本文整理汇总了Python中pandas.core.api.Series.groupby方法的典型用法代码示例。如果您正苦于以下问题：Python Series.groupby方法的具体用法？Python Series.groupby怎么用？Python Series.groupby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pandas.core.api.Series的用法示例。
在下文中一共展示了Series.groupby方法的3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_groupby
# 需要导入模块: from pandas.core.api import Series [as 别名]
# 或者: from pandas.core.api.Series import groupby [as 别名]
def test_groupby(self):
data = Series(np.arange(9) / 3, index=np.arange(9))
index = np.arange(9)
np.random.shuffle(index)
data = data.reindex(index)
grouped = data.groupby(lambda x: x // 3)
repr(grouped.groups) # nothing else here
for k, v in grouped:
self.assertEqual(len(v), 3)
agged = grouped.aggregate(np.mean)
self.assertEqual(agged[1], 1)
assert_series_equal(agged, grouped.agg(np.mean)) # shorthand
assert_series_equal(agged, grouped.mean())
assert_series_equal(grouped.agg(np.sum), grouped.sum())
transformed = grouped.transform(lambda x: x * x.sum())
self.assertEqual(transformed[7], 12)
value_grouped = data.groupby(data)
assert_series_equal(value_grouped.aggregate(np.mean), agged)
# complex agg
agged = grouped.aggregate([np.mean, np.std])
agged = grouped.aggregate({'one' : np.mean,
'two' : np.std})
group_constants = {
0 : 10,
1 : 20,
2 : 30
}
agged = grouped.agg(lambda x: group_constants[x.groupName] + x.mean())
self.assertEqual(agged[1], 21)
# corner cases
self.assertRaises(Exception, grouped._aggregate_named,
lambda x: x * 2)示例2: test_groupby_transform
# 需要导入模块: from pandas.core.api import Series [as 别名]
# 或者: from pandas.core.api.Series import groupby [as 别名]
def test_groupby_transform(self):
data = Series(np.arange(9) / 3, index=np.arange(9))
index = np.arange(9)
np.random.shuffle(index)
data = data.reindex(index)
grouped = data.groupby(lambda x: x // 3)
transformed = grouped.transform(lambda x: x * x.sum())
self.assertEqual(transformed[7], 12)
# corner cases
self.assertRaises(Exception, grouped.transform,
lambda x: x.mean())示例3: test_groupby_transform
# 需要导入模块: from pandas.core.api import Series [as 别名]
# 或者: from pandas.core.api.Series import groupby [as 别名]
def test_groupby_transform(self):
data = Series(np.arange(9) / 3, index=np.arange(9))
index = np.arange(9)
np.random.shuffle(index)
data = data.reindex(index)
grouped = data.groupby(lambda x: x // 3)
transformed = grouped.transform(lambda x: x * x.sum())
self.assertEqual(transformed[7], 12)
transformed = grouped.transform(np.mean)
for name, group in grouped:
mean = group.mean()
for idx in group.index:
self.assertEqual(transformed[idx], mean)