# (C) British Crown Copyright 2011 - 2020, Met Office # # This file is part of cartopy. # # cartopy is free software: you can redistribute it and/or modify it under # the terms of the GNU Lesser General Public License as published by the # Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # cartopy is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public License # along with cartopy. If not, see . from __future__ import (absolute_import, division, print_function) import os import sysconfig import types import numpy as np import matplotlib.pyplot as plt from PIL import Image import pytest import shapely.geometry as sgeom from cartopy import config import cartopy.crs as ccrs import cartopy.io.img_tiles as cimgt from cartopy.tests.mpl import MPL_VERSION, ImageTesting import cartopy.tests.test_img_tiles as ctest_tiles NATURAL_EARTH_IMG = os.path.join(config["repo_data_dir"], 'raster', 'natural_earth', '50-natural-earth-1-downsampled.png') REGIONAL_IMG = os.path.join(config['repo_data_dir'], 'raster', 'sample', 'Miriam.A2012270.2050.2km.jpg') # We have an exceptionally large tolerance for the web_tiles test. # The basemap changes on a regular basis (for seasons) and we really only # care that it is putting images onto the map which are roughly correct. if MPL_VERSION < '2': web_tiles_tolerance = 12 elif MPL_VERSION < '2.1.0': web_tiles_tolerance = 4.6 else: web_tiles_tolerance = 5.4 @pytest.mark.natural_earth @pytest.mark.network @pytest.mark.xfail(ccrs.PROJ4_VERSION == (5, 0, 0), reason='Proj returns slightly different bounds.', strict=True) @ImageTesting(['web_tiles'], tolerance=web_tiles_tolerance) def test_web_tiles(): extent = [-15, 0.1, 50, 60] target_domain = sgeom.Polygon([[extent[0], extent[1]], [extent[2], extent[1]], [extent[2], extent[3]], [extent[0], extent[3]], [extent[0], extent[1]]]) map_prj = cimgt.GoogleTiles().crs ax = plt.subplot(2, 2, 1, projection=map_prj) gt = cimgt.GoogleTiles() gt._image_url = types.MethodType(ctest_tiles.GOOGLE_IMAGE_URL_REPLACEMENT, gt) img, extent, origin = gt.image_for_domain(target_domain, 1) ax.imshow(np.array(img), extent=extent, transform=gt.crs, interpolation='bilinear', origin=origin) ax.coastlines(color='white') ax = plt.subplot(2, 2, 2, projection=map_prj) qt = cimgt.QuadtreeTiles() img, extent, origin = qt.image_for_domain(target_domain, 1) ax.imshow(np.array(img), extent=extent, transform=qt.crs, interpolation='bilinear', origin=origin) ax.coastlines(color='white') ax = plt.subplot(2, 2, 3, projection=map_prj) osm = cimgt.OSM() img, extent, origin = osm.image_for_domain(target_domain, 1) ax.imshow(np.array(img), extent=extent, transform=osm.crs, interpolation='bilinear', origin=origin) ax.coastlines() @pytest.mark.natural_earth @pytest.mark.network @pytest.mark.xfail(ccrs.PROJ4_VERSION == (5, 0, 0), reason='Proj returns slightly different bounds.', strict=True) @ImageTesting(['image_merge'], tolerance=3.9 if MPL_VERSION < '2' else 0.01) def test_image_merge(): # tests the basic image merging functionality tiles = [] for i in range(1, 4): for j in range(0, 3): tiles.append((i, j, 2)) gt = cimgt.GoogleTiles() gt._image_url = types.MethodType(ctest_tiles.GOOGLE_IMAGE_URL_REPLACEMENT, gt) images_to_merge = [] for tile in tiles: img, extent, origin = gt.get_image(tile) img = np.array(img) x = np.linspace(extent[0], extent[1], img.shape[1], endpoint=False) y = np.linspace(extent[2], extent[3], img.shape[0], endpoint=False) images_to_merge.append([img, x, y, origin]) img, extent, origin = cimgt._merge_tiles(images_to_merge) ax = plt.axes(projection=gt.crs) ax.set_global() ax.coastlines() plt.imshow(img, origin=origin, extent=extent, alpha=0.5) @pytest.mark.xfail((5, 0, 0) <= ccrs.PROJ4_VERSION < (5, 1, 0), reason='Proj Orthographic projection is buggy.', strict=True) @ImageTesting(['imshow_natural_earth_ortho'], tolerance=3.99 if MPL_VERSION < '2' else 0.7) def test_imshow(): source_proj = ccrs.PlateCarree() img = plt.imread(NATURAL_EARTH_IMG) # Convert the image to a byte array, rather than float, which is the # form that JPG images would be loaded with imread. img = (img * 255).astype('uint8') ax = plt.axes(projection=ccrs.Orthographic()) ax.imshow(img, transform=source_proj, extent=[-180, 180, -90, 90]) @pytest.mark.natural_earth @ImageTesting(['imshow_regional_projected'], tolerance=10.4 if MPL_VERSION < '2' else 0.8) def test_imshow_projected(): source_proj = ccrs.PlateCarree() img_extent = (-120.67660000000001, -106.32104523100001, 13.2301484511245, 30.766899999999502) img = plt.imread(REGIONAL_IMG) ax = plt.axes(projection=ccrs.LambertConformal()) ax.set_extent(img_extent, crs=source_proj) ax.coastlines(resolution='50m') ax.imshow(img, extent=img_extent, transform=source_proj) def test_imshow_wrapping(): ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=0.0)) # Set the extent outside of the current projection domain to ensure # it is wrapped back to the (-180, 180) extent of the projection ax.imshow(np.random.random((10, 10)), transform=ccrs.PlateCarree(), extent=(0, 360, -90, 90)) assert ax.get_xlim() == (-180, 180) @pytest.mark.xfail((5, 0, 0) <= ccrs.PROJ4_VERSION < (5, 1, 0), reason='Proj Orthographic projection is buggy.', strict=True) @ImageTesting(['imshow_natural_earth_ortho'], tolerance=4.19 if MPL_VERSION < '2' else 0.7) def test_stock_img(): ax = plt.axes(projection=ccrs.Orthographic()) ax.stock_img() @pytest.mark.xfail((5, 0, 0) <= ccrs.PROJ4_VERSION < (5, 1, 0), reason='Proj Orthographic projection is buggy.', strict=True) @ImageTesting(['imshow_natural_earth_ortho'], tolerance=3.99 if MPL_VERSION < '2' else 0.7) def test_pil_Image(): img = Image.open(NATURAL_EARTH_IMG) source_proj = ccrs.PlateCarree() ax = plt.axes(projection=ccrs.Orthographic()) ax.imshow(img, transform=source_proj, extent=[-180, 180, -90, 90]) @pytest.mark.xfail('i386' in sysconfig.get_config_var('MULTIARCH'), reason='Limitations of i386 architecture') @pytest.mark.xfail((5, 0, 0) <= ccrs.PROJ4_VERSION < (5, 1, 0), reason='Proj Orthographic projection is buggy.', strict=True) @ImageTesting(['imshow_natural_earth_ortho'], tolerance=4.2 if MPL_VERSION < '2' else 0.5) def test_background_img(): ax = plt.axes(projection=ccrs.Orthographic()) ax.background_img(name='ne_shaded', resolution='low')