code: def network_pf(network, snapshots=None, skip_pre=False, x_tol=1e-6, use_seed=False):
      
  
      return _network_prepare_and_run_pf(network, snapshots, skip_pre, linear=False, x_tol=x_tol, use_seed=use_seed)
docs: Full non-linear power flow for generic network.
  
      Parameters
      ----------
      snapshots : list-like|single snapshot
          A subset or an elements of network.snapshots on which to run
          the power flow, defaults to network.snapshots
      skip_pre: bool, default False
          Skip the preliminary steps of computing topology, calculating dependent values and finding bus controls.
      x_tol: float
          Tolerance for Newton-Raphson power flow.
      use_seed : bool, default False
          Use a seed for the initial guess for the Newton-Raphson algorithm.
  
      Returns
      -------
      Dictionary with keys 'n_iter', 'converged', 'error' and dataframe
      values indicating number of iterations, convergence status, and
      iteration error for each snapshot (rows) and sub_network (columns)