PERF: Updated to sort_values for new pandas

zipline/finance/performance/tracker.py

@@ -70,6 +70,7 @@ from pandas.tseries.tools import normalize_date
 import zipline.finance.risk as risk
 from . period import PerformancePeriod
 
+from zipline.utils.pandas_utils import sort_values
 from zipline.utils.serialization_utils import (
     VERSION_LABEL
 )
@@ -200,9 +201,9 @@ class PerformanceTracker(object):
         )
         self._dividend_count += len(new_dividends)
 
-        self.dividend_frame = pd.concat(
+        self.dividend_frame = sort_values(pd.concat(
             [self.dividend_frame, new_dividends]
-        ).sort(['pay_date', 'ex_date']).set_index('id', drop=False)
+        ), ['pay_date', 'ex_date']).set_index('id', drop=False)
 
     def initialize_dividends_from_other(self, other):
         """

zipline/pipeline/loaders/frame.py

@@ -15,6 +15,7 @@ from pandas import (
 )
 from zipline.lib.adjusted_array import AdjustedArray
 from zipline.lib.adjustment import make_adjustment_from_labels
+from zipline.utils.pandas_utils import sort_values
 from .base import PipelineLoader
 
 ADJUSTMENT_COLUMNS = Index([
@@ -71,7 +72,7 @@ class DataFrameLoader(PipelineLoader):
         else:
             # Ensure that columns are in the correct order.
             adjustments = adjustments.reindex_axis(ADJUSTMENT_COLUMNS, axis=1)
-            adjustments.sort(['apply_date', 'sid'], inplace=True)
+            sort_values(adjustments, ['apply_date', 'sid'], inplace=True)
 
         self.adjustments = adjustments
         self.adjustment_apply_dates = DatetimeIndex(adjustments.apply_date)