From a13233bbebab76582247faffee0f69acf082e5d2 Mon Sep 17 00:00:00 2001
From: jimportico <30626644+jimportico@users.noreply.github.com>
Date: Fri, 10 Jan 2020 14:32:25 -0500
Subject: [PATCH 1/2] Addressing issue #336

Added code to address issue #336.

link: https://github.com/quantopian/alphalens/issues/336
---
 alphalens/tears.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/alphalens/tears.py b/alphalens/tears.py
index a193b37c..d1f14da8 100644
--- a/alphalens/tears.py
+++ b/alphalens/tears.py
@@ -412,7 +412,7 @@ def create_turnover_tear_sheet(factor_data, turnover_periods=None):
 
     quantile_turnover = \
         {p: pd.concat([perf.quantile_turnover(quantile_factor, q, p)
-                       for q in range(1, int(quantile_factor.max()) + 1)],
+                       for q in quantile_factor.sort_values().unique().tolist()],
                       axis=1)
             for p in turnover_periods}
 

From a462213deea90148864b52e3bb02043856552eb0 Mon Sep 17 00:00:00 2001
From: jimportico <30626644+jimportico@users.noreply.github.com>
Date: Fri, 10 Jan 2020 16:55:11 -0500
Subject: [PATCH 2/2] Addressing issue quantopian#336

Added code to address issue #336

Link: https://github.com/quantopian/alphalens/issues/336
---
 alphalens/tears.py | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/alphalens/tears.py b/alphalens/tears.py
index d1f14da8..0b0eaf93 100644
--- a/alphalens/tears.py
+++ b/alphalens/tears.py
@@ -410,11 +410,16 @@ def create_turnover_tear_sheet(factor_data, turnover_periods=None):
 
     quantile_factor = factor_data['factor_quantile']
 
-    quantile_turnover = \
-        {p: pd.concat([perf.quantile_turnover(quantile_factor, q, p)
-                       for q in quantile_factor.sort_values().unique().tolist()],
-                      axis=1)
-            for p in turnover_periods}
+    quantile_turnover = {
+        p: pd.concat(
+            [
+                perf.quantile_turnover(quantile_factor, q, p)
+                for q in quantile_factor.sort_values().unique().tolist()
+            ],
+            axis=1,
+        )
+        for p in turnover_periods
+    }
 
     autocorrelation = pd.concat(
         [perf.factor_rank_autocorrelation(factor_data, period) for period in