renamed sample_data_3d to sample_data_map

Author: mathause

README.md

@@ -15,6 +15,7 @@ helper functions for cartopy and matplotlib
    * `pad` and `size` are now scaled by the width/ height of the axes (was width/ height of the figure)
    * `pad` now uses the matplotlib default (0.05 for vertical bars and 0.15 for horizontal colorbars)
  * add `_is_monotonic` to `infer_interval_breaks`
+ * renamed `sample_data_3d` to `sample_data_map`
 
 ### 0.1.0 (13.03.2018)
 

mplotutils/cartopy_utils.py

@@ -14,7 +14,7 @@
 # =============================================================================
 
 
-def sample_data_3d(nlons, nlats):
+def sample_data_map(nlons, nlats):
     """Returns `lons`, `lats`, and fake `data`
 
     adapted from:

mplotutils/test/test_sample_data_3d.py renamed to mplotutils/test/test_sample_data_map.py

@@ -1,4 +1,4 @@
-from mplotutils import sample_data_3d
+from mplotutils import sample_data_map
 
 import numpy as np
 
@@ -7,7 +7,7 @@ def test_data_shape():
     nlons = 10
     nlats = 20
 
-    lon, lat, data = sample_data_3d(nlons, nlats)
+    lon, lat, data = sample_data_map(nlons, nlats)
 
     assert len(lon) == nlons
     assert len(lat) == nlats
@@ -17,7 +17,7 @@ def test_data_shape():
     nlons = 5
     nlats = 10
 
-    lon, lat, data = sample_data_3d(nlons, nlats)
+    lon, lat, data = sample_data_map(nlons, nlats)
 
     assert len(lon) == nlons
     assert len(lat) == nlats
@@ -27,15 +27,15 @@ def test_data_shape():
 
 def test_lat():
 
-    __, lat, __ = sample_data_3d(36, 9)
+    __, lat, __ = sample_data_map(36, 9)
 
     expected_lat = np.arange(-80, 81, 20)
     assert np.allclose(lat, expected_lat)
 
 
 def test_lon():
 
-    lon, __, __ = sample_data_3d(36, 9)
+    lon, __, __ = sample_data_map(36, 9)
 
     expected_lon = np.arange(0, 351, 10)
     assert np.allclose(lon, expected_lon)