问题
I don't understand this error... I've already turned df into lowercase before turning it into a list
dataframe:
all_cols
0 who is your hero and why
1 what do you do to relax
2 this is a hero
4 how many hours of sleep do you get a night
5 describe the last time you were relax
Code:
from sklearn.cluster import MeanShift
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import FunctionTransformer
from sklearn.feature_extraction.text import TfidfVectorizer
df['all_cols'] = df['all_cols'].str.lower()
df_list = df.values.tolist()
pipeline = Pipeline(steps=[
('tfidf', TfidfVectorizer()),
('trans', FunctionTransformer(lambda x: x.todense(), accept_sparse=True)),
('clust', MeanShift())])
pipeline.fit(df_list)
pipeline.named_steps['clust'].labels_
result = [(label,doc) for doc,label in zip(df_list, pipeline.named_steps['clust'].labels_)]
for label,doc in sorted(result):
print(label, doc)
But I have an error in this line:
AttributeError Traceback (most recent call last) in
----> 1 pipeline.fit(df_list)
2 pipeline.named_steps['clust'].labels_
AttributeError: 'list' object has no attribute 'lower'
But why is the program returning a lowercase error if I've already passed the lowercase dataframe before?
回答1:
Specified column for df_list
for avoid nested lists:
df_list = df.values.tolist()
print (df_list)
[['who is your hero and why'],
['what do you do to relax'],
['this is a hero'],
['how many hours of sleep do you get a night'],
['describe the last time you were relax']]
df_list = df['all_cols'].values.tolist()
print (df_list)
['who is your hero and why',
'what do you do to relax',
'this is a hero',
'how many hours of sleep do you get a night',
'describe the last time you were relax']
回答2:
Convert it into pandas data frame and then do the operation you are doing above. It will work. I have still pasted the snippet and you can try yourself.
import pandas as pd
col = pd.Series(["who is your hero and why", "what do you do to relax", "this is a hero", "how many hours of sleep do you get a night", "describe the last time you were relax"])
fr = {"all_cols":col}
df = pd.DataFrame(fr)
df['all_cols'] = df['all_cols'].str.lower()
df_list = df.values.tolist()
来源:https://stackoverflow.com/questions/56683001/attributeerror-list-object-has-no-attribute-lower-in-a-lowercase-datafram