SPEC 0: Bump minimum supported version to NumPy 2.0

.github/workflows/ci_tests.yaml

@@ -72,7 +72,7 @@ jobs:
         include:
           # Python 3.11 + core packages (minimum supported versions) + optional packages (minimum supported versions if any)
           - python-version: '3.11'
-            numpy-version: '1.26'
+            numpy-version: '2.0'
             pandas-version: '=2.2'
             xarray-version: '=2023.10'
             optional-packages: ' contextily geopandas ipython pyarrow-core rioxarray netCDF4 sphinx-gallery'

.github/workflows/ci_tests_legacy.yaml

@@ -61,7 +61,7 @@ jobs:
             python=3.11
             gmt=${{ matrix.gmt_version }}
             ghostscript<10
-            numpy=1.26
+            numpy=2.0
             pandas
             xarray
             packaging=24.2

environment.yml

@@ -7,7 +7,7 @@ dependencies:
     # Required dependencies
     - gmt=6.5.0
     - ghostscript=10.04.0
-    - numpy>=1.26
+    - numpy>=2.0
     - pandas>=2.2
     - xarray>=2023.10
     - packaging>=24.2

pygmt/datatypes/image.py

@@ -70,7 +70,7 @@ class _GMT_IMAGE(ctp.Structure):  # noqa: N801
     >>> data.shape
     (180, 360, 3)
     >>> data.min(), data.max()
-    (10, 255)
+    (np.uint8(10), np.uint8(255))
     """
 
     _fields_: ClassVar = [
@@ -139,17 +139,18 @@ def to_xarray(self) -> xr.DataArray:
                 ...,
                 [177, 179, 179, ..., 178, 177, 177],
                 [185, 187, 187, ..., 187, 186, 185],
-                [189, 191, 191, ..., 191, 191, 189]]], dtype=uint8)
+                [189, 191, 191, ..., 191, 191, 189]]],
+              shape=(3, 180, 360), dtype=uint8)
         Coordinates:
           * y        (y) float64... 89.5 88.5 87.5 86.5 ... -86.5 -87.5 -88.5 -89.5
           * x        (x) float64... -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5
           * band     (band) uint8... 1 2 3
         Attributes:
-            long_name:     z
+            long_name:  z
 
         >>> da.coords["x"]  # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS
         <xarray.DataArray 'x' (x: 360)>...
-        array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5])
+        array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5], shape=(360,))
         Coordinates:
           * x        (x) float64... -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5
         Attributes:

pygmt/tests/test_clib_to_numpy.py

@@ -3,7 +3,6 @@
 """
 
 import datetime
-import sys
 
 import numpy as np
 import numpy.testing as npt
@@ -52,14 +51,7 @@ def _check_result(result, expected_dtype):
 @pytest.mark.parametrize(
     ("data", "expected_dtype"),
     [
-        # TODO(NumPy>=2.0): Remove the if-else statement after NumPy>=2.0.
-        pytest.param(
-            [1, 2, 3],
-            np.int32
-            if sys.platform == "win32" and Version(np.__version__) < Version("2.0")
-            else np.int64,
-            id="int",
-        ),
+        pytest.param([1, 2, 3], np.int64, id="int"),
         pytest.param([1.0, 2.0, 3.0], np.float64, id="float"),
         pytest.param(
             [complex(+1), complex(-2j), complex("-Infinity+NaNj")],

pyproject.toml

@@ -35,7 +35,7 @@ classifiers = [
     "Programming Language :: Python :: 3.13",
 ]
 dependencies = [
-    "numpy>=1.26",
+    "numpy>=2.0",
     "pandas>=2.2",
     "xarray>=2023.10",
     "packaging>=24.2",

requirements.txt

@@ -1,5 +1,5 @@
 # Required packages
-numpy>=1.26
+numpy>=2.0
 pandas>=2.2
 xarray>=2023.10
 packaging>=24.2