Kalman-and-Bayesian-Filters-in-Python/pdf/merge_book.py

from __future__ import print_function
import io
import IPython.nbformat as 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(
        ['../00_Preface.ipynb',
         '../01_g-h_filter.ipynb',
         '../Appendix_A_Installation.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',
         '../05_Multivariate_Kalman_Filters.ipynb',
         '../06_Kalman_Filter_Math.ipynb',
         '../07_Designing_Kalman_Filters.ipynb',
         '../08_Nonlinear_Filtering.ipynb',
         '../09_Unscented_Kalman_Filter.ipynb',
         '../10_Extended_Kalman_Filters.ipynb',
         '../11_Particle_Filters.ipynb',
         '../12_Smoothing.ipynb',
         '../13_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'])