title: Conversion of huge Sparse Csr_matrix tp Pandas dataframe
body: <p>I have a huge sparse matrix created using the TFIDF vectorizer. The size is (192134, 76954). However, I had to convert this into pandas Dataframe. However while trying with the</p>
  
  <p>pd.DataFrame(vectors.toarray()) or 
  pd.DataFrame(vectors.todense()) </p>
  
  <p>(where vectors is the sparse matrix in sparse.csr_matrix form), gives me memory error. </p>
  
  <p>Could someone help me to convert such huge sparse matrix into pandas dataframe.</p>
  
  <p>Thanks in advance :)</p>