Pandas数据帧内存python

Question

我想把一个稀疏矩阵（156060x11780）转换成数据帧，但是我得到了一个内存错误这是我的代码

vect = TfidfVectorizer(sublinear_tf=True, analyzer='word', 
                       stop_words='english' , tokenizer=tokenize,
                       strip_accents = 'ascii') 

X = vect.fit_transform(df.pop('Phrase')).toarray()

for i, col in enumerate(vect.get_feature_names()):
    df[col] = X[:, i]

我在X = vect.fit_transform(df.pop('Phrase')).toarray()中遇到问题。我该怎么解决呢？在

Answer 1

试试这个：

from sklearn.feature_extraction.text import TfidfVectorizer
vect = TfidfVectorizer(sublinear_tf=True, analyzer='word', stop_words='english',
                       tokenizer=tokenize,
                       strip_accents='ascii',dtype=np.float16)
X = vect.fit_transform(df.pop('Phrase'))  # NOTE: `.toarray()` was removed


for i, col in enumerate(vect.get_feature_names()):
    df[col] = pd.SparseSeries(X[:, i].toarray().reshape(-1,), fill_value=0)

更新：对于Pandas 0.20+我们可以直接从稀疏数组构造SparseDataFrame：

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