本文整理汇总了Python中pandas.sparse.api.SparseDataFrame.count方法的典型用法代码示例。如果您正苦于以下问题：Python SparseDataFrame.count方法的具体用法？Python SparseDataFrame.count怎么用？Python SparseDataFrame.count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.SparseDataFrame的用法示例。
在下文中一共展示了SparseDataFrame.count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: TestSparseDataFrame
# 需要导入模块: from pandas.sparse.api import SparseDataFrame [as 别名]
# 或者: from pandas.sparse.api.SparseDataFrame import count [as 别名]
#.........这里部分代码省略.........
y.ix[:9998] = 0
# TODO: y_sparse is unsused...fix
y_sparse = y.to_sparse(fill_value=0) # noqa
# without sparse value raises error
# df2 = SparseDataFrame([x2_sparse, y])
def test_constructor_preserve_attr(self):
# GH 13866
arr = pd.SparseArray([1, 0, 3, 0], dtype=np.int64, fill_value=0)
self.assertEqual(arr.dtype, np.int64)
self.assertEqual(arr.fill_value, 0)
df = pd.SparseDataFrame({'x': arr})
self.assertEqual(df['x'].dtype, np.int64)
self.assertEqual(df['x'].fill_value, 0)
s = pd.SparseSeries(arr, name='x')
self.assertEqual(s.dtype, np.int64)
self.assertEqual(s.fill_value, 0)
df = pd.SparseDataFrame(s)
self.assertEqual(df['x'].dtype, np.int64)
self.assertEqual(df['x'].fill_value, 0)
df = pd.SparseDataFrame({'x': s})
self.assertEqual(df['x'].dtype, np.int64)
self.assertEqual(df['x'].fill_value, 0)
def test_dtypes(self):
df = DataFrame(np.random.randn(10000, 4))
df.ix[:9998] = np.nan
sdf = df.to_sparse()
result = sdf.get_dtype_counts()
expected = Series({'float64': 4})
tm.assert_series_equal(result, expected)
def test_shape(self):
# GH 10452
self.assertEqual(self.frame.shape, (10, 4))
self.assertEqual(self.iframe.shape, (10, 4))
self.assertEqual(self.zframe.shape, (10, 4))
self.assertEqual(self.fill_frame.shape, (10, 4))
def test_str(self):
df = DataFrame(np.random.randn(10000, 4))
df.ix[:9998] = np.nan
sdf = df.to_sparse()
str(sdf)
def test_array_interface(self):
res = np.sqrt(self.frame)
dres = np.sqrt(self.frame.to_dense())
tm.assert_frame_equal(res.to_dense(), dres)
def test_pickle(self):
def _test_roundtrip(frame, orig):
result = self.round_trip_pickle(frame)
tm.assert_sp_frame_equal(frame, result)
tm.assert_frame_equal(result.to_dense(), orig, check_dtype=False)
_test_roundtrip(SparseDataFrame(), DataFrame())
self._check_all(_test_roundtrip)
示例2: TestSparseDataFrame
# 需要导入模块: from pandas.sparse.api import SparseDataFrame [as 别名]
# 或者: from pandas.sparse.api.SparseDataFrame import count [as 别名]
#.........这里部分代码省略.........
def test_density(self):
df = SparseDataFrame(
{
"A": [nan, nan, nan, 0, 1, 2, 3, 4, 5, 6],
"B": [0, 1, 2, nan, nan, nan, 3, 4, 5, 6],
"C": np.arange(10),
"D": [0, 1, 2, 3, 4, 5, nan, nan, nan, nan],
}
)
self.assertEquals(df.density, 0.75)
def test_to_dense(self):
def _check(frame):
dense_dm = frame.to_dense()
assert_frame_equal(frame, dense_dm)
self._check_all(_check)
def test_stack_sparse_frame(self):
def _check(frame):
dense_frame = frame.to_dense()
wp = Panel.from_dict({"foo": frame})
from_dense_lp = wp.to_frame()
from_sparse_lp = spf.stack_sparse_frame(frame)
self.assert_(np.array_equal(from_dense_lp.values, from_sparse_lp.values))
_check(self.frame)
_check(self.iframe)
# for now
self.assertRaises(Exception, _check, self.zframe)
self.assertRaises(Exception, _check, self.fill_frame)
def test_transpose(self):
def _check(frame):
transposed = frame.T
untransposed = transposed.T
assert_sp_frame_equal(frame, untransposed)
self._check_all(_check)
def test_shift(self):
def _check(frame):
shifted = frame.shift(0)
self.assert_(shifted is not frame)
assert_sp_frame_equal(shifted, frame)
f = lambda s: s.shift(1)
_dense_frame_compare(frame, f)
f = lambda s: s.shift(-2)
_dense_frame_compare(frame, f)
f = lambda s: s.shift(2, timeRule="WEEKDAY")
_dense_frame_compare(frame, f)
f = lambda s: s.shift(2, offset=datetools.bday)
_dense_frame_compare(frame, f)
self._check_all(_check)
def test_count(self):
result = self.frame.count()
dense_result = self.frame.to_dense().count()
assert_series_equal(result, dense_result)
result = self.frame.count(1)
dense_result = self.frame.to_dense().count(1)
# win32 don't check dtype
assert_series_equal(result, dense_result, check_dtype=False)
def test_cumsum(self):
result = self.frame.cumsum()
expected = self.frame.to_dense().cumsum()
self.assert_(isinstance(result, SparseDataFrame))
assert_frame_equal(result.to_dense(), expected)
def _check_all(self, check_func):
check_func(self.frame)
check_func(self.iframe)
check_func(self.zframe)
check_func(self.fill_frame)
def test_combine_first(self):
df = self.frame
result = df[::2].combine_first(df)
result2 = df[::2].combine_first(df.to_dense())
expected = df[::2].to_dense().combine_first(df.to_dense())
expected = expected.to_sparse(fill_value=df.default_fill_value)
assert_sp_frame_equal(result, result2)
assert_sp_frame_equal(result, expected)