Deprecation of numpy.int and numpy.float

Author: Jaquier Aurélien Tristan

bluepyopt/deapext/tools/selIBEA.py

@@ -63,7 +63,7 @@ def _calc_fitness_components(population, kappa):
     population_matrix = numpy.fromiter(
         iter(-x for individual in population
              for x in individual.fitness.wvalues),
-        dtype=numpy.float)
+        dtype=numpy.float64)
     pop_len = len(population)
     feat_len = len(population[0].fitness.wvalues)
     population_matrix = population_matrix.reshape((pop_len, feat_len))

bluepyopt/ephys/efeatures.py

@@ -563,7 +563,7 @@ def _filter_response(response, fcut=[0.5, 6000], order=2, filt_type="lfilter"):
 
     trace = response["voltage"]
 
-    if isinstance(fcut, (float, int, np.float, np.integer)):
+    if isinstance(fcut, (float, int, np.floating, np.integer)):
         btype = "highpass"
         band = fcut / fn
     else:

bluepyopt/ephys/extra_features_utils.py

@@ -299,7 +299,7 @@ def repolarization_slope(waveforms, sampling_frequency, return_idx=False):
 
     rslope = np.empty(waveforms.shape[0])
     rslope[:] = np.nan
-    return_to_base_idx = np.empty(waveforms.shape[0], dtype=np.int)
+    return_to_base_idx = np.empty(waveforms.shape[0], dtype=np.int_)
     return_to_base_idx[:] = 0
 
     time = np.arange(0, waveforms.shape[1]) * (1 / sampling_frequency)  # in s

bluepyopt/ipyp/bpopt_tasksdb.py

@@ -98,7 +98,7 @@ def plot_duration_histogram(tasks):
     durations = np.fromiter((t['duration']
                              for task_list in tasks.values()
                              for t in task_list),
-                            dtype=np.float)
+                            dtype=np.float64)
     plt.hist(durations, 100)
 
     plt.xlabel('Duration (s)')