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data = [{"content": "1", "title": "chestnut", "info": "", "time": 1578877014},
     {"content": "2", "title": "chestnut", "info": "", "time": 1579877014},
     {"content": "3", "title": "ches", "info": "", "time": 1582877014},
     {"content": "aa", "title": "ap", "info": "", "time": 1582876014},
     {"content": "15", "title": "apple", "info": "", "time": 1581877014},
     {"content": "16", "title": "banana", "info": "", "time": 1561877014},
Mycode
index=[i['content'] for i in data]
s=pd.Series(data,index)
print((s[s.str.get('title').contains('ches',regex=True)]))
Error occured 
AttributeError: 'Series' object has no attribute 'contains'
I want to achieve this effect, how do I use contains 
contais document:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.contains.html#pandas.Series.str.contains.
I want the data to be
{"content": "1", "title": "chestnut", "info": "", "time": 1578877014},
{"content": "2", "title": "chestnut", "info": "", "time": 1579877014},
{"content": "3", "title": "ches", "info": "", "time": 1582877014},
Its better to have a structure that is compatible to the data. Use a dataframe.
DataFrame provides better manipulation of columns and rows. Your data is 2 dimensional i.e. it has items and then each item has attribute with values. Hence fitting into a 2D structure like DataFrame and not a 1D structure like Series.
>>> df = pd.DataFrame(data)
  content     title info        time
0       1  chestnut       1578877014
1       2  chestnut       1579877014
2       3      ches       1582877014
3      aa        ap       1582876014
4      15     apple       1581877014
5      16    banana       1561877014
>>> df[df.title.str.contains('ches')]
  content     title info        time
0       1  chestnut       1578877014
1       2  chestnut       1579877014
2       3      ches       1582877014
For series (Not recommended)
s[s.apply(lambda x: x.get('title')).str.contains('ches')]
        
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