dataFitting

sans.guiframe.dataFitting

Adapters for fitting module

class sans.guiframe.dataFitting.Data1D

Bases: danse.common.plottools.plottables.Data1D, sans.dataloader.data_info.Data1D

__add__()

Add two data sets

Parameters:other – data set to add to the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__class__

alias of type

__delattr__

x.__delattr__(‘name’) <==> del x.name

__dict__ = <dictproxy object at 0x044B2450>

__div__()

Divided a data set by another

Parameters:other – data set that the current one is divided by Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__getattribute__

x.__getattribute__(‘name’) <==> x.name

__hash__

x.__hash__() <==> hash(x)

__init__()

__module__ = 'sans.guiframe.dataFitting'

__mul__()

Multiply two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

static __new__(S, ...) → a new object with type S, a subtype of T

__radd__()

Add two data sets

Parameters:other – data set to add to the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__rdiv__()

Divided a data set by another

Parameters:other – data set that the current one is divided by Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__reduce__()

helper for pickle

__reduce_ex__()

helper for pickle

__repr__

x.__repr__() <==> repr(x)

__rmul__()

Multiply two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__rsub__()

Subtract two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__setattr__()

Take care of changes in View when data is changed. This method is provided for backward compatibility.

__str__()

print data

__sub__()

Subtract two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__weakref__

list of weak references to the object (if defined)

_perform_operation()

_validity_check()

Checks that the data lengths are compatible. Checks that the x vectors are compatible. Returns errors vectors equal to original errors vectors if they were present or vectors of zeros when none was found.

Parameters:other – other data set for operation Returns:dy for self, dy for other [numpy arrays] Raises ValueError:  when lengths are not compatible

_xaxis = ''

_xunit = ''

_yaxis = ''

_yunit = ''

add_notes()

Add notes to datainfo

append_empty_process()

changed()

check_data_PlottableX()

Since no transformation is made for log10(x), check that no negative values is plot in log scale

check_data_PlottableY()

Since no transformation is made for log10(y), check that no negative values is plot in log scale

clone_without_data()

Clone the current object, without copying the data (which will be filled out by a subsequent operation). The data arrays will be initialized to zero.

Parameters:

• length – length of the data array to be initialized
• clone – if provided, the data will be copied to clone

collimation = None

colors()

Return the number of colors need to render the object

copy_from_datainfo()

copy values of Data1D of type DataLaoder.Data_info

custom_color = None

detector = None

dx = None

dxl = None

dxw = None

dy = None

errors = None

filename = ''

get_xaxis()

Return the units and name of x-axis

get_yaxis()

Return the units and name of y- axis

hidden = False

instrument = ''

interactive = True

is_empty()

Returns True if there is no data stored in the plottable

is_slit_smeared()

Check whether the data has slit smearing information

Returns:True is slit smearing info is present, False otherwise

classmethod labels()

Build a label mostly unique within a collection

markersize = 5

meta_data = None

name = None

notes = None

onFitRange()

It limits View data range to plot from min to max

Parameters:

• xmin – the minimum value of x to plot.
• xmax – the maximum value of x to plot

onReset()

Reset x, y, dx, dy view with its parameters

process = None

render()

Renders the plottable on the graph

reset_view()

Reload view with new value to plot

returnValuesOfView()

Return View parameters and it is used by Fit Dialog

run = None

run_name = None

sample = None

setLabel()

It takes a label of the x and y transformation and set View parameters

Parameters:

• transx – The label of x transformation is sent by Properties Dialog
• transy – The label of y transformation is sent Properties Dialog

set_View()

Load View

set_data()

short_name = None

source = None

title = ''

transformView()

It transforms x, y before displaying

transformX()

Receive pointers to function that transform x and dx and set corresponding View pointers

Parameters:

• transx – pointer to function that transforms x
• transdx – pointer to function that transforms dx

transformY()

Receive pointers to function that transform y and dy and set corresponding View pointers

Parameters:

• transy – pointer to function that transforms y
• transdy – pointer to function that transforms dy

x = None

x_unit = '1/A'

xaxis()

Set the name and unit of x_axis

Parameters:

• name – the name of x-axis
• units – the units of x_axis

y = None

y_unit = '1/cm'

yaxis()

Set the name and unit of y_axis

Parameters:

• name – the name of y-axis
• units – the units of y_axis

class sans.guiframe.dataFitting.Data2D

Bases: danse.common.plottools.plottables.Data2D, sans.dataloader.data_info.Data2D

