55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
from __future__ import print_function
|
|
import io
|
|
import nbformat
|
|
import sys
|
|
from formatting import *
|
|
|
|
|
|
def merge_notebooks(outfile, filenames):
|
|
merged = None
|
|
added_appendix = False
|
|
for fname in filenames:
|
|
with io.open(fname, 'r', encoding='utf-8') as f:
|
|
nb = nbformat.read(f, nbformat.NO_CONVERT)
|
|
remove_formatting(nb)
|
|
if not added_appendix and fname[0:8] == 'Appendix':
|
|
remove_links_add_appendix(nb)
|
|
added_appendix = True
|
|
else:
|
|
remove_links(nb)
|
|
if merged is None:
|
|
merged = nb
|
|
else:
|
|
merged.cells.extend(nb.cells)
|
|
#merged.metadata.name += "_merged"
|
|
|
|
outfile.write(nbformat.writes(merged, nbformat.NO_CONVERT))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
f = open('book.ipynb', 'w', encoding='utf-8')
|
|
'''merge_notebooks(f,
|
|
['../02-Discrete-Bayes.ipynb'])'''
|
|
|
|
merge_notebooks(f,
|
|
['../00-Preface.ipynb',
|
|
'../01-g-h-filter.ipynb',
|
|
'../02-Discrete-Bayes.ipynb',
|
|
'../03-Gaussians.ipynb',
|
|
'../04-One-Dimensional-Kalman-Filters.ipynb',
|
|
'../05-Multivariate-Gaussians.ipynb',
|
|
'../06-Multivariate-Kalman-Filters.ipynb',
|
|
'../07-Kalman-Filter-Math.ipynb',
|
|
'../08-Designing-Kalman-Filters.ipynb',
|
|
'../09-Nonlinear-Filtering.ipynb',
|
|
'../10-Unscented-Kalman-Filter.ipynb',
|
|
'../11-Extended-Kalman-Filters.ipynb',
|
|
'../12-Particle-Filters.ipynb',
|
|
'../13-Smoothing.ipynb',
|
|
'../14-Adaptive-Filtering.ipynb',
|
|
'../Appendix-A-Installation.ipynb',
|
|
'../Appendix-B-Symbols-and-Notations.ipynb',
|
|
#'../Appendix-C-Walking-Through-KF-Code.ipynb',
|
|
'../Appendix-D-HInfinity-Filters.ipynb',
|
|
'../Appendix-E-Ensemble-Kalman-Filters.ipynb'])
|