circuit_visualize module

class circuit_visualize.CircuitMovie(circuit: pyjjasim.josephson_circuit.Circuit, animate_interval=10, node_data=None, arrow_data=None, face_data=None, vortex_data=None, vortex_diameter=0.25, vortex_color=(0, 0, 0), anti_vortex_color=(0.8, 0.1, 0.2), vortex_alpha=1, vortex_label='', _vortex_range=None, show_grid=True, grid_width=1, grid_color=(0.4, 0.5, 0.6), grid_alpha=0.5, show_colorbar=True, show_legend=True, legend_width_fraction=0.2, show_axes=True, axis_position=(0.1, 0.1, 0.85, 0.85), arrow_width=0.005, arrow_scale=1, arrow_headwidth=3, arrow_headlength=3.5, arrow_headaxislength=3, arrow_minshaft=1, arrow_minlength=1, arrow_color=(0.15, 0.3, 0.8), arrow_alpha=1, arrow_label='', show_nodes=True, node_diameter=0.25, node_face_color=(1, 1, 1), node_edge_color=(0, 0, 0), nodes_as_voronoi=False, node_alpha=1, node_quantity_cmap=None, node_quantity_clim=None, node_quantity_alpha=1, node_quantity_logarithmic_colors=False, node_label='', face_quantity_cmap=None, face_quantity_clim=None, face_quantity_alpha=1, face_quantity_logarithmic_colors=False, face_label='', figsize=None, title='', fig=None)

Animation of circuit where the quantities evolve over time.

Allows one to show node quantities, arrow quantities, face quantities and vortices.

• Node quantities are shown as colors on the nodes.

• Arrow quantities are displayed at the junctions and the length of the arrows is proportional to the quantity value.

• Face quantities are shown as colors on the faces.

• Vortices are displayed by symbols (concentric rings, vorticity equals nr of rings, color shows sign).

Base class used by circuit_visualize.TimeEvolutionMovie, where one can specify what physical quantities to display in the circuit.

Parameters

circuitjosephson_circuit.Circuit

Object representing circuit.

animate_intervalscalar

Frame delay in ms.

node_data=None(Nn, time_points) array or (Nn,) array or None

Data associated with nodes in circuit. Can be visualized as colors. If None, node data is not visualized. Time independent if shape (Nn,).

arrow_data=None(Nj, time_points) array or (Nj,) array or None

Data associated with junctions in circuit. Can be visualized as arrows. where the length corresponds with the magnitude of the data. If None, arrow data is not visualized. Time independent if shape (Nj,).

face_data=None(Nf, time_points) array or (Nf,) array or None

Data associated with faces in circuit. Can be visualized as colors. If None, face data is not visualized. Time independent if shape (Nf,).

vortex_data=None(Nf, time_points) int array or (Nf,) int array or None

Integer data associated with faces in circuit. Can be visualized as circular symbols. The value of the data equals the number of concentric rings of the symbol. The color shows if it is + or -. If None, vortex data is not visualized. Time independent if shape (Nf,).

vortex_diameter=0.25float

Diameter of vortex symbols.

vortex_color=(0, 0, 0)color

Color of vortex symbols.

anti_vortex_color=(0.8, 0.1, 0.2)color

Color of anti-vortex symbols, whose data is negative.

vortex_alpha=1float

Transparency of vortex symbols.

vortex_label=””str

Label given to vortex data in legend.

show_grid=Truebool

Display a grid at the edges of the graph.

grid_width=1float

Width of lines of grid.

grid_color=(0.4, 0.5, 0.6)color

Color of grid.

grid_alpha=0.5float

Transparency of grid.

show_colorbar=Truebool

Show colorbar mapping face and/or node data to colors.

show_legend=Truebool

Show legend which includes colormaps, explanation of vortex sybols and an arrow scale.

legend_width_fraction=0.2float

Fraction of the width of the axes (as specified by axis_position) dedicated to the legend; if it is shown.

