Formatting

LaurentRDC · Jul 7, 2020 · b0c921b · b0c921b
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/docs/tutorials/time_series.rst b/docs/tutorials/time_series.rst
@@ -141,7 +141,7 @@ Let's see what :func:`with_irf` in action:
     conv = skued.with_irf(2)(skued.exponential)(times, 0, 1, 1)
 
     plt.figure()
-    plt.plot(times, data, ".k", label='No IRF'))
+    plt.plot(times, data, ".k", label='No IRF')
     plt.plot(times, conv, "-r", label='With IRF')
     plt.legend()
     plt.show()

diff --git a/skued/time_series/fitting.py b/skued/time_series/fitting.py
@@ -102,7 +102,6 @@ def biexponential(time, tzero, amp1, amp2, tconst1, tconst2, offset=0):
     return arr
 
 
-
 def regrid(f):
     """
     Decorator that makes a function `f` evaluate correctly with uneven-spacing
@@ -120,6 +119,7 @@ def regrid(f):
     f_ : callable
         Callable of the form 
     """
+
     @wraps(f)
     def f_(time, *args, **kwargs):
         mn, mx = np.min(time), np.max(time)
@@ -163,7 +163,7 @@ def decorator(f):
         def f_(time, *args, **kwargs):
             kernel = _gauss_kernel(time, fwhm=fwhm)
             norm = np.sum(kernel)
-            return np.convolve(f(time, *args, **kwargs), kernel, mode='same') / norm
+            return np.convolve(f(time, *args, **kwargs), kernel, mode="same") / norm
 
         return f_