本文整理汇总了Python中odps.df.DataFrame.data_source方法的典型用法代码示例。如果您正苦于以下问题：Python DataFrame.data_source方法的具体用法？Python DataFrame.data_source怎么用？Python DataFrame.data_source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.data_source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 data_source [as 别名]
#.........这里部分代码省略.........
self.assertEqual(len(self.odps_df.name.head(2)), 2)
self.assertEqual(len(self.odps_df.name.tail(2)), 2)
res = self.pd_df.head(1)
self.assertEqual(len(res), 1)
df = self.pd_df[self.pd_df["name"] == "name1"]
res = df.head(1)
self.assertEqual(len(res), 1)
self.assertIsNotNone(df._cache_data)
res = self.pd_df.tail(1)
self.assertEqual(len(res), 1)
self.assertEqual(res.values["id"][0], 6)
self.assertEqual(len(self.pd_df.name.head(1)), 1)
self.assertEqual(len(self.pd_df.name.tail(1)), 1)
class TunnelOnlyODPSEngine(ODPSEngine):
def execute(self, expr, **kw):
expr = self._pre_process(expr)
head = kw.get("head")
return self._handle_cases(expr, head=head)
engine = MixedEngine(self.odps)
engine._odpssql_engine = TunnelOnlyODPSEngine(self.odps, global_optimize=False)
res = engine.execute(self.odps_df["id"], head=3)
self.assertIsNotNone(res)
self.assertEqual(sum(res.values["id"]), 6)
table_name = tn("pyodps_df_mixed2")
self.odps.delete_table(table_name, if_exists=True)
table = next(self.odps_df.data_source())
table2 = self.odps.create_table(table_name, table.schema)
try:
res = DataFrame(table2).head(10)
self.assertEqual(len(res), 0)
finally:
table2.drop()
def testMapReduceWithResource(self):
pd_df2 = self.odps_df.to_pandas(wrap=True)
@output(["name", "id"], ["string", "int"])
def reducer(resources):
d = dict()
for r in resources[0]:
if r.name in d:
d[r.name] += r.id
else:
d[r.name] = r.id
def inner(keys):
def h(row, done):
if row.name in d:
d[row.name] += row.id
else:
d[row.name] = row.id
if done:
yield row.name, d[row.name]
return h
return inner