code: def drop_empty_records(x, axis=1):
      
      # load module
      import numpy as np
      # input args check
      if not isinstance(x, np.ndarray or np.matrix):
          raise ValueError("x is not a numpy.ndarray or numpy.matrix.")
  
      # index
      idx = np.logical_not(np.all(np.logical_or(
          np.isnan(x), np.isinf(x)), axis=axis))
  
      if axis is 1:
          return x[idx, :].copy()
      elif axis is 0:
          return x[:, idx].copy()
      else:
          raise ValueError("only 2-dimensional datasets are supported.")
docs: delete data items that contains only nan (or inf)