check numpy version for trapz vs trapezoid

anesthetic/plot.py

@@ -9,6 +9,7 @@
 to create a set of axes and legend proxies.
 
 """
+from packaging import version
 import numpy as np
 from pandas import Series, DataFrame
 import matplotlib.pyplot as plt
@@ -839,7 +840,11 @@ def fastkde_plot_1d(ax, data, *args, **kwargs):
     p /= p.max()
     i = ((x > quantile(x, q[0], p)) & (x < quantile(x, q[-1], p)))
 
-    area = np.trapezoid(x=x[i], y=p[i]) if density else 1
+    if version.parse(np.__version__) >= version.parse("2.0.0"):
+        trapezoid = np.trapezoid
+    else:
+        trapezoid = np.trapz
+    area = trapezoid(x=x[i], y=p[i]) if density else 1
     if ax.get_xaxis().get_scale() == 'log':
         x = 10**x
     ans = ax.plot(x[i], p[i]/area, color=color, *args, **kwargs)
@@ -962,7 +967,11 @@ def kde_plot_1d(ax, data, *args, **kwargs):
     bw = np.sqrt(kde.covariance[0, 0])
     pp = cut_and_normalise_gaussian(x, p, bw, xmin=data.min(), xmax=data.max())
     pp /= pp.max()
-    area = np.trapezoid(x=x, y=pp) if density else 1
+    if version.parse(np.__version__) >= version.parse("2.0.0"):
+        trapezoid = np.trapezoid
+    else:
+        trapezoid = np.trapz
+    area = trapezoid(x=x, y=pp) if density else 1
     if ax.get_xaxis().get_scale() == 'log':
         x = 10**x
     ans = ax.plot(x, pp/area, color=color, *args, **kwargs)