bump dependencies, support numpy >= 2.0

Author: amorison

pyproject.toml

@@ -1,5 +1,5 @@
 [build-system]
-requires = ["setuptools>=61"]
+requires = ["setuptools>=74"]
 build-backend = "setuptools.build_meta"
 
 [project]
@@ -29,13 +29,13 @@ classifiers = [
 ]
 requires-python = ">=3.9"
 dependencies = [
-    "loam>=0.8.0,<0.9.0",
+    "loam~=0.8.0",
     "f90nml>=1.4.4",
-    "numpy>=1.24,<2.0",
-    "scipy>=1.10",
-    "pandas>=2.0",
-    "h5py>=3.10",
-    "matplotlib>=3.7",
+    "numpy~=2.0",
+    "scipy~=1.13",
+    "pandas~=2.2",
+    "h5py~=3.11",
+    "matplotlib~=3.9",
 ]
 
 [project.scripts]

stagpy/time_series.py

@@ -7,6 +7,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
+from scipy.integrate import trapezoid
 
 from . import _helpers
 from .config import Config
@@ -113,10 +114,10 @@ def compstat(
     for name in names:
         series = sdat.tseries.tslice(name, tstart, tend)
         delta_time = series.time[-1] - series.time[0]
-        mean = np.trapz(series.values, x=series.time) / delta_time
+        mean = trapezoid(series.values, x=series.time) / delta_time
         stats.loc["mean", name] = mean
         stats.loc["rms", name] = np.sqrt(
-            np.trapz((series.values - mean) ** 2, x=series.time) / delta_time
+            trapezoid((series.values - mean) ** 2, x=series.time) / delta_time
         )
     return stats