Reply To: how to get the matplolib figure?

[bastien]

Hi Ronald,

Thanks for your answer. I am aware of export_plt() and of the clear=False option and this isn’t exactly what I was looking for.  Thanks for pointing at the class, I looked a bit into it and saw that you just need the coordinates of the vertices making up a cell and with help of that post I came up with something that works pretty well for what I had in mind (adding annotation to document a library of layouts or having two subplots side by side). Here is a code snippet demonstrating it in case someone’s interested:

import plotly.graph_objects as go

nd.clear_layout()
a = nd.strt(width=5, layer = 1).put()
b = nd.bend( width=5, layer = 1).put()
coord = []

for NT in nd.cell_iter(nd.cfg.defaultcell, flat=True):
    if NT.cell_start:
        print(f"\ncell: '{NT.cell.cell_name}'")
        for i, (pgon, points, bbox) in enumerate(NT.iters['polygon']):
           #print(f"{i}: points: {points}, layer: '{pgon.layer}'")
           coord.append(points)

x0 = [i[0] for i in coord[0]]
x0.append(x0[0]) #to connect last point to first point in the plot
y0 = [i[1] for i in coord[0]]
y0.append(y0[0]) #to connect last point to first point in the plot
x1 = [i[0] for i in coord[1]]
x1.append(x1[0])
y1 = [i[1] for i in coord[1]]
y1.append(y1[0])

fig = go.Figure([
    go.Scatter(x=x0, y=y0, fill="toself", marker=dict(opacity=0), name="arc layer1"),
    go.Scatter(x=x1, y=y1, fill="toself", marker=dict(opacity=0) )
])

fig.add_annotation(
    x=5,
    y=2.5,
    text="L",
    ax=0,
    ay=-40
)

fig.add_annotation(
    x=0,
    y=0,
    text="W",
    ax=-20,
    ay=-40
)

fig.update_annotations(dict(
    xref="x",
    yref="y",
    showarrow=True,
    arrowhead=7
))

fig.update_layout(
    yaxis = dict(
        scaleanchor = "x",
        scaleratio = 1,
    ),
    showlegend = True,
    width=1000, 
    height=1000,
    autosize=False
)

fig.show()
nd.clear_layout()

Bastien