Here are the examples of the python api numpy.int taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
145 Examples
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())
3
View Complete Implementation : test_clustering_moran.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
Copyright BSD 3-Clause "New" or "Revised" License
Author : CartoDB
def test_quad_position(self):
"""Test lisa_sig_vals"""
from crankshaft.clustering import quad_position
quads = np.array([1, 2, 3, 4], np.int)
ans = np.array(['HH', 'LH', 'LL', 'HL'])
test_ans = quad_position(quads)
self.astertTrue((test_ans == ans).all())