Python 如何将特定列中的单词作为标签分配给新的数据帧

嗨，朋友，我是新来的所以我稍微修改了你的代码，你的步骤3如下所示：

# 3- Countung the seprated words and the frequency of repetation
df_word_count=pd.DataFrame(df.A.str.split(' ').explode().value_counts()).reset_index().rename({'index':"A","A":"Count"},axis=1)
display(df_word_count)
list_word_count=list(df_word_count["A"])
len(list_word_count)

最大的变化是

list\u word\u count=list（df\u word\u count[“a]”）中变量的名称。

代码的其余部分与新变量类似：

# 4- Make a ZERO-Matrix 
allfeatures=np.zeros((df.shape[0],len(list_word_count)))
allfeatures.shape

# 5- Make a For-Loop 
for i in range(len(list_word_count)):
  allfeatures[:,i]=df['A'].agg(lambda x:x.split().count(list_word_count[i]))

# 6- Concat the data
Complete_data=pd.concat([df,pd.DataFrame(allfeatures)],axis=1)
display(Complete_data)

唯一的变化是变量的不同名称。我要做的是第七步

# 7- change columns name from list
#This creates a list of the words you wanted
    l = list(df_word_count["A"])
# if you see this, it shows only the words you have in the column A
# but the result dataset that you showed you wanted, you also had some columns #that had values such as word count, etc. So we need to add that. We do this by #inserting those values you want in the list, at the beginning
    l.insert(0,"char_count")
    l.insert(0,"word_count")
    l.insert(0,"A")
    
# Finally, I rename all the columns with the names that I have in the list l
    Complete_data.columns = l

我明白了：

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谢谢你的支持，但我不知道该怎么办。你能一步一步地告诉我你做了什么吗？我编辑过，希望更清楚