[MNT] - Added example to docstring of measures/measures.py

spiketools/measures/measures.py

@@ -17,6 +17,14 @@ def compute_spike_rate(spikes):
     -------
     float
         Average firing rate.
+
+    Example
+    -------
+    Compute spike rate of 6 spikes 
+
+    >>> spikes = [0.5, 1, 1.5, 2, 2.5, 3]
+    >>> compute_spike_rate(spikes)
+    2.4
     """
 
     return len(spikes) / (spikes[-1] - spikes[0])
@@ -34,6 +42,14 @@ def compute_isis(spikes):
     -------
     isis : 1d array
         Distribution of interspike intervals.
+
+    Example
+    -------
+    Compute inter-spike intervals of 6 spikes 
+
+    >>> spikes = [0.5, 0.8, 1.4, 2, 2.2, 2.9]
+    >>> compute_isis(spikes)
+    array([0.3, 0.6, 0.6, 0.2, 0.7])
     """
 
     return np.diff(spikes)
@@ -51,6 +67,14 @@ def compute_cv(isis):
     -------
     cv : float
         Coefficient of variation.
+
+    Example
+    -------
+    Compute the coefficient of variation of 6 interval-spike intervals 
+
+    >>> isis = [0.3, 0.6, 0.6, 0.2, 0.7]
+    >>> compute_cv(isis)
+    0.4039733214513607
     """
 
     return np.std(isis) / np.mean(isis)
@@ -68,6 +92,14 @@ def compute_fano_factor(spike_train):
     -------
     fano : float
         Fano factor.
+
+    Example
+    -------
+    Compute the fano factor of a spike train with 6 time points 
+
+    >>> spike_train = [0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0]
+    >>> compute_fano_factor(spike_train)
+    0.5
     """
 
     return np.var(spike_train) / np.mean(spike_train)