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BookIndex_merge-page-numbers-to-range.py
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BookIndex_merge-page-numbers-to-range.py
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# Script for creating a ranges of page numbers from lists of individual pages
# This script can be used to refine a book index.
# The script identifies consecutive page numbers in a CSV file and combines them.
import csv
import pandas as pd
from pandas import DataFrame
import numpy as np
import pdftotext
import os
from collections import defaultdict
import itertools
CSV_FILE='C:\\Users\\####\\Index_no-range.csv' # input file with lists of individual page numbers in each row
new_pages=[]
with open(CSV_FILE, encoding="ANSI", errors="ignore") as f: # file is ANSI encoded to be compatible with EXCEL
data = pd.read_csv(f, sep=";")
pages=data['PAGES'].values # get values from pages column in file
for p in pages:
#print(p)
#print(type(p))
if len(p.split(", "))>1:
str_list=p.split(", ")
int_list = [eval(y) for y in str_list]
print(int_list)
p_list=[]
try:
def ranges(i):
for a, b in itertools.groupby(enumerate(i), lambda pair: pair[1] - pair[0]):
b = list(b)
yield b[0][1], b[-1][1]
pages_list=(list(ranges(int_list))) # Output: [(0, 4), (7, 9), (11, 11)]
#print("Input pages: ", pages_list)
for l in pages_list:
print(p)
if l[0]==l[1]:
new_range=l[0]
p_list.append(new_range)
else:
new_range="–".join([str(l[0]), str(l[1])])
#print("Range: ", new_range)
p_list.append(new_range)
except Exception as e:
print(e)
else:
p_list=[p]
new_pages.append(p_list)
data['NEW PAGES']=new_pages
display(data) # show dataframe with new pages column
# write to new .TXT files
with open('C:\\Users\\####\\Index-with-range.txt', 'w', encoding="ANSI") as outfile:
dfAsString = data.to_string(header=False, index=False)
outfile.write(dfAsString)
# write to new .CSV file
with open('C:\\Users\\####\\Index-with-range.csv', 'w', encoding="ANSI") as x:
data.to_csv(x)
print("Done")
# In[ ]:
# In[ ]:
# In[ ]: