Python pandas._libs.hashtable.unique_label_indices() Examples
The following are 8
code examples of pandas._libs.hashtable.unique_label_indices().
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Example #1
| Source File: sorting.py From recruit with Apache License 2.0 | 6 votes |
|
def decons_obs_group_ids(comp_ids, obs_ids, shape, labels, xnull):
"""
reconstruct labels from observed group ids
Parameters
----------
xnull: boolean,
if nulls are excluded; i.e. -1 labels are passed through
"""
if not xnull:
lift = np.fromiter(((a == -1).any() for a in labels), dtype='i8')
shape = np.asarray(shape, dtype='i8') + lift
if not is_int64_overflow_possible(shape):
# obs ids are deconstructable! take the fast route!
out = decons_group_index(obs_ids, shape)
return out if xnull or not lift.any() \
else [x - y for x, y in zip(out, lift)]
i = unique_label_indices(comp_ids)
i8copy = lambda a: a.astype('i8', subok=False, copy=True)
return [i8copy(lab[i]) for lab in labels]
Example #2
| Source File: sorting.py From vnpy_crypto with MIT License | 6 votes |
|
def decons_obs_group_ids(comp_ids, obs_ids, shape, labels, xnull):
"""
reconstruct labels from observed group ids
Parameters
----------
xnull: boolean,
if nulls are excluded; i.e. -1 labels are passed through
"""
if not xnull:
lift = np.fromiter(((a == -1).any() for a in labels), dtype='i8')
shape = np.asarray(shape, dtype='i8') + lift
if not is_int64_overflow_possible(shape):
# obs ids are deconstructable! take the fast route!
out = decons_group_index(obs_ids, shape)
return out if xnull or not lift.any() \
else [x - y for x, y in zip(out, lift)]
i = unique_label_indices(comp_ids)
i8copy = lambda a: a.astype('i8', subok=False, copy=True)
return [i8copy(lab[i]) for lab in labels]
Example #3
| Source File: sorting.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def decons_obs_group_ids(comp_ids, obs_ids, shape, labels, xnull):
"""
reconstruct labels from observed group ids
Parameters
----------
xnull: boolean,
if nulls are excluded; i.e. -1 labels are passed through
"""
if not xnull:
lift = np.fromiter(((a == -1).any() for a in labels), dtype='i8')
shape = np.asarray(shape, dtype='i8') + lift
if not is_int64_overflow_possible(shape):
# obs ids are deconstructable! take the fast route!
out = decons_group_index(obs_ids, shape)
return out if xnull or not lift.any() \
else [x - y for x, y in zip(out, lift)]
i = unique_label_indices(comp_ids)
i8copy = lambda a: a.astype('i8', subok=False, copy=True)
return [i8copy(lab[i]) for lab in labels]
Example #4
| Source File: sorting.py From Splunking-Crime with GNU Affero General Public License v3.0 | 6 votes |
|
def decons_obs_group_ids(comp_ids, obs_ids, shape, labels, xnull):
"""
reconstruct labels from observed group ids
Parameters
----------
xnull: boolean,
if nulls are excluded; i.e. -1 labels are passed through
"""
if not xnull:
lift = np.fromiter(((a == -1).any() for a in labels), dtype='i8')
shape = np.asarray(shape, dtype='i8') + lift
if not is_int64_overflow_possible(shape):
# obs ids are deconstructable! take the fast route!
out = decons_group_index(obs_ids, shape)
return out if xnull or not lift.any() \
else [x - y for x, y in zip(out, lift)]
i = unique_label_indices(comp_ids)
i8copy = lambda a: a.astype('i8', subok=False, copy=True)
return [i8copy(lab[i]) for lab in labels]
Example #5
| Source File: sorting.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def decons_obs_group_ids(comp_ids, obs_ids, shape, labels, xnull):
"""
reconstruct labels from observed group ids
Parameters
----------
xnull: boolean,
if nulls are excluded; i.e. -1 labels are passed through
"""
if not xnull:
lift = np.fromiter(((a == -1).any() for a in labels), dtype='i8')
shape = np.asarray(shape, dtype='i8') + lift
if not is_int64_overflow_possible(shape):
# obs ids are deconstructable! take the fast route!
out = decons_group_index(obs_ids, shape)
return out if xnull or not lift.any() \
else [x - y for x, y in zip(out, lift)]
i = unique_label_indices(comp_ids)
i8copy = lambda a: a.astype('i8', subok=False, copy=True)
return [i8copy(lab[i]) for lab in labels]
Example #6
| Source File: test_algos.py From vnpy_crypto with MIT License | 5 votes |
|
def test_unique_label_indices():
a = np.random.randint(1, 1 << 10, 1 << 15).astype('i8')
left = unique_label_indices(a)
right = np.unique(a, return_index=True)[1]
tm.assert_numpy_array_equal(left, right,
check_dtype=False)
a[np.random.choice(len(a), 10)] = -1
left = unique_label_indices(a)
right = np.unique(a, return_index=True)[1][1:]
tm.assert_numpy_array_equal(left, right,
check_dtype=False)
Example #7
| Source File: test_algos.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_unique_label_indices():
a = np.random.randint(1, 1 << 10, 1 << 15).astype('i8')
left = unique_label_indices(a)
right = np.unique(a, return_index=True)[1]
tm.assert_numpy_array_equal(left, right,
check_dtype=False)
a[np.random.choice(len(a), 10)] = -1
left = unique_label_indices(a)
right = np.unique(a, return_index=True)[1][1:]
tm.assert_numpy_array_equal(left, right,
check_dtype=False)
Example #8
| Source File: test_algos.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_unique_label_indices():
a = np.random.randint(1, 1 << 10, 1 << 15).astype('i8')
left = unique_label_indices(a)
right = np.unique(a, return_index=True)[1]
tm.assert_numpy_array_equal(left, right,
check_dtype=False)
a[np.random.choice(len(a), 10)] = -1
left = unique_label_indices(a)
right = np.unique(a, return_index=True)[1][1:]
tm.assert_numpy_array_equal(left, right,
check_dtype=False)
