本文整理汇总了Python中odps.df.DataFrame.append_id方法的典型用法代码示例。如果您正苦于以下问题：Python DataFrame.append_id方法的具体用法？Python DataFrame.append_id怎么用？Python DataFrame.append_id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odps.df.DataFrame的用法示例。
在下文中一共展示了DataFrame.append_id方法的1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
# 需要导入模块: from odps.df import DataFrame [as 别名]
# 或者: from odps.df.DataFrame import append_id [as 别名]
#.........这里部分代码省略.........
dict(category="", petal_length="", petal_width="", sepal_width="", sepal_length="KVConfig(kv=:, item=,)"),
)
def test_seq_field_operations(self):
seq = self.df.sepal_length
# roles
seq1 = seq.role("weight")
self.assertEqual(_df_roles(seq1), dict(sepal_length="WEIGHT"))
# discrete
seq2 = seq.discrete()
self.assertEqual(_df_continuity(seq2), dict(sepal_length="DISCRETE"))
# continuous
seq3 = seq.continuous()
self.assertEqual(_df_continuity(seq3), dict(sepal_length="CONTINUOUS"))
# key_value
seq4 = seq.key_value()
self.assertEqual(_df_key_value(seq4), dict(sepal_length="KVConfig(kv=:, item=,)"))
seq5 = seq4.key_value(kv="-", item=";")
self.assertEqual(_df_key_value(seq5), dict(sepal_length="KVConfig(kv=-, item=;)"))
# erase_key_value
seq6 = seq5.erase_key_value()
self.assertEqual(_df_key_value(seq6), dict(sepal_length=""))
def test_coll_df_operations(self):
from odps.ml.nodes import transform_nodes as tnodes
splited = self.df.split(0.75)
self.assertEqual(len(splited), 2)
self.assertEqual(_df_roles(splited[0]), _df_roles(splited[1]))
split_node = adapter_from_df(splited[0])._bind_node
self.assertEqual(split_node.code_name, "Split")
self.assertEqual(split_node.parameters["fraction"], 0.75)
id_appended = self.df.append_id()
self.assertEqual(
_df_roles(id_appended),
dict(
category="FEATURE",
petal_length="FEATURE",
petal_width="FEATURE",
sepal_width="FEATURE",
sepal_length="FEATURE",
append_id="",
),
)
append_id_node = adapter_from_df(id_appended)._bind_node
self.assertEqual(append_id_node.code_name, "AppendID")
self.assertEqual(append_id_node.parameters["IDColName"], "append_id")
summary_ep = self.df._create_summary_adapter()
summary_node = summary_ep._bind_node
self.assertIsInstance(summary_node, tnodes.SummaryNode)
def test_dtypes(self):
rstrip_lines = lambda s: "\n".join(l.rstrip() for l in s.splitlines())
old_dtypes_repr = rstrip_lines(
textwrap.dedent(
"""
odps.Schema {
sepal_length float64
sepal_width float64
petal_length float64
petal_width float64
category string
}
"""