show_axes=Truebool

If True, shows axes with the coordinates of the circuit.

axis_position=(0.1, 0.1, 0.85, 0.85)array_like

Position of axis in figure (x0, y0, dx, dy, between 0 and 1)

arrow_width=0.005float

Width of arrows.

arrow_scale=1float

Scale-factor for arrows. (length of arrow = arrow_scale * arrow_data)

arrow_headwidth=3float

Width of head of arrows. (see matplotlib.quiver)

arrow_headlength=3.5float

Length of head of arrows. (see matplotlib.quiver)

arrow_headaxislength=3float

Arrow property. (see matplotlib.quiver)

arrow_minshaft=1float

Arrow property. (see matplotlib.quiver)

arrow_minlength=1float

Arrow property. (see matplotlib.quiver)

arrow_color=(0.15, 0.3, 0.8)color

Color of arrows.

arrow_alpha=1float

Transparency of arrows.

arrow_label=””str

Label given to arrow data in legend.

show_nodes=Truebool

If True, nodes are displayed as circles.

node_diameter=0.25float

Diameter of nodes.

node_face_color=(1,1,1)color

Color of faces of nodes. Only used if there is no node data.

node_edge_color=(0, 0, 0)color

Color of edge of nodes. Only used if there is no node data.

nodes_as_voronoi=Falsebool

If True, node data is visualized as colors of faces of a voronoi diagram based on node coordinates rather than color of circles at node coordinates.

node_alpha=1float

Transparency of nodes.

node_quantity_cmap=Nonecolormap or None

Colormap for node_data.

node_quantity_clim=None(float, float) or None

Color limits for node_data.

node_quantity_alpha=1float

Transparency of colors used to represent node_data.

node_quantity_logarithmic_colors=Falsebool

If True, node_data color-scale is logarithmic.

node_label=””str

Label given to the node colormap.

face_quantity_cmap=Nonecolormap or None

Volormap for face_data

face_quantity_clim=None(float, float) or None

Color limits for face_data.

face_quantity_alpha=1float

Transparency of colors used to represent face_data.

face_quantity_logarithmic_colors=Falsebool

If True, face_data color-scale is logarithmic.

face_label=””str

Label given to the face colormap.

figsize=None(float, float) or None

Size of figure in inches.

title=””str

Title given to figure.

Methods

get_animation_handle()	Return FuncAnimation handle.
get_arrow_data()	Get data visualized with arrows.
get_arrow_data_handles()	Get handle containing visualization of arrow_data.
get_axes_handle()	Returns main axes containing the visualization of the circuit.
get_colorbar1_handle()	Get handle of first (left) colorbar.
get_colorbar2_handle()	Get handle of second (right) colorbar.
get_face_data()	Get data visualized at faces with colors.
get_face_data_handle()	Get handle containing visualization of face_data.
get_figure_handle()	Returns figure handle.
get_grid_handle()	Get handle containing grid.
get_junction_data()	Get data visualized with junctions.
get_legend_axis_handle()	Get axis-handle containing the legend (with arrow-scale, vortex symbol legend and colormaps).
get_node_data()	Get data visualized at nodes.
get_node_data_handle()	Get handle containing visualization of node_data.
get_vortex_data()	Get integer data visualized at faces with symbols.
get_vortex_data_handles()	Get handles containing vortex symbols.
make()	Make circuit plot.

get_animation_handle()

Return FuncAnimation handle.

make()

Make circuit plot.

