[Python] Figure watermark

watermark.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Watermark figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from watermark import savefig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "\n",
    "ax.plot([0, 1, 3, 5], [2, -4, 6, 7], 'ro-')\n",
    "\n",
    "ax.set_title('My title', weight='bold')\n",
    "ax.set_xlabel('X-axis')\n",
    "ax.set_ylabel('Y-axis')\n",
    "\n",
    "ax2 = ax.twinx().twiny()\n",
    "\n",
    "ax2.set_xlabel('X-axis 2')\n",
    "ax2.set_ylabel('Y-axis 2')\n",
    "\n",
    "savefig(fig, 'Example.png');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

watermark.py

"""Watermark figure module."""

import os
from datetime import datetime as dt


AUTHOR = 'Benoit Seignovert'


def savefig(fig, fname, root='.', author=AUTHOR, fontsize=12,
            transparent=True, bbox_inches='tight',
            **kwargs):
    """Save matplotlib figure with author watermark.

    Parameters
    ----------
    fig: matplotlib.figure.Figure
        Matplotlib figure.
    fname: str
        Filename of the figure.
    root: str, optional
        File root output directory.
    author: str, optional
        Figure author name.
    fontsize: int, optional
        Watermark fontsize.
    transparent: bool, optional
        Enable transparency for PNG export.
    bbox_inches:
        Set tight export.

    See Also
    --------
    :py:func:`matplotlib.pyplot.savefig`

    """
    ax = fig.add_axes([.9, 0, .1, 1], frameon=False)
    ax.set_zorder(-1)
    ax.set_xticks([])
    ax.set_yticks([])
    ax.set_xlim(-1, 1)
    ax.set_ylim(-1, 1)

    ax.text(0, 0, f'{author} ({dt.now().date()}) - {fname}',
            fontsize=fontsize, fontstyle='italic', weight='bold',
            va='center', ha='center', alpha=.75, rotation=90)

    fig.savefig(os.path.join(root, fname), transparent=transparent,
                bbox_inches=bbox_inches, **kwargs)