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Nobel prize winners and their years until death.
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#/usr/bin/python3 | |
# gets demographics for nobel prize winners | |
# calculates yearly average of how many years between prize and death | |
import pandas as pd | |
import numpy as np | |
# api endpoint for all nobel winnters: https://nobelprize.readme.io/ | |
url = 'http://api.nobelprize.org/v1/laureate.csv' | |
# import csv from web API | |
df = pd.read_csv(url) | |
# convert strings to datetime | |
df['died'] = pd.to_datetime(df.died, format='%Y-%m-%d', errors='coerce') | |
df['year_date'] = pd.to_datetime(df.year, format='%Y', errors='coerce') | |
# calculate difference between death and prize years | |
df['years_until_death'] = (df['died'] - df['year_date'])/np.timedelta64(1,'Y') | |
# get mean years until death for each prize year | |
df = df.groupby('year')['years_until_death'].mean().round() | |
# write to csv | |
df.to_csv('nobel_prize_years_until_death.csv', header=True) |
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year | years_until_death | |
---|---|---|
1901 | 13.0 | |
1902 | 19.0 | |
1903 | 11.0 | |
1904 | 17.0 | |
1905 | 16.0 | |
1906 | 16.0 | |
1907 | 17.0 | |
1908 | 14.0 | |
1909 | 17.0 | |
1910 | 14.0 | |
1911 | 19.0 | |
1912 | 29.0 | |
1913 | 20.0 | |
1914 | 28.0 | |
1915 | 35.0 | |
1916 | 24.0 | |
1917 | 19.0 | |
1918 | 23.0 | |
1919 | 23.0 | |
1920 | 22.0 | |
1921 | 19.0 | |
1922 | 32.0 | |
1923 | 17.0 | |
1924 | 20.0 | |
1925 | 27.0 | |
1926 | 14.0 | |
1927 | 21.0 | |
1928 | 23.0 | |
1929 | 23.0 | |
1930 | 18.0 | |
1931 | 15.0 | |
1932 | 27.0 | |
1933 | 30.0 | |
1934 | 27.0 | |
1935 | 19.0 | |
1936 | 31.0 | |
1937 | 29.0 | |
1938 | 28.0 | |
1939 | 33.0 | |
1943 | 32.0 | |
1944 | 23.0 | |
1945 | 19.0 | |
1946 | 19.0 | |
1947 | 21.0 | |
1948 | 21.0 | |
1949 | 22.0 | |
1950 | 20.0 | |
1951 | 28.0 | |
1952 | 32.0 | |
1953 | 18.0 | |
1954 | 29.0 | |
1955 | 37.0 | |
1956 | 24.0 | |
1957 | 24.0 | |
1958 | 27.0 | |
1959 | 29.0 | |
1960 | 25.0 | |
1961 | 24.0 | |
1962 | 30.0 | |
1963 | 23.0 | |
1964 | 29.0 | |
1965 | 24.0 | |
1966 | 14.0 | |
1967 | 27.0 | |
1968 | 22.0 | |
1969 | 23.0 | |
1970 | 30.0 | |
1971 | 13.0 | |
1972 | 24.0 | |
1973 | 20.0 | |
1974 | 15.0 | |
1975 | 21.0 | |
1976 | 34.0 | |
1977 | 16.0 | |
1978 | 14.0 | |
1979 | 18.0 | |
1980 | 30.0 | |
1981 | 22.0 | |
1982 | 21.0 | |
1983 | 15.0 | |
1984 | 14.0 | |
1985 | 24.0 | |
1986 | 23.0 | |
1987 | 9.0 | |
1988 | 19.0 | |
1989 | 16.0 | |
1990 | 17.0 | |
1991 | 21.0 | |
1992 | 21.0 | |
1993 | 21.0 | |
1994 | 14.0 | |
1995 | 13.0 | |
1996 | 14.0 | |
1997 | 21.0 | |
1998 | 12.0 | |
1999 | 18.0 | |
2000 | 13.0 | |
2001 | 16.0 | |
2002 | 13.0 | |
2003 | 9.0 | |
2004 | 10.0 | |
2005 | 10.0 | |
2006 | ||
2007 | 7.0 | |
2008 | 9.0 | |
2009 | 6.0 | |
2010 | 5.0 | |
2011 | 2.0 | |
2012 | 4.0 | |
2013 | ||
2014 | ||
2015 | ||
2016 | 3.0 | |
2017 | ||
2018 | ||
2019 |
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