Python实现多条件筛选目标数据功能【测试可用】

a = [('chic', 'JJ'), ('although', 'IN'), ('menu', 'JJ'), ('items', 'NNS'), ('doesnt', 'JJ'),
   ('scream', 'NN'), ('french', 'JJ'), ('cuisine', 'NN')]

# -*- coding:utf-8 -*-
#!python3
a = [('chic', 'JJ'), ('although', 'IN'), ('menu', 'JJ'), ('items', 'NNS'), ('doesnt', 'JJ'),
   ('scream', 'NN'), ('french', 'JJ'), ('cuisine', 'NN')]
def filt_nn(data_text):
  nn_data = filter(lambda x: x[1] == 'NN'or x[1] == 'JJ', data_text)
#  print(list(nn_data))
  return list(nn_data)
print(filt_nn(a))

# -*- coding:utf-8 -*-
#!python3
import pandas as pd
a = [('chic', 'JJ'), ('although', 'IN'), ('menu', 'JJ'), ('items', 'NNS'), ('doesnt', 'JJ'),
   ('scream', 'NN'), ('french', 'JJ'), ('cuisine', 'NN')]
data = pd.DataFrame(a, columns=['word', 'ps'])
print(data[data.ps.isin(['JJ', 'NN'])].word)

# -*- coding:utf-8 -*-
#!python3
a = [('chic', 'JJ'), ('although', 'IN'), ('menu', 'JJ'), ('items', 'NNS'), ('doesnt', 'JJ'),
   ('scream', 'NN'), ('french', 'JJ'), ('cuisine', 'NN')]
absd = []
for i in a:
  if i[1] == 'NN' or i[1] == 'JJ':
    absd.append(i[0])
print(absd)