docs: def analyze(self, mode=None, timesteps=None):
          """Analyzes the grid by power flow analysis
  
          Analyze the grid for violations of hosting capacity. Means, perform a
          power flow analysis and obtain voltages at nodes (load, generator,
          stations/transformers and branch tees) and active/reactive power at
          lines.
  
          The power flow analysis can currently only be performed for both grid
          levels MV and LV. See ToDos section for more information.
  
          A static `non-linear power flow analysis is performed using PyPSA
          <https://www.pypsa.org/doc/power_flow.html#full-non-linear-power-flow>`_.
          The high-voltage to medium-voltage transformer are not included in the
          analysis. The slack bus is defined at secondary side of these
          transformers assuming an ideal tap changer. Hence, potential
          overloading of the transformers is not studied here.
  
          Parameters
          ----------
          mode : str
              Allows to toggle between power flow analysis (PFA) on the whole
              grid topology (MV + LV), only MV or only LV. Defaults to None which
              equals power flow analysis for MV + LV which is the only
              implemented option at the moment. See ToDos section for
              more information.
          timesteps : :pandas:`pandas.DatetimeIndex<datetimeindex>` or :pandas:`pandas.Timestamp<timestamp>`
              Timesteps specifies for which time steps to conduct the power flow
              analysis. It defaults to None in which case the time steps in
              timeseries.timeindex (see :class:`~.grid.network.TimeSeries`) are
              used.
  
          Notes
          -----
          The current implementation always translates the grid topology
          representation to the PyPSA format and stores it to
          :attr:`self.network.pypsa`.
  
          ToDos
          ------
          The option to export only the edisgo MV grid (mode = 'mv') to conduct
          a power flow analysis is implemented in
          :func:`~.tools.pypsa_io.to_pypsa` but NotImplementedError is raised
          since the rest of edisgo does not handle this option yet. The analyze
          function will throw an error since
          :func:`~.tools.pypsa_io.process_pfa_results`
          does not handle aggregated loads and generators in the LV grids. Also,
          grid reinforcement, pypsa update of time series, and probably other
          functionalities do not work when only the MV grid is analysed.
  
          Further ToDos are:
          * explain how power plants are modeled, if possible use a link
          * explain where to find and adjust power flow analysis defining
          parameters
  
          See Also
          --------
          :func:`~.tools.pypsa_io.to_pypsa`
              Translator to PyPSA data format
  
          """
          if timesteps is None:
              timesteps = self.network.timeseries.timeindex
          # check if timesteps is array-like, otherwise convert to list
          if not hasattr(timesteps, "__len__"):
              timesteps = [timesteps]
  
          if self.network.pypsa is None:
              # Translate eDisGo grid topology representation to PyPSA format
              self.network.pypsa = pypsa_io.to_pypsa(
                  self.network, mode, timesteps)
          else:
              if self.network.pypsa.edisgo_mode is not mode:
                  # Translate eDisGo grid topology representation to PyPSA format
                  self.network.pypsa = pypsa_io.to_pypsa(
                      self.network, mode, timesteps)
  
          # check if all timesteps are in pypsa.snapshots, if not update time
          # series
          if False in [True if _ in self.network.pypsa.snapshots else False
                       for _ in timesteps]:
              pypsa_io.update_pypsa_timeseries(self.network, timesteps=timesteps)
          # run power flow analysis
          pf_results = self.network.pypsa.pf(timesteps)
  
          if all(pf_results['converged']['0'].tolist()):
              pypsa_io.process_pfa_results(
                  self.network, self.network.pypsa, timesteps)
          else:
              raise ValueError("Power flow analysis did not converge.")