Kalman-and-Bayesian-Filters.../pdf/merge_book.py
2015-02-13 20:49:25 -08:00

83 lines
2.4 KiB
Python

from __future__ import print_function
import io
from IPython.nbformat import current
import sys
def remove_formatting(nb):
w = nb['worksheets']
node = w[0]
c = node['cells']
for i in range (len(c)):
if 'input' in c[i].keys():
if c[i]['input'][0:16] == '#format the book':
del c[i]
return
def remove_links(nb):
w = nb['worksheets']
node = w[0]
c = node['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):
w = nb['worksheets']
node = w[0]
c = node['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 = current.read(f, u'json')
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.worksheets[0].cells.extend(nb.worksheets[0].cells)
merged.metadata.name += "_merged"
print(current.writes(merged, u'json'))
if __name__ == '__main__':
#merge_notebooks(sys.argv[1:])
merge_notebooks(
['../00_Preface.ipynb',
'../01_g-h_filter.ipynb',
'../02_Discrete_Bayes.ipynb',
'../03_Least_Squares_Filters.ipynb',
'../04_Gaussians.ipynb',
'../05_Kalman_Filters.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_Designing_Nonlinear_Kalman_Filters.ipynb',
'../13_Smoothing.ipynb',
'../14_Adaptive_Filtering.ipynb',
'../15_HInfinity_Filters.ipynb',
'../16_Ensemble_Kalman_Filters.ipynb',
'../Appendix_A_Installation.ipynb',
'../Appendix_B_Symbols_and_Notations.ipynb'])