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 merge_notebooks(filenames): merged = None for fname in filenames: with io.open(fname, 'r', encoding='utf-8') as f: nb = current.read(f, u'json') remove_formatting(nb) 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( ['Preface.ipynb', 'Chapter01_gh_filter/g-h_filter.ipynb', 'Chapter02_Discrete_Bayes/discrete_bayes.ipynb', 'Chapter03_Least_Squares/Least_Squares_Filters.ipynb', 'Chapter04_Gaussians/Gaussians.ipynb', 'Chapter05_Kalman_Filters/Kalman_Filters.ipynb', 'Chapter06_Multivariate_Kalman_Filter/Multivariate_Kalman_Filters.ipynb', 'Chapter07_Kalman_Filter_Math/Kalman_Filter_Math.ipynb', 'Chapter08_Designing_Kalman_Filters/Designing_Kalman_Filters.ipynb', 'Chapter09_Extended_Kalman_Filters/Extended_Kalman_Filters.ipynb', 'Chapter10_Unscented_Kalman_Filters/Unscented_Kalman_Filter.ipynb', 'Chapter11_Designing_Nonlinear_Kalman_Filters/Designing_Nonlinear_Kalman_Filters.ipynb', 'Appendix_A_Installation/Appendix_Installation.ipynb', 'Appendix_B_Symbols_and_Notations/Appendix_Symbols_and_Notations.ipynb']) # merge_notebooks(['Preface.ipynb', g-h_filter.ipynb discrete_bayes.ipynb Gaussians.ipynb Kalman_Filters.ipynb Multivariate_Kalman_Filters.ipynb Kalman_Filter_Math.ipynb Designing_Kalman_Filters.ipynb Extended_Kalman_Filters.ipynb Unscented_Kalman_Filter.ipynb'])