How to load .gds file into Pandas?

Question

I have a .gds file. How can I read that file with pandas and do some analysis? What is the best way to do that in Python? The file can be downloaded here.

score 0 · Answer 1 · answered Jan 04 '21 at 15:59

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you need to change the encoding and read the data using latin1

import pandas as pd
df = pd.read_csv('example.gds',header=27,encoding='latin1')

will get you the data file, also you need to skip the first 27 rows of data for the real pandas meat of the file.

answered Jan 04 '21 at 15:59

Paul Brennan

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thank you so much but still does not work. First time I tried .it was working perfectly,but still does not work – nabil horen Jan 05 '21 at 20:30
What went wrong? Could I have some more information? – Paul Brennan Jan 05 '21 at 20:43
Thank you very much.I Have uploaded a new file.This is the link: https://gofile.io/d/54Ll76 – nabil horen Jan 06 '21 at 13:10

score 0 · Answer 2 · edited Sep 27 '21 at 16:07

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The gdspy package comes handy for such applications. For example:

import numpy
import gdspy

gdsii = gdspy.GdsLibrary(infile="filename.gds")
main_cell = gdsii.top_level()[0]  # Assume a single top level cell
points = main_cell.polygons[0].polygons[0]
for p in points:
    print("Points: {}".format(p))

edited Sep 27 '21 at 16:07

TC Arlen

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answered Sep 27 '21 at 14:32

mindful_machina

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How to load .gds file into Pandas?

2 Answers2