本文整理汇总了Python中pml.data.model.DataSet.label_filter方法的典型用法代码示例。如果您正苦于以下问题：Python DataSet.label_filter方法的具体用法？Python DataSet.label_filter怎么用？Python DataSet.label_filter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pml.data.model.DataSet的用法示例。
在下文中一共展示了DataSet.label_filter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_filter_by_label
# 需要导入模块: from pml.data.model import DataSet [as 别名]
# 或者: from pml.data.model.DataSet import label_filter [as 别名]
def test_filter_by_label(self):
features = ["name", "hair colour"]
df = pd.DataFrame([["Bill", "brown"], ["Bob", "black"],
["Jim", "brown"]], columns=features)
dataset = DataSet(df, labels=["SENG", "SENG", "CENG"])
filtered = dataset.label_filter("SENG")
assert_that(filtered, equals_dataset([["Bill", "brown"],
["Bob", "black"]]))
assert_that(filtered.get_labels(),
equals_series({0: "SENG", 1: "SENG"}))示例2: test_filter_by_multiple_labels
# 需要导入模块: from pml.data.model import DataSet [as 别名]
# 或者: from pml.data.model.DataSet import label_filter [as 别名]
def test_filter_by_multiple_labels(self):
features = ["name", "hair colour"]
df = pd.DataFrame([["Will", "black"], ["Rob", "blonde"],
["Bill", "brown"], ["Bob", "black"],
["Jim", "brown"]], columns=features)
dataset = DataSet(df, labels=["ELEC", "SENG", "ELEC", "CENG", "SENG"])
filtered = dataset.label_filter(["SENG", "CENG"])
assert_that(filtered, equals_dataset([["Rob", "blonde"],
["Bob", "black"],
["Jim", "brown"]]))
assert_that(filtered.get_labels(),
equals_series({1: "SENG", 3: "CENG", 4: "SENG"}))