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MemoryError                               Traceback (most recent call last)
Input In [18], in <cell line: 11>()
      9 cv = CountVectorizer(stop_words='english')
     10 X_cv = cv.fit_transform(X_text)
---> 11 X_cv_df = pd.DataFrame(X_cv.toarray(), columns=cv.get_feature_names_out())
     12 X_cv_df = X_cv_df.values.reshape(X.shape[0], -1)
     14 # Split data into training and test sets

File /Analytics/venv/CAPEANALYTICS/lib/python3.8/site-packages/scipy/sparse/compressed.py:1039, in _cs_matrix.toarray(self, order, out)
   1037 if out is None and order is None:
   1038     order = self._swap('cf')[0]
-> 1039 out = self._process_toarray_args(order, out)
   1040 if not (out.flags.c_contiguous or out.flags.f_contiguous):
   1041     raise ValueError('Output array must be C or F contiguous')

File /Analytics/venv/CAPEANALYTICS/lib/python3.8/site-packages/scipy/sparse/base.py:1202, in spmatrix._process_toarray_args(self, order, out)
   1200     return out
   1201 else:
-> 1202     return np.zeros(self.shape, dtype=self.dtype, order=order)

MemoryError: Unable to allocate 18.5 GiB for an array with shape (41880, 59141) and data type int64