DataXY

class atompy.DataXY(x, y, title='', xlabel='', ylabel='', **plot_kwargs)

A class representing xy-data.

Parameters:

xarray_like

The histogram values, e.g., counts.

yarray_like

The edges of the histogram bins. Note that len(values) = len(edges) + 1

Note

If you want to initialize a Hist1d from centers instead of edges, use Hist1d.from_centers().

titlestr, default “”

Optional title of the data.

xlabelstr, default “”

Optional x-label of the data.

ylabelstr, default “”

Optional y-label of the data.

**plot_kwargs

Other keyword parameters will be stored in DataXY.plot_kwargs, which is used by DataXY.plot().

Attributes:

xndarray

x-data of the data set.

yndarray

y-data of the data set.

xytuple[ndarray, ndarray]

Tuple (x, y) data.

titlestr

Title of the data.

xlabelstr

X label of the data.

ylabelstr

Y label of the data.

plot_kwargsdict

Keyword arguments for matplotlib.pyplot.plot().

Methods

asarray([copy])	Return a 2d ndarray of the data.
copy()	Return a copy of data.
from_function(f, x[, title, xlabel, ylabel])	Instantiate from a function.
from_txt(fname[, data_layout, idx_x, idx_y, ...])	Initiate DataXY from a text file.
integrate()	Integrate data.
keep_x(xmin, xmax[, squeeze, ysetval])	Only keep data within [xmin, xmax).
keep_y(ymin, ymax[, squeeze, ysetval])	Only keep data within [ymin, ymax).
norm_to_integral()	Return the data normalized to DataXY.integrate().
norm_to_max()	Return the data normalized to DataXY.max().
norm_to_sum()	Return the data normalized to DataXY.sum().
plot([ax, fname, xlabel, ylabel, title, ...])	Plot the data using matplotlib.axes.Axes.plot().
remove_x(xmin, xmax[, squeeze, ysetval])	Remove data within [xmin, xmax).
remove_y(ymin, ymax[, squeeze, ysetval])	Remove data within [ymin, ymax).
sum()	Calculate sum of y values.
xlims()	Get (xmin, xmax).
xmax()	Get the maximum x-value.
xmin()	Get the minimum x-value.
ylims()	Get (ymin, ymax).
ymax()	Get the maximum y-value.
ymin()	Get the minimum y-value.