code: def test_plot_projs_joint():
      """Test plot_projs_joint."""
      evoked = read_evokeds(evoked_fname)[0].apply_baseline((None, 0))
      evoked.info["bads"] = []
      n_mag, n_grad, n_eeg = 9, 10, 11
      n_mag_proj, n_grad_proj, n_eeg_proj = 2, 2, 1
      # We pick in this weird order to ensure our plotting order follows it
      picks = np.concatenate(
          [
              pick_types(evoked.info, meg="grad")[:n_grad],
              pick_types(evoked.info, meg=False, eeg=True)[:n_eeg],
              pick_types(evoked.info, meg="mag")[:n_mag],
          ]
      )
      evoked.pick(picks)
      assert len(evoked.ch_names) == n_mag + n_grad + n_eeg
      assert evoked.get_channel_types(unique=True) == [
          "grad",
          "eeg",
          "mag",
      ]
      projs = compute_proj_evoked(
          evoked, n_mag=n_mag_proj, n_grad=n_grad_proj, n_eeg=n_eeg_proj
      )
      assert len(projs) == 5
      with pytest.warns(RuntimeWarning, match="aliasing"):
          evoked.crop(-0.1, 0.1).decimate(10)
      topomap_kwargs = dict(res=8, contours=0, sensors=False)
      fig = plot_projs_joint(
          projs, evoked, topomap_kwargs=topomap_kwargs, verbose="error"
      )
      ylab = fig.axes[0].get_ylabel()
      assert ylab.startswith("Grad"), ylab
      ylab = fig.axes[4].get_ylabel()
      assert ylab.startswith("EEG"), ylab
      ylab = fig.axes[7].get_ylabel()
      assert ylab.startswith("Mag"), ylab
      mag_trace_ax_idx = 10
      mag_trace_ax = fig.axes[mag_trace_ax_idx]
      assert mag_trace_ax.get_ylabel() == ""
      assert len(mag_trace_ax.lines) == n_mag + 2 * n_mag_proj
      old_len = len(mag_trace_ax.lines)
      assert len(fig.axes) == 11  # 3x4
      fig = plot_projs_joint(
          projs,
          evoked,
          picks_trace="MEG 0111",
          topomap_kwargs=topomap_kwargs,
          verbose="error",
      )
      assert len(fig.axes[mag_trace_ax_idx].lines) == old_len + 1
  
imports: import numpy
  import pytest
  from mne import compute_proj_evoked, pick_types, read_evokeds
  from mne.datasets import testing
  from mne.viz import plot_projs_joint
label_desc: Use image node_id 1 for calling a global function with example usage: test_plot_projs_joint() without return types