working

rowers/datautils.py

@@ -123,18 +123,18 @@ def cpfit(powerdf, fraclimit=0.0001, nmax=1000):
 
 
 def getlogarr(maxt):
-    maxlog10 = np.log10(maxt-5)
+    dtmin = 10
+    maxlog10 = np.log10(maxt)
     # print(maxlog10,round(maxlog10))
-    aantal = 10*round(maxlog10)
+    aantal = 40
     logarr = np.arange(aantal+1)/10.
+    vs = 10.**logarr
+    
 
     res = []
-    for la in logarr:
-        try:
-            v = 5+int(10.**(la))
-        except ValueError:  # pragma: no cover
-            v = 0
-        res.append(v)
+    for v in vs:
+        if v > dtmin and v<maxt:
+            res.append(int(v))
 
     logarr = pd.Series(res, dtype='float')
     logarr.drop_duplicates(keep='first', inplace=True)