本文整理汇总了Python中odps.df.DataFrame.extract_kv方法的典型用法代码示例。如果您正苦于以下问题:Python DataFrame.extract_kv方法的具体用法?Python DataFrame.extract_kv怎么用?Python DataFrame.extract_kv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.extract_kv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: testExtractKV
# 需要导入模块: from odps.df import DataFrame [as 别名]
# 或者: from odps.df.DataFrame import extract_kv [as 别名]
def testExtractKV(self):
data = [
["name1", "k1=1,k2=3,k5=10", "1=5,3=7,2=1"],
["name1", "", "3=1,4=2"],
["name1", "k1=7.1,k7=8.2", "1=1,5=6"],
["name2", "k2=1.2,k3=1.5", None],
["name2", "k9=1.1,k2=1", "4=2"],
]
table_name = tn("pyodps_test_mixed_engine_extract_kv")
self.odps.delete_table(table_name, if_exists=True)
table = self.odps.create_table(
name=table_name, schema=Schema.from_lists(["name", "kv", "kv2"], ["string", "string", "string"])
)
expr = DataFrame(table)
try:
self.odps.write_table(table, 0, data)
expr1 = expr.extract_kv(columns=["kv", "kv2"], kv_delim="=")
res = self.engine.execute(expr1)
result = self._get_result(res)
expected_cols = [
"name",
"kv_k1",
"kv_k2",
"kv_k3",
"kv_k5",
"kv_k7",
"kv_k9",
"kv2_1",
"kv2_2",
"kv2_3",
"kv2_4",
"kv2_5",
]
expected = [
["name1", 1.0, 3.0, None, 10.0, None, None, 5.0, 1.0, 7.0, None, None],
["name1", None, None, None, None, None, None, None, None, 1.0, 2.0, None],
["name1", 7.1, None, None, None, 8.2, None, 1.0, None, None, None, 6.0],
["name2", None, 1.2, 1.5, None, None, None, None, None, None, None, None],
["name2", None, 1.0, None, None, None, 1.1, None, None, None, 2.0, None],
]
self.assertListEqual([c.name for c in res.columns], expected_cols)
self.assertEqual(result, expected)
finally:
table.drop()