# GUI for Beginners¶

Some of the simplest functions of scqubits can be accessed through a graphical user interface. The utilization of the GUI class from a jupyter notebook starts with importing the scqubits library

[2]:

import scqubits as scq


To display the interface, simply run the following:

[3]:

scq.GUI()

[3]:




A reference to the Figure and Axes of the latest plot generated by the gui above is stored in a variable GUI.fig_ax, which can be easily accessed for further customization. For example:

[5]:

fig, ax = scq.GUI.fig_ax
ax.set_xlabel(r"charge offset $n_g$")
fig

[5]: