damaris.data.MeasurementResult

class damaris.data.MeasurementResult(quantity_name: str)

__init__(quantity_name: str) → None

convenient accumulation and interface to plot functions

The dictionary must not contain anything but AccumulatedValue instances

Methods

__init__(quantity_name)	convenient accumulation and interface to plot functions
clear()
copy()
fromkeys(iterable[, value])
get(k[,d])
get_errorplotdata()
get_legend()	Returns the legend of the plot (Dictionary)
get_lineplotdata()
get_number_of_channels()	Returns the number of channels in y
get_style()	Returns a reference to plot-styles (dictionary)
get_text(index)	Returns labels to be plotted (List)
get_title()	Returns the title of the plot
get_xdata()	sorted array of all dictionary entries without Accumulated Value objects with n==0
get_xlabel()	Returns the label for the x-axis
get_xmax()	Returns maximum of x
get_xmin()	Returns minimun of x
get_xminpos()	Returns smallest positive value of x
get_xydata()
get_ydata([channel])	y data (mean values); the channel argument is accepted for compatibility with the Drawable interface, MeasurementResult is single-channel
get_ylabel()	Gets the label for the y-axis
get_ymax()	Returns maximimum of y
get_ymin()	Returns minimum of y
get_yminpos()	Returns smallest positive value of y
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
set_legend(channel, value)	Sets the legend of the plot
set_style(channel, value)	Sets a channel to a certain plot-style
set_text(index, text)	Sets labels to be plotted
set_title(title)	Sets the title of the plot
set_xdata(pos, value)	Sets a point in x
set_xlabel(label)	Sets the label for the x-axis
set_xmax(xmax)	Sets maximum of x
set_xmin(xmin)	Sets minimum of x
set_ydata(channel, pos, value)	Sets a point in y
set_ylabel(label)	Sets the label for the y-axis
set_ymax(ymax)	Sets maximum of y
set_ymin(ymin)	Sets minimum of y
setdefault(k[,d])
update([E, ]**F)	If E present and has a .keys() method, does: for k in E.keys(): D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
uses_statistics()	drawable interface method returns True
values()
write_to_csv([destination, delimiter])	writes the data to a file or to sys.stdout destination can be a file or a filename suitable for further processing
write_to_hdf(hdffile, where, name, title[, ...])