Returns

fig :

Figure handle.

ax :

Axis handle.

class circuit_visualize.CircuitPlot(circuit: pyjjasim.josephson_circuit.Circuit, node_data=None, arrow_data=None, face_data=None, vortex_data=None, vortex_diameter=0.25, vortex_color=(0, 0, 0), anti_vortex_color=(0.8, 0.1, 0.2), vortex_alpha=1, vortex_label='', show_grid=True, grid_width=1, grid_color=(0.4, 0.5, 0.6), grid_alpha=0.5, show_colorbar=True, show_legend=True, legend_width_fraction=0.2, show_axes=True, axis_position=(0.1, 0.1, 0.85, 0.85), arrow_width=0.005, arrow_scale=1, arrow_headwidth=3, arrow_headlength=3.5, arrow_headaxislength=3, arrow_minshaft=1, arrow_minlength=1, arrow_color=(0.15, 0.3, 0.8), arrow_alpha=1, arrow_label='', show_nodes=True, node_diameter=0.25, node_face_color=(1, 1, 1), node_edge_color=(0, 0, 0), nodes_as_voronoi=False, node_alpha=1, node_quantity_cmap=None, node_quantity_clim=None, node_quantity_alpha=1, node_quantity_logarithmic_colors=False, node_label='', face_quantity_cmap=None, face_quantity_clim=None, face_quantity_alpha=1, face_quantity_logarithmic_colors=False, face_label='', figsize=None, title='', _vortex_range=None, fig=None)

Plots a circuit configuration.

Allows one to show node quantities, arrow quantities, face quantities and vortices.

• Node quantities are shown as colors on the nodes.

• Arrow quantities are displayed at the junctions and the length of the arrows is proportional to the quantity value.

• Face quantities are shown as colors on the faces.

• Vortices are displayed by symbols (concentric rings, vorticity equals nr of rings, color shows sign).

Base class used by circuit_visualize.ConfigPlot, where one can specify what physical quantities to display in the circuit.

Parameters

circuitjosephson_circuit.Circuit

Object representing circuit.

node_data=None(Nn,) array or None

Data associated with nodes in circuit. Can be visualized as colors. If None, node data is not visualized.

arrow_data=None(Nj,) array or None

Data associated with junctions in circuit. Can be visualized as arrows. where the length corresponds with the magnitude of the data. If None, arrow data is not visualized.

face_data=None(Nf,) array or None

Data associated with faces in circuit. Can be visualized as colors. If None, face data is not visualized.

vortex_data=None(Nf,) int array or None

Integer data associated with faces in circuit. Can be visualized as circular symbols. The value of the data equals the number of concentric rings of the symbol. The color shows if it is + or -. If None, vortex data is not visualized.

vortex_diameter=0.25float

Diameter of vortex symbols.

vortex_color=(0, 0, 0)color

Color of vortex symbols.

anti_vortex_color=(0.8, 0.1, 0.2)color

Color of anti-vortex symbols, whose data is negative.

vortex_alpha=1float

Transparency of vortex symbols.

vortex_label=””str

Label given to vortex data in legend.

show_grid=Truebool

Display a grid at the edges of the graph.

grid_width=1float

Width of lines of grid.

grid_color=(0.4, 0.5, 0.6)color

Color of grid.

grid_alpha=0.5float

Transparency of grid.

show_colorbar=Truebool

Show colorbar mapping face and/or node data to colors.

show_legend=Truebool

Show legend which includes colormaps, explanation of vortex sybols and an arrow scale.

legend_width_fraction=0.2float

Fraction of the width of the axes (as specified by axis_position) dedicated to the legend; if it is shown.

show_axes=Truebool

If True, shows axes with the coordinates of the circuit.

axis_position=(0.1, 0.1, 0.85, 0.85)array_like

Position of axis in figure (x0, y0, dx, dy, between 0 and 1)

arrow_width=0.005float

Width of arrows.

arrow_scale=1float

Scale-factor for arrows. (length of arrow = arrow_scale * arrow_data)

arrow_headwidth=3float

Width of head of arrows. (see matplotlib.quiver)

arrow_headlength=3.5float

Length of head of arrows. (see matplotlib.quiver)

arrow_headaxislength=3float

Arrow property. (see matplotlib.quiver)

arrow_minshaft=1float

Arrow property. (see matplotlib.quiver)

arrow_minlength=1float

Arrow property. (see matplotlib.quiver)

arrow_color=(0.15, 0.3, 0.8)color

Color of arrows.

