Get Ngrams

This is a basic Python code to retrieve data behind trajectories plotted on the Google Books Ngram ViewerJust type in the same string you would have entered in the Google Ngram Viewer and retrieve the data in tsv format. By default, data is printed on screen and saved to the current directory. For more on the types of queries accepted, see this info page.
 
Download getNgrams.exe (or getNgrams.py if you have Python installed)
 

 
Example usage:
Albert Einstein, Charles Darwin
burnt_VERB/(burnt_VERB+burned)
Pearl Harbor, Watergate -corpus=eng_2009 -nosave 
bells and whistles -startYear=1900 -endYear=2001 -smoothing=2
(electric car) * 10,solar energy
-quit
 
Flags:
  -corpus=CORPUS 
[default: eng_2012] This will run the query in CORPUS. Possible values are recapitulated below, and here.
  -startYear=YEAR
 [default: 1800] start the query in YEAR (integer). 
  -endYear=YEAR 
[default: 2000] ends the query in YEAR (integer).
  -smoothing=SMOOTHING 
[default: 3] smoothing parameter (integer). Minimum is 0.
  -nosave
results will not be saved to file.
  -noprint
results will not be printed on screen.
  -help
prints this screen.
  -quit
quits. 
 
Possible corpora:
eng_2012, eng_2009, eng_us_2012, eng_us_2009, eng_gb_2012, eng_gb_2009, chi_sim_2012, chi_sim_2009, fre_2012, fre_2009, ger_2012, ger_2009, spa_2012, spa_2009, rus_2012, rus_2009, heb_2012, heb_2009, ita_2012, eng_fiction_2012, eng_fiction_2009, eng_1m_2009
 
Note to savvy users: 
  1. You can directly pass queries as arguments, such as python getNgrams.py awesome orgetNgrams.exe great
  2. If you pass the ‘-quit’ flag as an argument, the program will run once and quit without asking for more input: python getNgrams.py awesome, sauce -quit
  3. Known caveat: quotation marks are removed from the input query. 
  4. License: none, please distribute, modify and improve as you see fit.
PLEASE do respect the terms of service of the Google Books Ngram Viewer while using this code. This code is meant to help viewers retrieve data behind a few queries, not bang at Google’s servers with thousands of queries. The complete dataset can be freely downloaded directly on Google’s website
 
This code is not a Google product and is not endorsed by Google in any way. Contact us at jb@culturomics.org, @culturomics or @jb_michel
 
With this in mind… happy plotting!

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