Kalman-and-Bayesian-Filters.../pdf/short_merge_book.py

61 lines
1.6 KiB
Python

from __future__ import print_function
import io
import IPython.nbformat as nbformat
import sys
def remove_formatting(nb):
c = nb['cells']
for i in range (len(c)):
if 'source' in c[i].keys():
if c[i]['source'][0:16] == '#format the book':
del c[i]
return
def remove_links(nb):
c = nb['cells']
for i in range (len(c)):
if 'source' in c[i].keys():
if c[i]['source'][0:19] == '[Table of Contents]':
del c[i]
return
def remove_links_add_appendix(nb):
c = nb['cells']
for i in range (len(c)):
if 'source' in c[i].keys():
if c[i]['source'][0:19] == '[Table of Contents]':
c[i]['source'] = '\\appendix'
return
def merge_notebooks(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"
print(nbformat.writes(merged, nbformat.NO_CONVERT))
if __name__ == '__main__':
#merge_notebooks(sys.argv[1:])
merge_notebooks(
['../00_Preface.ipynb',
'../01_g-h_filter.ipynb',
'../Appendix_A_Installation.ipynb'])