BLD: Update build config to include Python 3.7

Include test config with Python 3.7
Test compat version of concat

Author: bashtage

.travis.yml

@@ -24,7 +24,7 @@ env:
 matrix:
   fast_finish: true
   include:
-  - python: 3.6
+  - python: 3.5
     env:
     - PYTHON=3.5
     - NUMPY=1.12
@@ -42,15 +42,15 @@ matrix:
   - python: 3.6
     env:
     - PYTHON=3.6
-    - NUMPY=1.15
-    - SCIPY=1.1
+    - NUMPY=1.14
+    - SCIPY=1
     - PANDAS=0.22
     - XARRAY=0.10
     - DOCBUILD=true
     - STATAMODELS=0.9
   - python: 3.6
     env:
-    - PYTHON=3.6
+    - PYTHON=3.7
     - NUMPY=1.14
     - SCIPY=1.1
     - PANDAS=0.23

README.rst

@@ -1,8 +1,7 @@
 Linear Models
 =============
 
-`Build Status <https://travis-ci.org/bashtage/linearmodels>`__
-`codecov <https://codecov.io/gh/bashtage/linearmodels>`__
+|Build Status| |codecov| |Codacy Badge| |codebeat badge|
 
 Linear (regression) models for Python. Extends
 `statsmodels <http://www.statsmodels.org>`__ with Panel regression,
@@ -161,3 +160,12 @@ Documentation
 -  nbformat
 -  ipython
 -  jupyter
+
+.. |Build Status| image:: https://travis-ci.org/bashtage/linearmodels.svg?branch=master
+   :target: https://travis-ci.org/bashtage/linearmodels
+.. |codecov| image:: https://codecov.io/gh/bashtage/linearmodels/branch/master/graph/badge.svg
+   :target: https://codecov.io/gh/bashtage/linearmodels
+.. |Codacy Badge| image:: https://api.codacy.com/project/badge/Grade/c771bce50a164b6fa71c344b374f140d
+   :target: https://www.codacy.com/app/bashtage/linearmodels?utm_source=github.com&utm_medium=referral&utm_content=bashtage/linearmodels&utm_campaign=Badge_Grade
+.. |codebeat badge| image:: https://codebeat.co/badges/aaae2fb4-72b5-4a66-97cd-77b93488f243
+   :target: https://codebeat.co/projects/github-com-bashtage-linearmodels-master

linearmodels/compat/pandas.py

@@ -14,10 +14,10 @@ def concat(*args, **kwargs):
     if PD_LT_023 and 'sort' in kwargs:
         kwargs = kwargs.copy()
         del kwargs['sort']
-    else:
+    elif not PD_LT_023:
         if 'sort' not in kwargs:
             kwargs = kwargs.copy()
-            kwargs['sort'] = True
+            kwargs['sort'] = False
 
     return pd.concat(*args, **kwargs)
 

linearmodels/tests/test_compat.py

@@ -0,0 +1,27 @@
+import numpy as np
+import pytest
+from pandas import DataFrame, Series, date_range
+
+from linearmodels.compat.pandas import concat
+from linearmodels.utility import AttrDict
+
+
+@pytest.fixture('module')
+def data():
+    idx = date_range('2000-01-01', periods=100)
+    df1 = DataFrame(np.arange(100)[:, None], columns=['A'], index=idx)
+    x = np.reshape(np.arange(200), (100, 2))
+    df2 = DataFrame(x, columns=['B', 'C'], index=idx[::-1])
+    s = Series(300 + np.arange(100), index=idx, name='D')
+    return AttrDict(df1=df1, df2=df2, s=s)
+
+
+def test_concat_sort(data):
+    a = concat([data.df1, data.df2], 1)
+    b = concat([data.df1, data.df2, data.s], 1)
+    c = concat([data.df1, data.df2, data.s], 1, sort=True)
+    d = concat([data.df2, data.df1, data.s], 1, sort=False)
+    assert list(a.columns) == ['A', 'B', 'C']
+    assert list(b.columns) == ['A', 'B', 'C', 'D']
+    assert list(c.columns) == ['A', 'B', 'C', 'D']
+    assert list(d.columns) == ['B', 'C', 'A', 'D']

linearmodels/utility.py

@@ -439,7 +439,7 @@ def __init__(self, results):
     def _get_series_property(self, name):
         out = ([(k, getattr(v, name)) for k, v in self._results.items()])
         cols = [v[0] for v in out]
-        values = concat([v[1] for v in out], 1, sort=True)
+        values = concat([v[1] for v in out], 1)
         values.columns = cols
         return values