I_unit = '1/cm'

Q_unit = '1/A'

__add__()

Add two data sets

Parameters:other – data set to add to the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__class__

alias of type

__delattr__

x.__delattr__(‘name’) <==> del x.name

__dict__ = <dictproxy object at 0x044B2DD0>

__div__()

Divided a data set by another

Parameters:other – data set that the current one is divided by Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__getattribute__

x.__getattribute__(‘name’) <==> x.name

__hash__

x.__hash__() <==> hash(x)

__init__()

__module__ = 'sans.guiframe.dataFitting'

__mul__()

Multiply two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

static __new__(S, ...) → a new object with type S, a subtype of T

__radd__()

Add two data sets

Parameters:other – data set to add to the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__rdiv__()

Divided a data set by another

Parameters:other – data set that the current one is divided by Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__reduce__()

helper for pickle

__reduce_ex__()

helper for pickle

__repr__

x.__repr__() <==> repr(x)

__rmul__()

Multiply two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__rsub__()

Subtract two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__setattr__()

Take care of changes in View when data is changed. This method is provided for backward compatibility.

__str__()

print data

__sub__()

Subtract two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__weakref__

list of weak references to the object (if defined)

_perform_operation()

Perform 2D operations between data sets

Parameters:

• other – other data set
• operation – function defining the operation

_validity_check()

Checks that the data lengths are compatible. Checks that the x vectors are compatible. Returns errors vectors equal to original errors vectors if they were present or vectors of zeros when none was found.

Parameters:other – other data set for operation Returns:dy for self, dy for other [numpy arrays] Raises ValueError:  when lengths are not compatible

_xaxis = ''

_xunit = ''

_yaxis = ''

_yunit = ''

_zaxis = ''

_zunit = ''

add_notes()

Add notes to datainfo

append_empty_process()

changed()

check_data_PlottableX()

Since no transformation is made for log10(x), check that no negative values is plot in log scale

check_data_PlottableY()

Since no transformation is made for log10(y), check that no negative values is plot in log scale

clone_without_data()

Clone the current object, without copying the data (which will be filled out by a subsequent operation). The data arrays will be initialized to zero.

Parameters:

• length – length of the data array to be initialized
• clone – if provided, the data will be copied to clone

collimation = None

colors()

Return the number of colors need to render the object

copy_from_datainfo()

copy value of Data2D of type DataLoader.data_info

custom_color = None

data = None

detector = None

dqx_data = None

dqy_data = None

dx = None

dy = None

err_data = None

errors = None

filename = ''

get_xaxis()

Return the units and name of x-axis

get_yaxis()

Return the units and name of y- axis

hidden = False

instrument = ''

interactive = True

is_empty()

Returns True if there is no data stored in the plottable

classmethod labels()

Build a label mostly unique within a collection

markersize = 5

mask = None

meta_data = None

name = None

notes = None

onFitRange()

It limits View data range to plot from min to max

Parameters:

• xmin – the minimum value of x to plot.
• xmax – the maximum value of x to plot

onReset()

Reset x, y, dx, dy view with its parameters

process = None

q_data = None

qx_data = None

qy_data = None

render()

Renders the plottable on the graph

reset_view()

Reload view with new value to plot

returnValuesOfView()

Return View parameters and it is used by Fit Dialog

run = None

run_name = None

sample = None

setLabel()

It takes a label of the x and y transformation and set View parameters

Parameters:

• transx – The label of x transformation is sent by Properties Dialog
• transy – The label of y transformation is sent Properties Dialog

setValues()

Use datainfo object to initialize data2D

Parameters:datainfo – object

set_View()

Load View

set_data()

set_zrange()

short_name = None

source = None

title = ''

transformView()

It transforms x, y before displaying

transformX()

Receive pointers to function that transform x and dx and set corresponding View pointers

Parameters:

• transx – pointer to function that transforms x
• transdx – pointer to function that transforms dx

transformY()

Receive pointers to function that transform y and dy and set corresponding View pointers

Parameters:

• transy – pointer to function that transforms y
• transdy – pointer to function that transforms dy

x = None

x_bins = None

xaxis()

set x-axis

Parameters:

• label – x-axis label
• unit – x-axis unit

xmax = None

xmin = None

y = None

y_bins = None

yaxis()

set y-axis

Parameters:

• label – y-axis label
• unit – y-axis unit

ymax = None

ymin = None

zaxis()

set z-axis

Parameters:

• label – z-axis label
• unit – z-axis unit

class sans.guiframe.dataFitting.Theory1D

Bases: danse.common.plottools.plottables.Theory1D, sans.dataloader.data_info.Data1D

__add__()

Add two data sets

Parameters:other – data set to add to the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__class__

alias of type

__delattr__

x.__delattr__(‘name’) <==> del x.name

__dict__ = <dictproxy object at 0x039C78D0>

__div__()

Divided a data set by another

Parameters:other – data set that the current one is divided by Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__getattribute__

x.__getattribute__(‘name’) <==> x.name

__hash__

x.__hash__() <==> hash(x)

__init__()

__module__ = 'sans.guiframe.dataFitting'

__mul__()

Multiply two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

static __new__(S, ...) → a new object with type S, a subtype of T

__radd__()

Add two data sets

Parameters:other – data set to add to the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__rdiv__()

Divided a data set by another

Parameters:other – data set that the current one is divided by Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__reduce__()

helper for pickle

__reduce_ex__()

helper for pickle

__repr__

x.__repr__() <==> repr(x)

__rmul__()

Multiply two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__rsub__()

Subtract two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__setattr__()

Take care of changes in View when data is changed. This method is provided for backward compatibility.

__str__()

print data

__sub__()

Subtract two data sets

Parameters:other – data set to subtract from the current one Returns:new data set Raises ValueError:  raised when two data sets are incompatible

__weakref__

list of weak references to the object (if defined)

_perform_operation()

_validity_check()

Checks that the data lengths are compatible. Checks that the x vectors are compatible. Returns errors vectors equal to original errors vectors if they were present or vectors of zeros when none was found.

Parameters:other – other data set for operation Returns:dy for self, dy for other [numpy arrays] Raises ValueError:  when lengths are not compatible

_xaxis = ''

_xunit = ''

_yaxis = ''

_yunit = ''

add_notes()

Add notes to datainfo

append_empty_process()

changed()

check_data_PlottableX()

Since no transformation is made for log10(x), check that no negative values is plot in log scale

check_data_PlottableY()

Since no transformation is made for log10(y), check that no negative values is plot in log scale

clone_without_data()

Clone the current object, without copying the data (which will be filled out by a subsequent operation). The data arrays will be initialized to zero.

Parameters:

• length – length of the data array to be initialized
• clone – if provided, the data will be copied to clone

collimation = None

colors()

Return the number of colors need to render the object

copy_from_datainfo()

copy values of Data1D of type DataLaoder.Data_info

custom_color = None

detector = None

dx = None

dxl = None

dxw = None

dy = None

errors = None

filename = ''

get_xaxis()

Return the units and name of x-axis

get_yaxis()

Return the units and name of y- axis

hidden = False

instrument = ''

interactive = True

is_empty()

Returns True if there is no data stored in the plottable

is_slit_smeared()

Check whether the data has slit smearing information

Returns:True is slit smearing info is present, False otherwise

classmethod labels()

Build a label mostly unique within a collection

markersize = 5

meta_data = None

name = None

notes = None

onFitRange()

It limits View data range to plot from min to max

Parameters:

• xmin – the minimum value of x to plot.
• xmax – the maximum value of x to plot

onReset()

Reset x, y, dx, dy view with its parameters

process = None

render()

reset_view()

Reload view with new value to plot

returnValuesOfView()

Return View parameters and it is used by Fit Dialog

run = None

run_name = None

sample = None

setLabel()

It takes a label of the x and y transformation and set View parameters

Parameters:

• transx – The label of x transformation is sent by Properties Dialog
• transy – The label of y transformation is sent Properties Dialog

set_View()

Load View

set_data()

short_name = None

source = None

title = ''

transformView()

It transforms x, y before displaying

transformX()

Receive pointers to function that transform x and dx and set corresponding View pointers

Parameters:

• transx – pointer to function that transforms x
• transdx – pointer to function that transforms dx

transformY()

Receive pointers to function that transform y and dy and set corresponding View pointers

Parameters:

• transy – pointer to function that transforms y
• transdy – pointer to function that transforms dy

x = None

x_unit = '1/A'

xaxis()

Set the name and unit of x_axis

Parameters:

• name – the name of x-axis
• units – the units of x_axis

y = None

y_unit = '1/cm'

yaxis()

Set the name and unit of y_axis

Parameters:

• name – the name of y-axis
• units – the units of y_axis

sans.guiframe.dataFitting.check_data_validity()

Return True is data is valid enough to compute chisqr, else False