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Showing content from https://github.com/pandas-dev/pandas/issues/14552 below:

strange error with Pandas-0.19.0 · Issue #14552 · pandas-dev/pandas · GitHub

Just to raise eyebrows, not sure if it's related to pandas-0.19 or to a bug of myself.
It is ok under Pandas-0.18.1 (and seems not related to Python-3.6)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
pandas/index.pyx in pandas.index.DatetimeEngine.get_loc (pandas\index.c:11091)()

pandas/src/hashtable_class_helper.pxi in pandas.hashtable.Int64HashTable.get_item (pandas\hashtable.c:8120)()

TypeError: an integer is required

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\indexes\base.py in get_loc(self, key, method, tolerance)
   2103             try:
-> 2104                 return self._engine.get_loc(key)
   2105             except KeyError:

pandas/index.pyx in pandas.index.DatetimeEngine.get_loc (pandas\index.c:11241)()

pandas/index.pyx in pandas.index.DatetimeEngine.get_loc (pandas\index.c:11147)()

pandas/index.pyx in pandas.index.DatetimeEngine._date_check_type (pandas\index.c:11311)()

KeyError: 'next'

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
pandas/index.pyx in pandas.index.DatetimeEngine.get_loc (pandas\index.c:11091)()

pandas/src/hashtable_class_helper.pxi in pandas.hashtable.Int64HashTable.get_item (pandas\hashtable.c:8120)()

TypeError: an integer is required

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\tseries\index.py in get_loc(self, key, method, tolerance)
   1410         try:
-> 1411             return Index.get_loc(self, key, method, tolerance)
   1412         except (KeyError, ValueError, TypeError):

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\indexes\base.py in get_loc(self, key, method, tolerance)
   2105             except KeyError:
-> 2106                 return self._engine.get_loc(self._maybe_cast_indexer(key))
   2107 

pandas/index.pyx in pandas.index.DatetimeEngine.get_loc (pandas\index.c:11241)()

pandas/index.pyx in pandas.index.DatetimeEngine.get_loc (pandas\index.c:11147)()

pandas/index.pyx in pandas.index.DatetimeEngine._date_check_type (pandas\index.c:11311)()

KeyError: 'next'

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
ValueError: Error parsing datetime string "next" at position 0

The above exception was the direct cause of the following exception:

SystemError                               Traceback (most recent call last)
<ipython-input-7-526f069d545f> in <module>()
----> 1 bsqldf('''select Color, Year from datas$$  ''')

<ipython-input-2-7f10bad21e85> in <lambda>(q)
      3 from baresql import baresql
      4 bsql = baresql.baresql(connection="sqlite:///.baresql.db")
----> 5 bsqldf = lambda q: bsql.df(q, dict(globals(),**locals()))
      6 
      7 users = ['Alexander', 'Billy', 'Charles', 'Danielle', 'Esmeralda', 'Franz', 'Greg']

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\baresql\baresql.py in df(self, q, env)
    506     def df(self, q, env):
    507         "same as .cursor , but returns a pandas dataframe"
--> 508         cur = self.cursor( q, env)
    509         result = None
    510         rows = cur.fetchall()

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\baresql\baresql.py in cursor(self, q, env)
    483             pre_q = "DROP TABLE IF EXISTS %s" % table_sql.join(self.delimiters)
    484             cur = self._execute_sql (pre_q)
--> 485             self._write_table( table_sql, df, self.conn)
    486         #multiple sql must be executed one by one
    487         for q_single in self.get_sqlsplit(sql, True) :

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\baresql\baresql.py in _write_table(self, tablename, df, conn)
    450             to_sql(df, name = tablename, con = self.conn,  flavor = self.engine)
    451         else:
--> 452             to_sql(df, name = tablename, con = self.conn)
    453 
    454 

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in to_sql(frame, name, con, flavor, schema, if_exists, index, index_label, chunksize, dtype)
    468     pandas_sql.to_sql(frame, name, if_exists=if_exists, index=index,
    469                       index_label=index_label, schema=schema,
--> 470                       chunksize=chunksize, dtype=dtype)
    471 
    472 