arrow_alpha=1float

Transparency of arrows.

arrow_label=””str

Label given to arrow data in legend.

show_nodes=Truebool

If True, nodes are displayed as circles.

node_diameter=0.25float

Diameter of nodes.

node_face_color=(1,1,1)color

Color of faces of nodes. Only used if there is no node data.

node_edge_color=(0, 0, 0)color

Color of edge of nodes. Only used if there is no node data.

nodes_as_voronoi=Falsebool

If True, node data is visualized as colors of faces of a voronoi diagram based on node coordinates rather than color of circles at node coordinates.

node_alpha=1float

Transparency of nodes.

node_quantity_cmap=Nonecolormap or None

Colormap for node_data.

node_quantity_clim=None(float, float) or None

Color limits for node_data.

node_quantity_alpha=1float

Transparency of colors used to represent node_data.

node_quantity_logarithmic_colors=Falsebool

If True, node_data color-scale is logarithmic.

node_label=””str

Label given to the node colormap.

face_quantity_cmap=Nonecolormap or None

Colormap for face_data.

face_quantity_clim=None(float, float) or None

Color limits for face_data.

face_quantity_alpha=1float

Transparency of colors used to represent face_data.

face_quantity_logarithmic_colors=Falsebool

If True, face_data color-scale is logarithmic.

face_label=””str

Label given to the face colormap.

figsize=None(float, float) or None

Size of figure in inches.

title=””str

Title given to figure.

fig=Nonematlplotlib figure or None

figure where the axis is embedded. If None, a new figure is created.

Methods

get_arrow_data()	Get data visualized with arrows.
get_arrow_data_handles()	Get handle containing visualization of arrow_data.
get_axes_handle()	Returns main axes containing the visualization of the circuit.
get_colorbar1_handle()	Get handle of first (left) colorbar.
get_colorbar2_handle()	Get handle of second (right) colorbar.
get_face_data()	Get data visualized at faces with colors.
get_face_data_handle()	Get handle containing visualization of face_data.
get_figure_handle()	Returns figure handle.
get_grid_handle()	Get handle containing grid.
get_junction_data()	Get data visualized with junctions.
get_legend_axis_handle()	Get axis-handle containing the legend (with arrow-scale, vortex symbol legend and colormaps).
get_node_data()	Get data visualized at nodes.
get_node_data_handle()	Get handle containing visualization of node_data.
get_vortex_data()	Get integer data visualized at faces with symbols.
get_vortex_data_handles()	Get handles containing vortex symbols.
make()	Make circuit plot.

get_arrow_data()

Get data visualized with arrows.

get_arrow_data_handles()

Get handle containing visualization of arrow_data.

get_axes_handle()

Returns main axes containing the visualization of the circuit.

get_colorbar1_handle()

Get handle of first (left) colorbar. Representing node-or face data colors.

get_colorbar2_handle()

Get handle of second (right) colorbar.

get_face_data()

Get data visualized at faces with colors.

get_face_data_handle()

Get handle containing visualization of face_data.

get_figure_handle()

Returns figure handle.

get_grid_handle()

Get handle containing grid.

get_junction_data()

Get data visualized with junctions.

get_legend_axis_handle()

Get axis-handle containing the legend (with arrow-scale, vortex symbol legend and colormaps).

get_node_data()

Get data visualized at nodes.

get_node_data_handle()

Get handle containing visualization of node_data.

get_vortex_data()

Get integer data visualized at faces with symbols.

get_vortex_data_handles()

Get handles containing vortex symbols.

make()

Make circuit plot.

