本文整理汇总了Python中blaze.expr.Symbol.distinct方法的典型用法代码示例。如果您正苦于以下问题：Python Symbol.distinct方法的具体用法？Python Symbol.distinct怎么用？Python Symbol.distinct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blaze.expr.Symbol的用法示例。
在下文中一共展示了Symbol.distinct方法的4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_distinct_name
# 需要导入模块: from blaze.expr import Symbol [as 别名]
# 或者: from blaze.expr.Symbol import distinct [as 别名]
def test_distinct_name():
t = Symbol('t', 'var * {id: int32, name: string}')
assert t.name.isidentical(t['name'])
assert t.distinct().name.isidentical(t.distinct()['name'])
assert t.id.distinct()._name == 'id'
assert t.name._name == 'name'示例2: test_Distinct
# 需要导入模块: from blaze.expr import Symbol [as 别名]
# 或者: from blaze.expr.Symbol import distinct [as 别名]
def test_Distinct():
t = Symbol('t', 'var * {name: string, amount: int32}')
r = distinct(t['name'])
print(r.dshape)
assert r.dshape == dshape('var * string')
assert r._name == 'name'
r = t.distinct()
assert r.dshape == t.dshape示例3: test_Distinct
# 需要导入模块: from blaze.expr import Symbol [as 别名]
# 或者: from blaze.expr.Symbol import distinct [as 别名]
def test_Distinct():
x = np.array([('Alice', 100),
('Alice', -200),
('Bob', 100),
('Bob', 100)],
dtype=[('name', 'S5'), ('amount', 'i8')])
t = Symbol('t', 'var * {name: string, amount: int64}')
assert eq(compute(t['name'].distinct(), x),
np.unique(x['name']))
assert eq(compute(t.distinct(), x),
np.unique(x))示例4: by
# 需要导入模块: from blaze.expr import Symbol [as 别名]
# 或者: from blaze.expr.Symbol import distinct [as 别名]
t[t.amount > 50]['name']: [],
by(t.name, t.amount.sum()): [],
by(t.id, t.id.count()): [],
by(t[['id', 'amount']], t.id.count()): [],
by(t[['id', 'amount']], (t.amount + 1).sum()): [mongo],
by(t[['id', 'amount']], t.name.nunique()): [mongo],
by(t.id, t.amount.count()): [],
by(t.id, t.id.nunique()): [mongo],
# by(t, t.count()): [],
# by(t.id, t.count()): [df],
t[['amount', 'id']]: [x], # https://github.com/numpy/numpy/issues/3256
t[['id', 'amount']]: [x, bc], # bcolz sorting
t[0]: [sql, mongo],
t[::2]: [sql, mongo],
t.id.utcfromtimestamp: [sql],
t.distinct().nrows: [],
t.nelements(axis=0): [],
t.nelements(axis=None): []
}
base = df
def df_eq(a, b):
return (list(a.columns) == list(b.columns)
and list(a.dtypes) == list(b.dtypes)
and into(set, into(list, a)) == into(set, into(list, b)))
def typename(obj):
return type(obj).__name__