inverse transform sampling method for making discrete powelaw samples.

Ziaeemehr · Aug 3, 2024 · 1e2766d · 1e2766d
1 parent 2d16c10
commit 1e2766d
Showing 1 changed file with 9 additions and 0 deletions.
diff --git a/netsci/utils.py b/netsci/utils.py
@@ -308,6 +308,15 @@ def generate_power_law_discrete_its(alpha:float, k_min:int, k_max:int, size:int=
     np.array:
         Array of generated power law discrete distributions.
     
+    
+    Examples
+    ---------
+    
+    >>> gamma = 2.5  # Power-law exponent
+    >>> k_min = 1    # Minimum value of k
+    >>> k_max = 1000 # Maximum value of k
+    >>> size = 10000 # Number of samples
+    >>> samples = power_law_discrete(gamma, k_min, k_max, size)
     """