Returns

fig :

figure handle

ax :

axis handle

class circuit_visualize.ConfigPlot(config: pyjjasim.static_problem.StaticConfiguration, node_quantity=None, junction_quantity='I', face_quantity=None, vortex_quantity='n', vortex_diameter=0.25, vortex_color=(0, 0, 0), anti_vortex_color=(0.8, 0.1, 0.2), vortex_alpha=1, _vortex_range=None, manual_vortex_label=None, show_grid=True, grid_width=1, grid_color=(0.4, 0.5, 0.6), grid_alpha=0.5, show_colorbar=True, show_legend=True, legend_width_fraction=0.2, show_axes=True, axis_position=(0.1, 0.1, 0.85, 0.85), arrow_width=0.005, arrow_scale=1, arrow_headwidth=3, arrow_headlength=3.5, arrow_headaxislength=3, arrow_minshaft=1, arrow_minlength=1, arrow_color=(0.15, 0.3, 0.8), arrow_alpha=1, manual_arrow_label=None, show_nodes=True, node_diameter=0.25, node_face_color=(1, 1, 1), node_edge_color=(0, 0, 0), nodes_as_voronoi=False, node_alpha=1, node_quantity_cmap=None, manual_node_label=None, node_quantity_clim=None, node_quantity_alpha=1, node_quantity_logarithmic_colors=False, face_quantity_cmap=None, face_quantity_clim=None, face_quantity_alpha=1, face_quantity_logarithmic_colors=False, manual_face_label=None, figsize=None, title='', fig=None)

Visualize static configuration on a circuit.

Allows one to show node quantities, junction quantities, face quantities and vortices.

• Node quantities are shown as colors on the nodes.

• Junction quantities are displayed at the junctions as arrows, where the length of the arrows is proportional to the quantity value.

• Face quantities are shown as colors on the faces.

• Vortices are displayed by symbols (concentric rings, vorticity equals nr of rings, color shows sign).

Parameters

configstatic_problem.StaticConfiguration

Static configuration to plot.

node_quantity=Nonestr or None

What physical quantity of config to visualize at nodes. Options:

• “” or None : no quantity displayed

• “phi” : gauge dependent phases

• “Is_node” : current sourced at nodes

junction_quantity=”I”str or None

What physical quantity of config to visualize on junctions. Options:

• “” or None : no quantity displayed

• “theta” : gauge invariant phase difference

• “I” : current

• “Is” : junction current sources

• “EJ” : josephson energy

• “EM” : magnetic energy

• “Etot” : total energy

face_quantity=Nonestr or None

What physical quantity of config to visualize at faces. Options:

• “” or None : no quantity displayed

• “flux” : magnetic flux through face

• “J” : cycle-current

• “n” : vorticity

vortex_quantity=”n”str or None

What face-integer physical quantity of config to visualize with vortex symbols. Options:

• “” or None : no quantity displayed

• “n” : vortices

vortex_diameter=0.25float

Diameter of vortex symbols.

vortex_color=(0, 0, 0)color

Color of vortex symbols.

anti_vortex_color=(0.8, 0.1, 0.2)color

Color of anti-vortex symbols, whose data is negative.

vortex_alpha=1float

Transparency of vortex symbols.

manual_vortex_label=Nonestr or None

Label given to vortices in the legend.

show_grid=Truebool

Display a grid at the edges of the graph.

grid_width=1float

Width of lines of grid.

grid_color=(0.4, 0.5, 0.6)color

Color of grid.

grid_alpha=0.5float

Transparency of grid.

show_colorbar=Truebool

Show colorbar mapping face and/or node data to colors.

show_legend=Truebool

Show legend which includes colormaps, explanation of vortex sybols and an arrow scale.

legend_width_fraction=0.2float

Fraction of the width of the axes (as specified by axis_position) dedicated to the legend; if it is shown.

show_axes=Truebool

If True, shows axes with the coordinates of the circuit.

axis_position=(0.1, 0.1, 0.85, 0.85)array_like

Position of axis in figure (x0, y0, dx, dy, between 0 and 1)

arrow_width=0.005float

Width of arrows.

