issue pandas-dev#629 - Columns fix (pandas-dev#631)

* Update numpy_arrays.py

* test for fix

* update changelog

* Remove circle build status since arctic still doesnt support circle 2.0

Author: bmoscon

CHANGES.md

@@ -1,6 +1,9 @@
 ## Changelog
 
-### 1.69
+### 1.70
+  * Bugfix: #629 - Column kwarg no longer modified
+
+### 1.69 (2018-09-12)
   * Docs: VersionStore documentation
   * Bugfix: Issue #612 ThreadPool should be created by process using it
   * Feature: Upsert option on appends in ChunkStore

README.md

@@ -1,7 +1,6 @@
 # [![arctic](logo/arctic_50.png)](https://github.com/manahl/arctic) [Arctic TimeSeries and Tick store](https://github.com/manahl/arctic)
 
 
-[![Circle CI](https://circleci.com/gh/manahl/arctic.svg?style=shield)](https://circleci.com/gh/manahl/arctic)
 [![Travis CI](https://travis-ci.org/manahl/arctic.svg?branch=master)](https://travis-ci.org/manahl/arctic)
 [![Coverage Status](https://coveralls.io/repos/github/manahl/arctic/badge.svg?branch=master)](https://coveralls.io/github/manahl/arctic?branch=master)
 [![Code Health](https://landscape.io/github/manahl/arctic/master/landscape.svg?style=flat)](https://landscape.io/github/manahl/arctic/master)

arctic/serialization/numpy_arrays.py

@@ -208,6 +208,7 @@ def deserialize(self, data, columns=None):
 
         if columns:
             if index:
+                columns = list(columns)
                 columns.extend(meta[INDEX])
             if len(columns) > len(set(columns)):
                 raise Exception("Duplicate columns specified, cannot de-serialize")

tests/integration/chunkstore/test_chunkstore.py

@@ -854,10 +854,11 @@ def test_read_column_subset(chunkstore_lib):
                                                  (dt(2016, 3, 3), 1)],
                                                 names=['date', 'id'])
                    )
-
+    cols = ['prev_close', 'volume']
     chunkstore_lib.write('test', df, chunk_size='D')
-    r = chunkstore_lib.read('test', columns=['prev_close', 'volume'])
-    assert_frame_equal(r, df[['prev_close', 'volume']])
+    r = chunkstore_lib.read('test', columns=cols)
+    assert cols == ['prev_close', 'volume']
+    assert_frame_equal(r, df[cols])
 
 
 def test_rename(chunkstore_lib):