Removed more f-strings for py35 support

tommyod · Sep 20, 2018 · c108c1d · c108c1d
1 parent 3f7f774
commit c108c1d
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Showing 4 changed files with 95 additions and 39 deletions.
diff --git a/docs/source/examples.py b/docs/source/examples.py
@@ -111,7 +111,9 @@ def main():
     x, y = FFTKDE(kernel='gaussian', bw=100).fit(data)(2**10)
     timed = (time.perf_counter() - st)*1000
     plt.plot(x, y)
-    plt.title('One million observations on\n1024 grid' + f' points in {int(round(timed,0))} ms', fontsize=FONTSIZE)
+    plt.title(('One million observations on\n1024 grid' + 
+               ' points in {} ms'.format(int(round(timed,0)))), 
+              fontsize=FONTSIZE)
     data = np.random.choice(data, size=100,replace=False)
     plt.scatter(data, np.zeros_like(data), marker='|', color='red', label='Data', s=3)
     plt.yticks([]); plt.xticks([]);
@@ -149,7 +151,7 @@ def main():
     data = norm(loc=0, scale=1).rvs(2**6)
     for bw in [0.1, 'silverman', 1.5]:
         x, y = FFTKDE(kernel='triweight', bw=bw).fit(data).evaluate()
-        plt.plot(x, y, label=f'KDE estimate, bw={bw}')
+        plt.plot(x, y, label='KDE estimate, bw={}'.format(bw))
 
     ##############################
     plt.scatter(data, np.zeros_like(data), marker='|', color='red', label='Data')

diff --git a/docs/source/introduction.ipynb b/docs/source/introduction.ipynb
diff --git a/docs/source/kde_animations.py b/docs/source/kde_animations.py
@@ -56,7 +56,7 @@ def update(i):
         y = FFTKDE(bw=bw).fit(data)(x)
         line.set_ydata(y)
         bw_formatted = str(round(bw, 3)).ljust(5, '0')
-        ax.set_xlabel(f'Bandwidth $h$: {bw_formatted}', fontsize=14)
+        ax.set_xlabel('Bandwidth $h$: {}'.format(bw_formatted), fontsize=14)
         print(label, bw)
         return line, ax
 

diff --git a/docs/source/profiling.py b/docs/source/profiling.py
@@ -236,7 +236,7 @@ def KDE_KDEpyFFTKDE(data, grid_pts, kernel='epa'):
                 break
 
         plt.semilogy(dims_list, [t[1] for t in agg_times], 
-                     zorder=15, label=f'$N = 10^{data_size}$')
+                     zorder=15, label='$N = 10^{}$'.format(data_size))
         plt.fill_between(dims_list, [t[0] for t in agg_times], 
                          [t[2] for t in agg_times], alpha=0.5, zorder=-15)