arrow_scale=1float

Scale-factor for arrows. (length of arrow = arrow_scale * arrow_data)

arrow_headwidth=3float

Width of head of arrows. (see matplotlib.quiver)

arrow_headlength=3.5float

Length of head of arrows. (see matplotlib.quiver)

arrow_headaxislength=3float

Arrow property. (see matplotlib.quiver)

arrow_minshaft=1float

Arrow property. (see matplotlib.quiver)

arrow_minlength=1float

Arrow property. (see matplotlib.quiver)

arrow_color=(0.15, 0.3, 0.8)color

Color of arrows.

arrow_alpha=1float

Transparency of arrows.

manual_arrow_label=Nonestr or None

Label given to arrows in the legend.

show_nodes=Truebool

If True, nodes are displayed as circles.

node_diameter=0.25float

Diameter of nodes.

node_face_color=(1,1,1)color

Color of faces of nodes. Only used if there is no node data.

node_edge_color=(0, 0, 0)color

Color of edge of nodes. Only used if there is no node data.

nodes_as_voronoi=Falsebool

If True, node data is visualized as colors of faces of a voronoi diagram based on node coordinates rather than color of circles at node coordinates.

node_alpha=1float

Transparency of nodes.

node_quantity_cmap=Nonecolormap or None

Colormap for node_data

node_quantity_clim=None(float, float) or None

Color limits for node_data.

node_quantity_alpha=1float

Transparency of colors used to represent node_data.

node_quantity_logarithmic_colors=Falsebool

If True, node_data color-scale is logarithmic.

manual_node_label=Nonestr or None

Label given to node data in the legend.

face_quantity_cmap=Nonecolormap or None

Colormap for face_data.

face_quantity_clim=None(float, float) or None

Color limits for face_data.

face_quantity_alpha=1float

Transparency of colors used to represent face_data.

face_quantity_logarithmic_colors=Falsebool

If True, face_data color-scale is logarithmic.

manual_face_label=Nonestr or None

Label given to face data in the legend.

figsize=None(float, float) or None

Size of figure in inches.

title=””str

Title given to figure.

Methods

get_arrow_data()	Get data visualized with arrows.
get_arrow_data_handles()	Get handle containing visualization of arrow_data.
get_axes_handle()	Returns main axes containing the visualization of the circuit.
get_colorbar1_handle()	Get handle of first (left) colorbar.
get_colorbar2_handle()	Get handle of second (right) colorbar.
get_face()	Get physical quantity displayed at faces with colors.
get_face_data()	Get data visualized at faces with colors.
get_face_data_handle()	Get handle containing visualization of face_data.
get_figure_handle()	Returns figure handle.
get_grid_handle()	Get handle containing grid.
get_junction_data()	Get data visualized with junctions.
get_junction_quantity()	Get physical quantity displayed at junctions.
get_legend_axis_handle()	Get axis-handle containing the legend (with arrow-scale, vortex symbol legend and colormaps).
get_node_data()	Get data visualized at nodes.
get_node_data_handle()	Get handle containing visualization of node_data.
get_node_quantity()	Get physical quantity displayed at nodes.
get_vortex_data()	Get integer data visualized at faces with symbols.
get_vortex_data_handles()	Get handles containing vortex symbols.
get_vortex_quantity()	Get integer physical quantity displayed at faces with symbols.
make()	Make circuit plot.

get_face()

Get physical quantity displayed at faces with colors. (None, “flux”, ” n” or “J”)

get_junction_quantity()

Get physical quantity displayed at junctions. (None, “th”, “I”, “Is”, “EJ”, “EM” or “Etot”)

get_node_quantity()

Get physical quantity displayed at nodes. (None, “phi” or “Is_node”)

get_vortex_quantity()

