lcapy.schematic.Schematic

class lcapy.schematic.Schematic(filename=None, allow_anon=False, **kwargs)

Bases: NetfileMixin

Methods

__init__([filename, allow_anon])
add(string)	Add a component to the netlist.
draw([filename])
make_graphs([debug])
netfile_add(filename)	Add the nets from file with specified filename
netlist()	Return the current netlist
pdb()	Enter the python debugger.
tikz_draw(filename, **kwargs)

add(string)

Add a component to the netlist. The general form is: ‘Name Np Nm args’ where Np is the positive node and Nm is the negative node.

A positive current is defined to flow from the positive node to the negative node.

draw(filename=None, **kwargs)

Parameters:

• filename – The name of the file to produce. If None, the schematic is displayed on the screen.

• layout – This is either ‘horizontal’, ‘vertical’, or ‘ladder’.

• evalf – This can be False or an integer specifying the number of decimal places used to evaluate floats.

• kwargs – These include:

• label_ids (-)

• label_values (-)

• draw_nodes (-) –

  • True: show all nodes

  • False: show no nodes

  • ’primary’: show primary nodes

  • ’connections’: show nodes that connect more than two components

  • ’all’: show all nodes

• label_nodes (-) –

  • True: label all nodes

  • False: label no nodes

  • ’primary’: label primary nodes

  • ’alpha’: label nodes starting with a letter

  • ’pins’: label nodes that are pins on a chip

  • ’all’: label all nodes

• style (-)

• scale (-)

• node_spacing (-)

• cpt_size (-)

• dpi (-)

• help_lines (-)

• debug (-)

Notes

If using Jupyter, then need to first issue command %matplotlib inline

netfile_add(filename)

Add the nets from file with specified filename

netlist()

Return the current netlist

pdb()

Enter the python debugger.