fields = [
plugins.FieldDatasetMulti(
"target", descr="Datasets whose curves to intercept", default=target),
plugins.FieldCombo(
"axis", descr="Intercept on X or Y axis", items=['X', 'Y'], default=axis),
plugins.FieldFloat('val', 'Value', default=val),
plugins.FieldCombo("search", descr="Place nearest", items=[
'Nearest (Fixed X)', 'Nearest', 'Maximum', 'Minimum', 'Inflection', 'Stationary', 'None'], default=search),
plugins.FieldFloat(
'searchRange', descr='Nearest search range', default=searchRange),
plugins.FieldDataset('critical_x',descr="Critical search X dataset", default=critical_x),
plugins.FieldText('text', 'Label text', default=text),
]
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),
]
