splitting a long string into a list

ronrsr ronrsr at gmail.com
Tue Nov 28 00:34:42 EST 2006


I have a single long string - I'd like to split it into a list of
unique keywords. Sadly, the database wasn't designed to do this, so I
must do this in Python - I'm having some trouble using the .split()
function, it doesn't seem to do what I want it to - any ideas?

thanks very much for your help.

r-sr-


longstring = 'Agricultural subsidies; Foreign aidAgriculture;
Sustainable Agriculture - Support; Organic Agriculture; Pesticides, US,
Childhood Development, Birth Defects; Toxic ChemicalsAntibiotics,
AnimalsAgricultural Subsidies, Global TradeAgricultural
SubsidiesBiodiversityCitizen ActivismCommunity
GardensCooperativesDietingAgriculture, CottonAgriculture, Global
TradePesticides, MonsantoAgriculture, SeedCoffee, HungerPollution,
Water, FeedlotsFood PricesAgriculture, WorkersAnimal Feed, Corn,
PesticidesAquacultureChemical
WarfareCompostDebtConsumerismFearPesticides, US, Childhood Development,
Birth DefectsCorporate Reform,  Personhood (Dem. Book)Corporate Reform,
 Personhood, Farming (Dem. Book)Crime Rates, Legislation,
EducationDebt, Credit CardsDemocracyPopulation, WorldIncomeDemocracy,
Corporate Personhood, Porter Township (Dem. Book)Disaster
ReliefDwellings, SlumsEconomics, MexicoEconomy, LocalEducation,
ProtestsEndangered Habitat, RainforestEndangered SpeciesEndangered
Species, Extinctionantibiotics, livestockAgricultural subsidies;
Foreign aid;Agriculture; Sustainable Agriculture - Support; Organic
Agriculture; Pesticides, US, Childhood Development, Birth Defects;
Toxic Chemicals;Antibiotics, Animals;Agricultural Subsidies, Global
Trade;Agricultural Subsidies;Biodiversity;Citizen Activism;Community
Gardens;Cooperatives;Dieting;Agriculture, Cotton;Agriculture, Global
Trade;Pesticides, Monsanto;Agriculture, Seed;Coffee, Hunger;Pollution,
Water, Feedlots;Food Prices;Agriculture, Workers;Animal Feed, Corn,
Pesticides;Aquaculture;Chemical
Warfare;Compost;Debt;Consumerism;Fear;Pesticides, US, Childhood
Development, Birth Defects;Corporate Reform,  Personhood (Dem.
Book);Corporate Reform,  Personhood, Farming (Dem. Book);Crime Rates,
Legislation, Education;Debt, Credit Cards;Democracy;Population,
World;Income;Democracy, Corporate Personhood, Porter Township (Dem.
Book);Disaster Relief;Dwellings, Slums;Economics, Mexico;Economy,
Local;Education, Protests;Endangered Habitat, Rainforest;Endangered
Species;Endangered Species, Extinction;antibiotics,
livestock;Pesticides, Water;Environment, Environmentalist;Food, Hunger,
Agriculture, Aid, World, Development;Agriculture, Cotton
Trade;Agriculture, Cotton, Africa;Environment, Energy;Fair Trade (Dem.
Book);Farmland, Sprawl;Fast Food, Globalization, Mapping;depression,
mental illness, mood disorders;Economic Democracy, Corporate
Personhood;Brazil, citizen activism, hope, inspiration, labor
issues;citizen activism, advice, hope;Pharmaceuticals, Medicine,
Drugs;Community Investing;Environment, Consumer Waste Reduction,
Consumer Behavior and Taxes;Hunger, US, Poverty;FERTILITY,
Women;Agricultural subsidies; Foreign aid;Agriculture; Sustainable
Agriculture - Support; Organic Agriculture; Pesticides, US, Childhood
Development, Birth Defects; Toxic Chemicals;Antibiotics,
Animals;Agricultural Subsidies, Global Trade;Agricultural
Subsidies;Biodiversity;Citizen Activism;Community
Gardens;Cooperatives;Dieting;Agricultural subsidies; Foreign
aid;Agriculture; Sustainable Agriculture - Support; Organic
Agriculture; Pesticides, US, Childhood Development, Birth Defects;
Toxic Chemicals;Antibiotics, Animals;Agricultural Subsidies, Global
Trade;Agricultural Subsidies;Biodiversity;Citizen Activism;Community
Gardens;Cooperatives;Dieting;Agriculture, Cotton;Agriculture, Global
Trade;Pesticides, Monsanto;Agriculture, Seed;Coffee, Hunger;Pollution,
Water, Feedlots;Food Prices;Agriculture, Workers;Animal Feed, Corn,
Pesticides;Aquaculture;Chemical
Warfare;Compost;Debt;Consumerism;Fear;Pesticides, US, Childhood
Development, Birth Defects;Corporate Reform,  Personhood (Dem.
Book);Corporate Reform,  Personhood, Farming (Dem. Book);Crime Rates,
Legislation, Education;Debt, Credit Cards;'




More information about the Python-list mailing list