本文整理汇总了Python中pandas.sparse.api.SparseSeries.valid方法的典型用法代码示例。如果您正苦于以下问题：Python SparseSeries.valid方法的具体用法？Python SparseSeries.valid怎么用？Python SparseSeries.valid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.sparse.api.SparseSeries的用法示例。
在下文中一共展示了SparseSeries.valid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_valid
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import valid [as 别名]
def test_valid(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
assert_almost_equal(sp_valid, sp.to_dense().valid())
self.assert_(sp_valid.index.equals(sp.to_dense().valid().index))
self.assertEquals(len(sp_valid.sp_values), 2)示例2: test_dropna
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import valid [as 别名]
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
assert_almost_equal(sp_valid.values, sp.to_dense().valid().values)
self.assert_(sp_valid.index.equals(sp.to_dense().valid().index))
self.assertEquals(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assert_(not isinstance(result, SparseSeries))
tm.assert_series_equal(result, expected)示例3: test_dropna
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import valid [as 别名]
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
expected = sp.to_dense().valid()
expected = expected[expected != 0]
tm.assert_almost_equal(sp_valid.values, expected.values)
self.assertTrue(sp_valid.index.equals(expected.index))
self.assertEqual(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assertNotIsInstance(result, SparseSeries)
tm.assert_series_equal(result, expected)示例4: test_dropna
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import valid [as 别名]
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
expected = sp.to_dense().valid()
expected = expected[expected != 0]
exp_arr = pd.SparseArray(expected.values, fill_value=0, kind='block')
tm.assert_sp_array_equal(sp_valid.values, exp_arr)
self.assert_index_equal(sp_valid.index, expected.index)
self.assertEqual(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assertNotIsInstance(result, SparseSeries)
tm.assert_series_equal(result, expected)