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in to_sql(self, frame, name, if_exists, index, index_label, schema, chunksize, dtype)
   1498         table = SQLiteTable(name, self, frame=frame, index=index,
   1499                             if_exists=if_exists, index_label=index_label,
-> 1500                             dtype=dtype)
   1501         table.create()
   1502         table.insert(chunksize)

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in __init__(self, *args, **kwargs)
   1261         # (this is what sqlalchemy does)
   1262         sqlite3.register_adapter(time, lambda _: _.strftime("%H:%M:%S.%f"))
-> 1263         super(SQLiteTable, self).__init__(*args, **kwargs)
   1264 
   1265     def sql_schema(self):

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in __init__(self, name, pandas_sql_engine, frame, index, if_exists, prefix, index_label, schema, keys, dtype)
    560         if frame is not None:
    561             # We want to initialize based on a dataframe
--> 562             self.table = self._create_table_setup()
    563         else:
    564             # no data provided, read-only mode

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in _create_table_setup(self)
   1297         """
   1298         column_names_and_types = \
-> 1299             self._get_column_names_and_types(self._sql_type_name)
   1300 
   1301         pat = re.compile('\s+')

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in _get_column_names_and_types(self, dtype_mapper)
    755              dtype_mapper(self.frame.iloc[:, i]),
    756              False)
--> 757             for i in range(len(self.frame.columns))
    758         ]
    759 

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in <listcomp>(.0)
    755              dtype_mapper(self.frame.iloc[:, i]),
    756              False)
--> 757             for i in range(len(self.frame.columns))
    758         ]
    759 

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in _sql_type_name(self, col)
   1338             return dtype[col.name]
   1339 
-> 1340         col_type = self._get_notnull_col_dtype(col)
   1341         if col_type == 'timedelta64':
   1342             warnings.warn("the 'timedelta' type is not supported, and will be "

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\io\sql.py in _get_notnull_col_dtype(self, col)
    846         col_for_inference = col
    847         if col.dtype == 'object':
--> 848             notnulldata = col[~isnull(col)]
    849             if len(notnulldata):
    850                 col_for_inference = notnulldata

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\core\series.py in __getitem__(self, key)
    634             raise
    635 
--> 636         if is_iterator(key):
    637             key = list(key)
    638 

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\types\inference.py in is_iterator(obj)
     35 def is_iterator(obj):
     36     # python 3 generators have __next__ instead of next
---> 37     return hasattr(obj, 'next') or hasattr(obj, '__next__')
     38 
     39 

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
   2740             return object.__getattribute__(self, name)
   2741         else:
-> 2742             if name in self._info_axis:
   2743                 return self[name]
   2744             return object.__getattribute__(self, name)

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\tseries\base.py in __contains__(self, key)
    232     def __contains__(self, key):
    233         try:
--> 234             res = self.get_loc(key)
    235             return is_scalar(res) or type(res) == slice or np.any(res)
    236         except (KeyError, TypeError, ValueError):

C:\WinPython\basedir36\build\winpython-64bit-3.6.x.0\python-3.6.0b3.amd64\lib\site-packages\pandas\tseries\index.py in get_loc(self, key, method, tolerance)
   1417 
   1418             try:
-> 1419                 stamp = Timestamp(key, tz=self.tz)
   1420                 return Index.get_loc(self, stamp, method, tolerance)
   1421             except (KeyError, ValueError):

pandas/tslib.pyx in pandas.tslib.Timestamp.__new__ (pandas\tslib.c:9932)()

pandas/tslib.pyx in pandas.tslib.convert_to_tsobject (pandas\tslib.c:25231)()

pandas/tslib.pyx in pandas.tslib.convert_str_to_tsobject (pandas\tslib.c:26851)()

pandas/src/datetime.pxd in datetime._string_to_dts (pandas\tslib.c:87106)()

SystemError: <class 'str'> returned a result with an error set

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