Fixing date types (#110)

* Fixing date types

* CP-6050: Extra space

* CP-6050: Testing

* CP-6050: conditional with some debug

* CP-6050: More testing

* CP-6050: Try to figure out why order is not correct

* CP-6050: Try to figure out why order is not correct

* CP-6050: Try to figure out why order is not correct

* CP-6050: Trying to fix order

* CP-6050: Try with objects

* CP-6050: Try with string

* CP-6050: Cleaned up code

* CP-6050: Numpy no longer supports Python v3.3

* CP-6050: Removed py3.3 from tests, bumbed version in tests

* CP-6050: Bumped minor version

Author: ericvautour-quandl

.travis.yml

@@ -2,7 +2,6 @@ sudo: false
 language: python
 python:
   - "2.7"
-  - "3.3"
   - "3.4"
   - "3.5"
   - "3.6"

CHANGELOG.md

@@ -1,3 +1,8 @@
+### 3.4.0 - 2018-07-03
+
+* When returning a list of data, in a Python friendly format, convert datetime64 to datetime
+* Numpy no longer supports Python v3.3, thus we are removing support for it
+
 ### 3.3.0 - 2017-12-20
 
 * Unlock the version of requests to allow use with other modern packages

quandl/model/data_mixin.py

@@ -12,8 +12,8 @@ def to_pandas(self, keep_column_indexes=[]):
             data = [data]
         if 'columns' in self.meta.keys():
             df = pd.DataFrame(data=data, columns=self.columns)
-            for index, type in enumerate(self.column_types):
-                if type == 'Date':
+            for index, column_type in enumerate(self.column_types):
+                if column_type == 'Date':
                     df[self.columns[index]] = df[self.columns[index]].apply(pd.to_datetime)
         else:
             df = pd.DataFrame(data=data, columns=self.column_names)

quandl/model/merged_data_list.py

@@ -1,4 +1,5 @@
 from .data_list import DataList
+import numpy as np
 
 
 class MergedDataList(DataList):
@@ -17,7 +18,17 @@ def to_pandas(self):
         return self.__data_frame
 
     def _initialize_raw_data(self):
-        return self.to_numpy().tolist()
+        numpy_results = self.to_numpy()
+        numpy_dtype_names = numpy_results.dtype.names
+
+        python_compatible_dtypes = []
+        for name in numpy_dtype_names:
+            if numpy_results.dtype[name].str == '<M8[ns]':
+                python_compatible_dtypes.append((str(name), np.dtype('<M8[ms]')))
+            else:
+                python_compatible_dtypes.append((str(name), numpy_results.dtype[name]))
+
+        return numpy_results.astype(python_compatible_dtypes).tolist()
 
     def _column_names(self):
         return self.to_numpy().dtype.names

quandl/version.py

@@ -1 +1 @@
-VERSION = '3.3.0'
+VERSION = '3.4.0'

test/test_connection.py

@@ -67,6 +67,6 @@ def test_build_request(self, mock):
                                  'accept': ('application/json, '
                                             'application/vnd.quandl+json;version=2015-04-09'),
                                  'request-source': 'python',
-                                 'request-source-version': '3.3.0'},
+                                 'request-source-version': '3.4.0'},
                         params={'per_page': 10, 'page': 2})
         self.assertEqual(mock.call_args, expected)

test/test_merged_dataset.py

@@ -203,7 +203,7 @@ def test_get_merged_dataset_data_to_list(self):
                     [datetime.datetime(2015, 7, 14, 0, 0), 437.5, 3, 437.5, 437.5, 3, 3],
                     [datetime.datetime(2015, 7, 15, 0, 0), 440.0, 2, 440.0, 440.0, 2, 3]]
         for index, expected_item in enumerate(expected):
-            self.assertItemsEqual(results[index], expected_item)
+            self.assertItemsEqual(expected_item, results[index])
 
     def test_get_merged_dataset_data_is_descending_when_specified_in_params(self):
         data = MergedDataset(['NSE/OIL', 'WIKI/AAPL',

tox.ini

@@ -3,7 +3,7 @@
 # test suite on all supported python versions. To use it, "pip install tox"
 # and then run "tox" from this directory.
 [tox]
-envlist = py2.7,py3.3,py3.4,py3.5,py3.6
+envlist = py2.7,py3.4,py3.5,py3.6
 
 [testenv]
 commands =