Get integer physical quantity displayed at faces with symbols. (None or “n”)

class circuit_visualize.TimeEvolutionMovie(config: pyjjasim.time_evolution.TimeEvolutionResult, problem_nr=0, time_points=None, node_quantity=None, junction_quantity='I', face_quantity=None, vortex_quantity='n', vortex_diameter=0.25, vortex_color=(0, 0, 0), anti_vortex_color=(0.8, 0.1, 0.2), vortex_alpha=1, _vortex_range=None, manual_vortex_label=None, show_grid=True, grid_width=1, grid_color=(0.4, 0.5, 0.6), grid_alpha=0.5, show_colorbar=True, show_legend=True, legend_width_fraction=0.2, show_axes=True, axis_position=(0.1, 0.1, 0.85, 0.85), arrow_width=0.005, arrow_scale=1, arrow_headwidth=3, arrow_headlength=3.5, arrow_headaxislength=3, arrow_minshaft=1, arrow_minlength=1, arrow_color=(0.15, 0.3, 0.8), arrow_alpha=1, manual_arrow_label=None, show_nodes=True, node_diameter=0.25, node_face_color=(1, 1, 1), node_edge_color=(0, 0, 0), nodes_as_voronoi=False, node_alpha=1, node_quantity_cmap=None, node_quantity_clim=None, node_quantity_alpha=1, node_quantity_logarithmic_colors=False, manual_node_label=None, face_quantity_cmap=None, face_quantity_clim=None, face_quantity_alpha=1, face_quantity_logarithmic_colors=False, manual_face_label=None, figsize=None, title='', animate_interval=10, fig=None)

Visualize time evolution on a circuit as a movie.

Allows one to show node quantities, junction quantities, face quantities and vortices.

• Node quantities are shown as colors on the nodes.

• Junction quantities are displayed at the junctions as arrows, where the length of the arrows is proportional to the quantity value.

• Face quantities are shown as colors on the faces.

• Vortices are displayed by symbols (concentric rings, vorticity equals nr of rings, color shows sign).

Parameters

configtime_evolution.TimeEvolutionResult

Time evolution to visualize.

node_quantity=Nonestr or None

What physical quantity of config to visualize at nodes. Options:

• “” or None : no quantity displayed

• “phi” : gauge dependent phases

• “Is_node” : current sourced at nodes

• “U” : Voltage potential

junction_quantity=”I”str or None

What physical quantity of config to visualize on junctions. Options:

• “” or None : no quantity displayed

• “theta” : gauge invariant phase difference

• “I” : current

• “V” : Voltage

• “Isuper” : supercurrent

• “Is” : junction current sources

• “EJ” : josephson energy

• “EM” : magnetic energy

• “EC” : capacative energy

• “Etot” : total energy

face_quantity=Nonestr or None

What physical quantity of config to visualize at faces. Options:

• “” or None : no quantity displayed

• “flux” : magnetic flux through face

• “J” : cycle-current

• “n” : vorticity

vortex_quantity=”n”str or None

What face-integer physical quantity of config to visualize with vortex symbols. Options:

• “” or None : no quantity displayed

• “n” : vortices

vortex_diameter=0.25float

Diameter of vortex symbols.

vortex_color=(0, 0, 0)color

Color of vortex symbols.

anti_vortex_color=(0.8, 0.1, 0.2)color

Color of anti-vortex symbols, whose data is negative.

vortex_alpha=1float

Transparancy of vortex symbols.

manual_vortex_label=Nonestr or None

Label given to vortices in the legend.

show_grid=Truebool

Display a grid at the edges of the graph.

grid_width=1float

Width of lines of grid.

grid_color=(0.4, 0.5, 0.6)color

Color of grid.

grid_alpha=0.5float

Transparency of grid.

show_colorbar=Truebool

Show colorbar mapping face and/or node data to colors.

show_legend=Truebool

Show legend which includes colormaps, explanation of vortex sybols and an arrow scale.

legend_width_fraction=0.2float

Fraction of the width of the axes (as specified by axis_position) dedicated to the legend; if it is shown.

show_axes=Truebool

If True, shows axes with the coordinates of the circuit.

axis_position=(0.1, 0.1, 0.85, 0.85)array_like

Position of axis in figure (x0, y0, dx, dy, between 0 and 1)

arrow_width=0.005float

Width of arrows.

