h5analysis.MathData.Object1dEXAFS

class h5analysis.MathData.Object1dEXAFS

Bases: Load1d

EXAFS processing provided by xraylarch integration

Methods

`add`()	This method is not defined
`background`()	This method is not defined
`calculate_autobk`(**kwargs)	Calculate the background
`calculate_xftf`(**kwargs)	Calculate the forward Fourier Transform
`evaluate`(x, y)	Evaluate the given expressions
`export`(filename[, split_files])	Export and write data to specified file.
`exportWidgetStep`()	Helper function for exporter widget.
`exporter`()	Interactive exporter widget.
`get_data`()	Make data available in memory as exported to file.
`hline`(pos, **kwargs)	Draw a horizontal line in the plot.
`label`(pos_x, pos_y, text, **kwargs)	Draw a text box in the plot.
`load`(obj, line, scan)	Loader for 1d object
`loadObj`()	This method is not defined
`plot`([linewidth, title, xlabel, ylabel, ...])	Plot all data assosciated with class instance/object.
`plot_legend`(pos)	Overwrite default legend position.
`save_plot`(fname, **kwargs)	Create a matplotlib plot window
`show_fluorescence`(element, siegbahn_symbol)	Draw a line in the plot for the requested fluorescence line.
`stitch`()	This method is not defined
`subtract`()	This method is not defined
`vline`(pos, **kwargs)	Draw a vertical line in the plot.
`xlim`(lower, upper)	Set x-axis limits applied to data stream.
`ylim`(lower, upper)	Set y-axis limits applied to data stream.

add(): This method is not defined

background(): This method is not defined

calculate_autobk(**kwargs)

Calculate the background

Parameters:: **kwargs – See autobk function from xraylarch package

calculate_xftf(**kwargs)

Calculate the forward Fourier Transform

Parameters:: **kwargs – See xftf function from xraylarch package

evaluate(x, y)

Evaluate the given expressions

Parameters:

x (string) – See xraylarch group for possible attributes; may apply math operations
y (string) – See xraylarch group for possible attributes; may apply math operations

export(filename, split_files=False)

Export and write data to specified file.

Parameters:

filename (string)
split_files (Boolean) – Sets whether scans are exported appended to one file (False), or separately (True)

exportWidgetStep(): Helper function for exporter widget.

exporter(): Interactive exporter widget.

get_data()

Make data available in memory as exported to file.

Returns:

dfT (pandas DataFrame) – All loaded data.
files (list) – List of all loaded files.

hline(pos, **kwargs)

Draw a horizontal line in the plot.

Parameters:

pos (float)
**kwargs (dict, optional) – See bokeh manual for available options.

label(pos_x, pos_y, text, **kwargs)

Draw a text box in the plot.

Parameters:

pos_x (float)
pos_y (float)
text (string)
**kwargs (dict, optional) – See bokeh manual for available options.

load(obj, line, scan)

Loader for 1d object

Parameters:

obj (object) – Loader object
line (int) – load, add, subtract line of object (indexing with 0)
scan (int) – number of the scan to be accessed

loadObj(): This method is not defined

plot(linewidth=4, title=None, xlabel=None, ylabel=None, ylabel_right=None, plot_height=450, plot_width=700, norm=False, waterfall=None, xprec=None, yprec=None, **kwargs)

Plot all data assosciated with class instance/object.

Parameters:

linewidth (int, optional)
title (string, optional)
xlabel (string, optional)
ylabel (string, optional)
ylabel_right (string, optional)
plot_height (int, optional)
plot_width (int, optional)
norm (boolean, optional) – Normalized plot output to [0,1]
waterfall (float) – Normalizes plot output to [0,1] and applies offset specified
xprec (int, optional) – Specifies the forced floating point X precision of the hover tool
yprec (int, optional) – Specifies the forced floating point Y precision of the hover tool
kwargs – all bokeh figure key-word arguments

plot_legend(pos)

Overwrite default legend position.

Parameters:: pos (string) – See bokeh manual for available options.

save_plot(fname, **kwargs)

Create a matplotlib plot window

fname: string

path and file name of the exported file

kwargs:

figsize: tuple: determines size of plot
x_minor_ticks: float: distance between minor ticks on primary axis
x_major_ticks: float: distance between major ticks on primary axis
y_minor_ticks: float: distance between minor ticks on secondary axis
y_major_ticks: float: distance between major ticks on secondary axis
top: Boolean: Display ticks on top of the plot
right: Boolean: Display ticks on the right of the plot
fontsize_axes: string or int: Set the fontsize of the axes ticks
fontsize_labels: string or int: Set fontsize of the axis labels
fontsize_title: string or int: Set fontsize of the title
title_pad: int: Padding between title and the top of the plot
xlabel: string: Label of the primary axis
ylabel: string: Label of the secondary axis
title: string: Title displayed at the top of the plot
xlim: tuple: Limits the visible x-range
ylim: tuple: Limits the visible y-range
legend: Boolean: Show/Hide plot legend
fontsize_legend: int: Fontsize of the legend entries
data_format: string, [pdf,svg,png]: Sets the output data format and matplotlib backend used

show_fluorescence(element, siegbahn_symbol, orientation='v', **kwargs)

Draw a line in the plot for the requested fluorescence line.

Parameters:

element (string) – IUPAC element abbreviation
siegbahn_symbol (string) – Siegbahn symbol for requested energy transition
orientation ([‘v’,’h’]) – Determines if a vertical or horizontal line is drawn
**kwargs (dict, optional) – See bokeh manual for available options.

stitch(): This method is not defined

subtract(): This method is not defined

vline(pos, **kwargs)

Draw a vertical line in the plot.

Parameters:

pos (float)
**kwargs (dict, optional) – See bokeh manual for available options.

xlim(lower, upper)

Set x-axis limits applied to data stream.

Parameters:

lower (float)
upper (float)

ylim(lower, upper)

Set y-axis limits applied to data stream.

Parameters:

lower (float)
upper (float)