本文整理汇总了Python中sqlalchemy.sql.sqltypes.Float方法的典型用法代码示例。如果您正苦于以下问题:Python sqltypes.Float方法的具体用法?Python sqltypes.Float怎么用?Python sqltypes.Float使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sqlalchemy.sql.sqltypes
的用法示例。
在下文中一共展示了sqltypes.Float方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_notna_dtype
# 需要导入模块: from sqlalchemy.sql import sqltypes [as 别名]
# 或者: from sqlalchemy.sql.sqltypes import Float [as 别名]
def test_notna_dtype(self):
cols = {'Bool': Series([True, None]),
'Date': Series([datetime(2012, 5, 1), None]),
'Int': Series([1, None], dtype='object'),
'Float': Series([1.1, None])
}
df = DataFrame(cols)
tbl = 'notna_dtype_test'
df.to_sql(tbl, self.conn)
returned_df = sql.read_sql_table(tbl, self.conn) # noqa
meta = sqlalchemy.schema.MetaData(bind=self.conn)
meta.reflect()
if self.flavor == 'mysql':
my_type = sqltypes.Integer
else:
my_type = sqltypes.Boolean
col_dict = meta.tables[tbl].columns
assert isinstance(col_dict['Bool'].type, my_type)
assert isinstance(col_dict['Date'].type, sqltypes.DateTime)
assert isinstance(col_dict['Int'].type, sqltypes.Integer)
assert isinstance(col_dict['Float'].type, sqltypes.Float)
示例2: test_double_precision
# 需要导入模块: from sqlalchemy.sql import sqltypes [as 别名]
# 或者: from sqlalchemy.sql.sqltypes import Float [as 别名]
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)