First version of operator __setitem__

_unittests/ut_df/test_dataframe_io_helpers.py

@@ -114,6 +114,9 @@ def test_enumerate_json_items(self):
         items = list(enumerate_json_items(
             BytesIO(TestDataFrameIOHelpers.text_json)))
         self.assertEqual(TestDataFrameIOHelpers.text_json_exp, items)
+        items = list(enumerate_json_items(
+            BytesIO(TestDataFrameIOHelpers.text_json)))
+        self.assertEqual(TestDataFrameIOHelpers.text_json_exp, items)
 
     def test_read_json_raw(self):
         data = [{'id': 1, 'name': {'first': 'Coleen', 'last': 'Volk'}},
@@ -133,6 +136,15 @@ def test_read_json_raw(self):
         js_exp = loads(exp)
         self.assertEqual(js_exp, js_read)
 
+    def test_read_json_raw_head(self):
+        data = [{'id': 1, 'name': {'first': 'Coleen', 'last': 'Volk'}},
+                {'name': {'given': 'Mose', 'family': 'Regner'}},
+                {'id': 2, 'name': 'FayeRaker'}]
+        it = StreamingDataFrame.read_json(data, flatten=True, chunksize=1)
+        h1 = it.head()
+        h2 = it.head()
+        self.assertEqualDataFrame(h1, h2)
+
     def test_pandas_json_chunksize(self):
         jsonl = '''{"a": 1, "b": 2}
                    {"a": 3, "b": 4}'''
@@ -161,6 +173,18 @@ def test_read_json_rows2(self):
         js = dfs[0].to_json(orient='records')
         self.assertEqual('[{"a":1,"b":2},{"a":3,"b":4}]', js)
 
+    def test_read_json_rows2_head(self):
+        data = b'''{"a": 1, "b": 2}
+                  {"a": 3, "b": 4}'''
+        dfs = pandas.read_json(BytesIO(data), lines=True)
+        self.assertEqual(dfs.shape, (2, 2))
+        it = StreamingDataFrame.read_json(BytesIO(data), lines="stream")
+        h1 = it.head()
+        h2 = it.head()
+        self.assertNotEmpty(h1)
+        self.assertNotEmpty(h2)
+        self.assertEqualDataFrame(h1, h2)
+
     def test_read_json_ijson(self):
         it = StreamingDataFrame.read_json(
             BytesIO(TestDataFrameIOHelpers.text_json))

_unittests/ut_df/test_streaming_dataframe.py

@@ -455,7 +455,6 @@ def test_getitem(self):
         df1 = sdf.to_df()
         df2 = sdf2.to_df()
         self.assertEqualDataFrame(df1[["cint"]], df2)
-        self.assertRaise(lambda: sdf["cint"], NotImplementedError)
         self.assertRaise(lambda: sdf[:, "cint"], NotImplementedError)
 
     def test_read_csv_names(self):
@@ -523,6 +522,39 @@ def test_describe(self):
         self.assertEqualArray(desc.loc['std', :], numpy.array(
             [2.886795e-01, 28867.946472]), decimal=4)
 
+    def test_set_item(self):
+        df = pandas.DataFrame(data=dict(a=[4.5], b=[6], c=[7]))
+        self.assertRaise(lambda: StreamingDataFrame(df), TypeError)
+        sdf = StreamingDataFrame.read_df(df)
+
+        def f():
+            sdf[['a']] = 10
+        self.assertRaise(f, ValueError)
+
+        def g():
+            sdf['a'] = [10]
+        self.assertRaise(g, NotImplementedError)
+
+        sdf['aa'] = 10
+        df = sdf.to_df()
+        ddf = pandas.DataFrame(data=dict(a=[4.5], b=[6], c=[7], aa=[10]))
+        self.assertEqualDataFrame(df, ddf)
+        sdf['bb'] = sdf['b'] + 10
+        df = sdf.to_df()
+        ddf = ddf = pandas.DataFrame(
+            data=dict(a=[4.5], b=[6], c=[7], aa=[10], bb=[16]))
+        self.assertEqualDataFrame(df, ddf)
+
+    def test_set_item_function(self):
+        df = pandas.DataFrame(data=dict(a=[4.5], b=[6], c=[7]))
+        self.assertRaise(lambda: StreamingDataFrame(df), TypeError)
+        sdf = StreamingDataFrame.read_df(df)
+        sdf['bb'] = sdf['b'].apply(lambda x: x + 11)
+        df = sdf.to_df()
+        ddf = ddf = pandas.DataFrame(
+            data=dict(a=[4.5], b=[6], c=[7], bb=[17]))
+        self.assertEqualDataFrame(df, ddf)
+
 
 if __name__ == "__main__":
     # TestStreamingDataFrame().test_describe()

azure-pipelines.yml

@@ -4,7 +4,7 @@ jobs:
     vmImage: 'ubuntu-latest'
   strategy:
     matrix:
-      Python37-Linux:
+      Python39-Linux:
         python.version: '3.9'
     maxParallel: 3
 
@@ -51,7 +51,7 @@ jobs:
     vmImage: 'macOS-latest'
   strategy:
     matrix:
-      Python37-Mac:
+      Python39-Mac:
         python.version: '3.9'
     maxParallel: 3
 

pandas_streaming/__init__.py

@@ -35,8 +35,8 @@ def check(log=False):
     It raises an exception.
     If you want to disable the logs:
 
-    @param      log     if True, display information, otherwise
-    @return             0 or exception
+    :param log: if True, display information, otherwise none
+    :return: 0 or exception
     """
     return True
 

pandas_streaming/data/dummy.py

@@ -12,11 +12,11 @@ def dummy_streaming_dataframe(n, chunksize=10, asfloat=False, **cols):
     Returns a dummy streaming dataframe
     mostly for unit test purposes.
 
-    @param      n           number of rows
-    @param      chunksize   chunk size
-    @param      asfloat     use random float and not random int
-    @param      cols        additional columns
-    @return                 a @see cl StreamingDataFrame
+    :param n: number of rows
+    :param chunksize: chunk size
+    :param asfloat: use random float and not random int
+    :param cols: additional columns
+    :return: a @see cl StreamingDataFrame
     """
     if asfloat:
         df = DataFrame(dict(cfloat=[_ + 0.1 for _ in range(0, n)], cstr=[