本文整理汇总了Python中pml.data.model.DataSet.get_column方法的典型用法代码示例。如果您正苦于以下问题：Python DataSet.get_column方法的具体用法？Python DataSet.get_column怎么用？Python DataSet.get_column使用的例子？那么, 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.get_column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_slice_features_original_unchanged
# 需要导入模块: from pml.data.model import DataSet [as 别名]
# 或者: from pml.data.model.DataSet import get_column [as 别名]
def test_slice_features_original_unchanged(self):
df = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]],
columns=["weight", "height", "age"])
labels = ["m", "f", "m"]
dataset = DataSet(df, labels=labels)
sliced = dataset.slice_features(["weight", "height"])
# Modify sliced data
sliced.set_column("weight", [0, 0, 0])
sliced.labels[0] = "x"
# Check that it was indeed changed
assert_that(sliced.get_column("weight"), contains(0, 0, 0))
assert_that(sliced.get_labels(), contains("x", "f", "m"))
# Verify it was not changed in the original dataset
assert_that(dataset.get_column("weight"), contains(1, 4, 7))
assert_that(dataset.get_labels(), contains(*labels))示例2: test_get_column
# 需要导入模块: from pml.data.model import DataSet [as 别名]
# 或者: from pml.data.model.DataSet import get_column [as 别名]
def test_get_column(self):
dataset = DataSet([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
column1 = dataset.get_column(1)
assert_that(column1.values, contains(2, 5, 8))示例3: test_get_column_set_value
# 需要导入模块: from pml.data.model import DataSet [as 别名]
# 或者: from pml.data.model.DataSet import get_column [as 别名]
def test_get_column_set_value(self):
dataset = DataSet([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
dataset.get_column(1)[:] = 1
assert_that(dataset.get_column(1), contains(1, 1, 1))