replace removed scipy.interpolate.spline

scipy.interpolate.spline was deprecated in 0.19.0 and removed in 1.3.0 see here.

This is used for the calibration plotting. I updated the call to scipy.interpolate.spline to use scipy.interpolate.interp1d. This is the same method as is used in the calibration module. We may want to make a change down the line to make the plotting use the code from the calibration module.

This is currently broken in the current ligo cvmfs builds so we should fix ASAP.

bilby/gw/utils.py

@@ -3,7 +3,7 @@ import os
 import json
 
 import numpy as np
-from scipy import interpolate
+from scipy.interpolate import interp1d
 import matplotlib.pyplot as plt
 
 from ..core.utils import (gps_time_to_gmst, ra_dec_to_theta_phi,
@@ -923,14 +923,15 @@ def plot_spline_pos(log_freqs, samples, nfreqs=100, level=0.9, color='k', label=
                  fmt='.', color=color, lw=4, alpha=0.5, capsize=0)
 
     for i, sample in enumerate(samples):
-        temp = interpolate.spline(log_freqs, sample, np.log(freqs))
+        temp = interp1d(
+            log_freqs, sample, kind="cubic", fill_value=0,
+            bounds_error=False)(np.log(freqs))
         if xform is None:
             data[i] = temp
         else:
             data[i] = xform(temp)
 
-    line, = plt.plot(freqs, np.mean(data, axis=0), color=color, label=label)
-    color = line.get_color()
+    plt.plot(freqs, np.mean(data, axis=0), color=color, label=label)
     plt.fill_between(freqs, data_summary.lower_absolute_credible_interval,
                      data_summary.upper_absolute_credible_interval,
                      color=color, alpha=.1, linewidth=0.1)