arrow_scale=1float

Scale-factor for arrows. (length of arrow = arrow_scale * arrow_data)

arrow_headwidth=3float

Width of head of arrows. (see matplotlib.quiver)

arrow_headlength=3.5float

Length of head of arrows. (see matplotlib.quiver)

arrow_headaxislength=3float

Arrow property. (see matplotlib.quiver)

arrow_minshaft=1float

Arrow property. (see matplotlib.quiver)

arrow_minlength=1float

Arrow property. (see matplotlib.quiver)

arrow_color=(0.15, 0.3, 0.8)color

Color of arrows.

arrow_alpha=1float

Transparency of arrows.

manual_arrow_label=Nonestr or None

Label given to arrows in the legend.

show_nodes=Truebool

If True, nodes are displayed as circles

node_diameter=0.25float

Diameter of nodes.

node_face_color=(1,1,1)color

Color of faces of nodes. Only used if there is no node data.

node_edge_color=(0, 0, 0)color

Color of edge of nodes. Only used if there is no node data.

nodes_as_voronoi=Falsebool

If True, node data is visualized as colors of faces of a voronoi diagram based on node coordinates rather than color of circles at node coordinates.

node_alpha=1float

Transparency of nodes.

manual_node_label=Nonestr or None

Label given to node data in the legend.

node_quantity_cmap=Nonecolormap or None

Colormap for node_data.

node_quantity_clim=None(float, float) or None

Color limits for node_data.

node_quantity_alpha=1float

Transparency of colors used to represent node_data.

node_quantity_logarithmic_colors=Falsebool

If True, node_data color-scale is logarithmic.

face_quantity_cmap=Nonecolormap or None

Colormap for face_data.

face_quantity_clim=None(float, float) or None

Color limits for face_data.

face_quantity_alpha=1float

Transparency of colors used to represent face_data.

face_quantity_logarithmic_colors=Falsebool

If True, face_data color-scale is logarithmic.

manual_face_label=Nonestr or None

Label given to face data in the legend.

figsize=None(float, float) or None

Size of figure in inches.

title=””str

Title given to figure.

Methods

get_animation_handle()	Return FuncAnimation handle.
get_arrow_data()	Get data visualized with arrows.
get_arrow_data_handles()	Get handle containing visualization of arrow_data.
get_axes_handle()	Returns main axes containing the visualization of the circuit.
get_colorbar1_handle()	Get handle of first (left) colorbar.
get_colorbar2_handle()	Get handle of second (right) colorbar.
get_face()	Get physical quantity displayed at faces with colors.
get_face_data()	Get data visualized at faces with colors.
get_face_data_handle()	Get handle containing visualization of face_data.
get_figure_handle()	Returns figure handle.
get_grid_handle()	Get handle containing grid.
get_junction_data()	Get data visualized with junctions.
get_junction_quantity()	Get physical quantity displayed at junctions.
get_legend_axis_handle()	Get axis-handle containing the legend (with arrow-scale, vortex symbol legend and colormaps).
get_node_data()	Get data visualized at nodes.
get_node_data_handle()	Get handle containing visualization of node_data.
get_node_quantity()	Get physical quantity displayed at nodes.
get_vortex_data()	Get integer data visualized at faces with symbols.
get_vortex_data_handles()	Get handles containing vortex symbols.
get_vortex_quantity()	Get physical quantity displayed at faces with symbols.
make()	Make circuit plot.

get_face()

Get physical quantity displayed at faces with colors. (None, “flux”, ” n” or “J”)

get_junction_quantity()

Get physical quantity displayed at junctions. (None, “th”, “I”, “V”, “Isup”, “Is”, “EJ”, “EM”, “EC” or “Etot”)

get_node_quantity()

Get physical quantity displayed at nodes. (None, “phi”, “Is_node” or “U”)

get_vortex_quantity()

Get physical quantity displayed at faces with symbols. (None or “n”)