Question

我想知道是否有办法使用Python搜索关键字列表。我可以使用PostgreSQL搜索我的数据。这是我的PostgreSQL代码

-- | Properties to check that the 'Applicative' @m@ satisfies the applicative
-- properties
applicative :: forall m a b c.
               ( Applicative m
               , Arbitrary a, CoArbitrary a, Arbitrary b, Arbitrary (m a)
               , Arbitrary (m (b -> c)), Show (m (b -> c))
               , Arbitrary (m (a -> b)), Show (m (a -> b))
               , Show a, Show (m a)
               , EqProp (m a), EqProp (m b), EqProp (m c)
               ) =>
               m (a,b,c) -> TestBatch
applicative = const ( "applicative"
                    , [ ("identity"    , property identityP)
                      , ("composition" , property compositionP)
                      , ("homomorphism", property homomorphismP)
                      , ("interchange" , property interchangeP)
                      , ("functor"     , property functorP)
                      ]
                    )
 where
   identityP     :: m a -> Property
   compositionP  :: m (b -> c) -> m (a -> b) -> m a -> Property
   homomorphismP :: (a -> b) -> a -> Property
   interchangeP  :: m (a -> b) -> a -> Property
   functorP      :: (a -> b) -> m a -> Property

   identityP v        = (pure id <*> v) =-= v
   compositionP u v w = (pure (.) <*> u <*> v <*> w) =-= (u <*> (v <*> w))
   homomorphismP f x  = (pure f <*> pure x) =-= (pure (f x) :: m b)
   interchangeP u y   = (u <*> pure y) =-= (pure ($ y) <*> u)
   functorP f x       = (fmap f x) =-= (pure f <*> x)

我不知道Python是否是最好的方法，但我复制的工作使用Python并且希望坚持使用Python。

我能够搜索一个关键字，但不知道如何做多个。

SELECT distinct ON (id) id, year, cost, description
FROM mydata
WHERE description similar to'%((hotel)||(travel)|(taxi)|(food))%';

我需要帮助

1）使用多个关键字进行搜索

2）将数据导出回csv

的方法

Answer 1

> import pandas as pd

使用contains

进行多个关键字搜索

> df = pd.read_csv('mydata.csv')
> df[df.description.str.contains('hotel|travel|taxi|food')]

导出到csv

> df.to_csv('new.csv')

使用Python在大型CSV文件中搜索关键字

1 个答案: