Moving sample_data imports out of cartopy namespace.

examples/scalar_data/contour_labels.py

@@ -8,7 +8,7 @@
 import cartopy.crs as ccrs
 import matplotlib.pyplot as plt
 
-from cartopy.examples.waves import sample_data
+from waves import sample_data
 
 
 def main():

examples/vector_data/barbs.py

@@ -8,7 +8,7 @@
 import matplotlib.pyplot as plt
 
 import cartopy.crs as ccrs
-from cartopy.examples.arrows import sample_data
+from arrows import sample_data
 
 
 def main():

examples/vector_data/streamplot.py

@@ -8,7 +8,7 @@
 import matplotlib.pyplot as plt
 
 import cartopy.crs as ccrs
-from cartopy.examples.arrows import sample_data
+from arrows import sample_data
 
 
 def main():

lib/cartopy/tests/mpl/test_caching.py

@@ -11,6 +11,7 @@
 except ImportError:
     WebMapTileService = None
 import matplotlib.pyplot as plt
+import numpy as np
 import pytest
 
 import cartopy.crs as ccrs
@@ -19,10 +20,25 @@
 import cartopy.io.shapereader
 import cartopy.mpl.geoaxes as cgeoaxes
 import cartopy.mpl.patch
-from cartopy.examples.waves import sample_data
 from cartopy.tests.mpl import ImageTesting
 
 
+def sample_data(shape=(73, 145)):
+    """Return ``lons``, ``lats`` and ``data`` of some fake data."""
+    nlats, nlons = shape
+    lats = np.linspace(-np.pi / 2, np.pi / 2, nlats)
+    lons = np.linspace(0, 2 * np.pi, nlons)
+    lons, lats = np.meshgrid(lons, lats)
+    wave = 0.75 * (np.sin(2 * lats) ** 8) * np.cos(4 * lons)
+    mean = 0.5 * np.cos(2 * lats) * ((np.sin(2 * lats)) ** 2 + 2)
+
+    lats = np.rad2deg(lats)
+    lons = np.rad2deg(lons)
+    data = wave + mean
+
+    return lons, lats, data
+
+
 class CallCounter:
     """
     Exposes a context manager which can count the number of calls to a specific