本文整理匯總了Python中sqlalchemy.sql.sqltypes.BigInteger方法的典型用法代碼示例。如果您正苦於以下問題：Python sqltypes.BigInteger方法的具體用法？Python sqltypes.BigInteger怎麽用？Python sqltypes.BigInteger使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sqlalchemy.sql.sqltypes的用法示例。
在下文中一共展示了sqltypes.BigInteger方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_bigint
# 需要導入模塊: from sqlalchemy.sql import sqltypes [as 別名]
# 或者: from sqlalchemy.sql.sqltypes import BigInteger [as 別名]
def test_bigint(self):
# int64 should be converted to BigInteger, GH7433
df = DataFrame(data={'i64': [2**62]})
df.to_sql('test_bigint', self.conn, index=False)
result = sql.read_sql_table('test_bigint', self.conn)
tm.assert_frame_equal(df, result) 示例2: test_double_precision
# 需要導入模塊: from sqlalchemy.sql import sqltypes [as 別名]
# 或者: from sqlalchemy.sql.sqltypes import BigInteger [as 別名]
def test_double_precision(self):
V = 1.23456789101112131415
df = DataFrame({'f32': Series([V, ], dtype='float32'),
'f64': Series([V, ], dtype='float64'),
'f64_as_f32': Series([V, ], dtype='float64'),
'i32': Series([5, ], dtype='int32'),
'i64': Series([5, ], dtype='int64'),
})
df.to_sql('test_dtypes', self.conn, index=False, if_exists='replace',
dtype={'f64_as_f32': sqlalchemy.Float(precision=23)})
res = sql.read_sql_table('test_dtypes', self.conn)
# check precision of float64
assert (np.round(df['f64'].iloc[0], 14) ==
np.round(res['f64'].iloc[0], 14))
# check sql types
meta = sqlalchemy.schema.MetaData(bind=self.conn)
meta.reflect()
col_dict = meta.tables['test_dtypes'].columns
assert str(col_dict['f32'].type) == str(col_dict['f64_as_f32'].type)
assert isinstance(col_dict['f32'].type, sqltypes.Float)
assert isinstance(col_dict['f64'].type, sqltypes.Float)
assert isinstance(col_dict['i32'].type, sqltypes.Integer)
assert isinstance(col_dict['i64'].type, sqltypes.BigInteger)