eval_bootstrap.ipynb

    "# set titles\n",
    "axes[0].set_title('Era-5', fontsize=18, pad=10);\n",
    "axes[1].set_title('Era-5: QM-adjusted', fontsize=18, pad=10);\n",
    "axes[2].set_title('Ensemble-{:d} (mean)'.format(len(models[min_loss])), fontsize=18, pad=10)\n",
    "\n",
    "# adjust axes\n",
    "for ax in axes.flat:\n",
    "    ax.axes.get_xaxis().set_ticklabels([])\n",
    "    ax.axes.get_xaxis().set_ticks([])\n",
    "    ax.axes.get_yaxis().set_ticklabels([])\n",
    "    ax.axes.get_yaxis().set_ticks([])\n",
    "    ax.axes.axis('tight')\n",
    "    ax.set_xlabel('')\n",
    "    ax.set_ylabel('')\n",
    "    ax.set_axis_off()\n",
    "\n",
    "# adjust figure\n",
    "fig.subplots_adjust(hspace=0, wspace=0, top=0.85)\n",
    "\n",
    "# add colorbar\n",
    "axes = axes.flatten()\n",
    "cbar_ax_bias = fig.add_axes([axes[-1].get_position().x1 + 0.01, axes[-1].get_position().y0,\n",
    "                             0.01, axes[-1].get_position().y1 - axes[-1].get_position().y0])\n",
    "cbar_bias = fig.colorbar(im3, cax=cbar_ax_bias)\n",
    "cbar_bias.set_label(label='Bias (%)' if PREDICTAND == 'pr' else 'Bias (°C)', fontsize=16)\n",
    "cbar_bias.ax.tick_params(labelsize=16, pad=10)\n",
    "\n",
    "# save figure\n",
    "fig.savefig('./Figures/bootstrap/{}_spatial_bias.pdf'.format(PREDICTAND), bbox_inches='tight')"
   ]
  }
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