title: Unable to allocate array with shape (1482535, 67826) and data type int64
body: <p>I am trying to store scipy.sparse.csr.csr_matrix of shape (1482535, 67826) into a dataframe but I am getting an error as below. I am running on Google Cloud Platform with 4CPU's , and 208 GB memory. I can't increase my memory more. How can I solve this issue? Any suggestions are appreciated.</p>
  
  <pre><code>type(x_train_bow_name)`
  scipy.sparse.csr.csr_matrix
  
  
  
  
  
  
  
     data1 = pd.DataFrame(x_train_bow_name.toarray())`
  
  
  
  
          ----------------------------------------------------------------- 
          ----------
          MemoryError                               Traceback (most recent 
          call 
          last)
         &lt;ipython-input-16-283fa4dd2dd6&gt; in &lt;module&gt;
           ----&gt; 1 data1 = pd.DataFrame(x_train_bow_name.toarray())
  
                  /usr/local/lib/python3.5/dist- 
           packages/scipy/sparse/compressed.py in toarray(self, order, out)
              1022         if out is None and order is None:
         1023             order = self._swap('cf')[0]
         -&gt; 1024         out = self._process_toarray_args(order, out)
         1025         if not (out.flags.c_contiguous or 
        out.flags.f_contiguous):
              1026             raise ValueError('Output array must be C or 
           F contiguous')
  
          /usr/local/lib/python3.5/dist-packages/scipy/sparse/base.py in 
             _process_toarray_args(self, order, out)
                  1184             return out
               1185         else:
              -&gt; 1186             return np.zeros(self.shape,  
            dtype=self.dtype, order=order)
           1187 
          1188 
  
       MemoryError: Unable to allocate array with shape (1482535, 67826) 
        and data type int64
  </code></pre>