Change HDF5 file and dataset names

jackknife.py

 import numpy as np
 import h5py
+import time
 
 
 # TODO: Exceptions!
@@ -8,7 +9,7 @@ import h5py
 # TODO: Rewrite docstring with argument descriptions
 def do_jackknife_estimation(input_sample_generator, n_samples,
                             transformation_function,
-                            output_file_name="jackknife.hdf5"):
+                            output_file_name=""):
     """Do a jackknife estimation for the given samples and function.
 
     Estimate and return the sample mean, variance and standard deviation
@@ -25,6 +26,7 @@ def do_jackknife_estimation(input_sample_generator, n_samples,
         print("At least two samples are needed for the jackknife estimation.")
         exit()
 
+    date_and_time = time.strftime("%Y-%m-%d_%H-%M-%S")
     gen = input_sample_generator
     f = transformation_function
     samples = gen()
@@ -55,10 +57,12 @@ def do_jackknife_estimation(input_sample_generator, n_samples,
     output_variance /= (n_samples - 1)
     output_standard_deviation = np.lib.scimath.sqrt(output_variance)
 
+    if output_file_name == "":
+        output_file_name = "jackknife_" + date_and_time + ".hdf5"
     out_file = h5py.File(output_file_name, "w")
-    out_file.create_dataset("estimated_mean", data=output_mean)
-    out_file.create_dataset("estimated_variance", data=output_variance)
-    out_file.create_dataset("estimated_standard_deviation",
+    out_file.create_dataset("mean", data=output_mean)
+    out_file.create_dataset("variance", data=output_variance)
+    out_file.create_dataset("standard_deviation",
                             data=output_standard_deviation)
     out_file.create_dataset("transformed_input_mean", data=transformed_mean)
     out_file.close()