Adding gridline labels to a cartopy Lambert Conformal projection plot

LambertConformalTicks.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#Labelling grid lines on a Lambert Conformal projection\n",
    "\n",
    "In response to the StackOverflow question here: http://stackoverflow.com/questions/27962953/cartopy-axis-label-workaround.\n",
    "\n",
    "Notes:\n",
    "* The map boundary must be rectangular, otherwise the detection of which axis to label will be broken.\n",
    "* Requires cartopy >= 0.12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from copy import copy\n",
    "\n",
    "%matplotlib inline\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.gridliner import LATITUDE_FORMATTER, LONGITUDE_FORMATTER\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import shapely.geometry as sgeom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def find_side(ls, side):\n",
    "    \"\"\"\n",
    "    Given a shapely LineString which is assumed to be rectangular, return the\n",
    "    line corresponding to a given side of the rectangle.\n",
    "    \n",
    "    \"\"\"\n",
    "    minx, miny, maxx, maxy = ls.bounds\n",
    "    points = {'left': [(minx, miny), (minx, maxy)],\n",
    "              'right': [(maxx, miny), (maxx, maxy)],\n",
    "              'bottom': [(minx, miny), (maxx, miny)],\n",
    "              'top': [(minx, maxy), (maxx, maxy)],}\n",
    "    return sgeom.LineString(points[side])\n",
    "\n",
    "\n",
    "def lambert_xticks(ax, ticks):\n",
    "    \"\"\"Draw ticks on the bottom x-axis of a Lambert Conformal projection.\"\"\"\n",
    "    te = lambda xy: xy[0]\n",
    "    lc = lambda t, n, b: np.vstack((np.zeros(n) + t, np.linspace(b[2], b[3], n))).T\n",
    "    xticks, xticklabels = _lambert_ticks(ax, ticks, 'bottom', lc, te)\n",
    "    ax.xaxis.tick_bottom()\n",
    "    ax.set_xticks(xticks)\n",
    "    ax.set_xticklabels([ax.xaxis.get_major_formatter()(xtick) for xtick in xticklabels])\n",
    "    \n",
    "\n",
    "def lambert_yticks(ax, ticks):\n",
    "    \"\"\"Draw ricks on the left y-axis of a Lamber Conformal projection.\"\"\"\n",
    "    te = lambda xy: xy[1]\n",
    "    lc = lambda t, n, b: np.vstack((np.linspace(b[0], b[1], n), np.zeros(n) + t)).T\n",
    "    yticks, yticklabels = _lambert_ticks(ax, ticks, 'left', lc, te)\n",
    "    ax.yaxis.tick_left()\n",
    "    ax.set_yticks(yticks)\n",
    "    ax.set_yticklabels([ax.yaxis.get_major_formatter()(ytick) for ytick in yticklabels])\n",
    "\n",
    "def _lambert_ticks(ax, ticks, tick_location, line_constructor, tick_extractor):\n",
    "    \"\"\"Get the tick locations and labels for an axis of a Lambert Conformal projection.\"\"\"\n",
    "    outline_patch = sgeom.LineString(ax.outline_patch.get_path().vertices.tolist())\n",
    "    axis = find_side(outline_patch, tick_location)\n",
    "    n_steps = 30\n",
    "    extent = ax.get_extent(ccrs.PlateCarree())\n",
    "    _ticks = []\n",
    "    for t in ticks:\n",
    "        xy = line_constructor(t, n_steps, extent)\n",
    "        proj_xyz = ax.projection.transform_points(ccrs.Geodetic(), xy[:, 0], xy[:, 1])\n",
    "        xyt = proj_xyz[..., :2]\n",
    "        ls = sgeom.LineString(xyt.tolist())\n",
    "        locs = axis.intersection(ls)\n",
    "        if not locs:\n",
    "            tick = [None]\n",
    "        else:\n",
    "            tick = tick_extractor(locs.xy)\n",
    "        _ticks.append(tick[0])\n",
    "    # Remove ticks that aren't visible:    \n",
    "    ticklabels = copy(ticks)\n",
    "    while True:\n",
    "        try:\n",
    "            index = _ticks.index(None)\n",
    "        except ValueError:\n",
    "            break\n",
    "        _ticks.pop(index)\n",
    "        ticklabels.pop(index)\n",
    "    return _ticks, ticklabels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "rkJggg==\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd4902e4890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a Lambert Conformal projection:\n",
    "proj = ccrs.LambertConformal(central_longitude=13.3333, central_latitude=47.5,\n",
    "                             false_easting=400000, false_northing=400000,\n",
    "                             standard_parallels=(46, 49))\n",
    "\n",
    "# Draw a set of axes with coastlines:\n",
    "fig = plt.figure(figsize=(9, 9), frameon=True)\n",
    "ax = fig.add_axes([0.08, 0.05, 0.8, 0.94], projection=proj)\n",
    "ax.set_extent([-5, 31, 42, 55], crs=ccrs.PlateCarree())\n",
    "ax.coastlines(resolution='50m')\n",
    "\n",
    "# *must* call draw in order to get the axis boundary used to add ticks:\n",
    "fig.canvas.draw()\n",
    "\n",
    "# Define gridline locations and draw the lines using cartopy's built-in gridliner:\n",
    "xticks = [-110, -50, -40, -30, -20, -11, 0, 10, 20, 30, 40, 50]\n",
    "yticks = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80]\n",
    "ax.gridlines(xlocs=xticks, ylocs=yticks)\n",
    "\n",
    "# Label the end-points of the gridlines using the custom tick makers:\n",
    "ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) \n",
    "ax.yaxis.set_major_formatter(LATITUDE_FORMATTER)\n",
    "lambert_xticks(ax, xticks)\n",
    "lambert_yticks(ax, yticks)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}

For the record, this works on stereographic projections as well. Thank you so much for this code... made the transition to NCL for a few things much cleaner.

FYI, labeling grid lines is now supported on any cartopy projection as of cartopy v0.18. See https://twitter.com/QuLogic/status/1257148289838911488

amazing!

Modifying gridlines:

ax.gridlines(xlocs=xticks, ylocs=yticks, draw_labels=False, linewidth=0.5, color='k', alpha=0.5, linestyle='--')

Modifying tic_params:

ax.tick_params(axis='both',labelsize=6,direction='out',right=False,top=False)

That worked great! Thanks!
I just received the warning indicated below, let me know if this has been updated!
:50: DeprecationWarning: The outline_patch property is deprecated. Use GeoAxes.spines['geo'] or the default Axes properties instead.
outline_patch = sgeom.LineString(ax.outline_patch.get_path().vertices.tolist())