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replace numpy.bool with bool #138

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replace numpy.bool with bool #138

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2 changes: 1 addition & 1 deletion convoys/multi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ def fit(self, G, B, T):
G = numpy.array(G, dtype=numpy.int)
n, = G.shape
self._n_groups = max(G) + 1
X = numpy.zeros((n, self._n_groups), dtype=numpy.bool)
X = numpy.zeros((n, self._n_groups), dtype=bool)
for i, group in enumerate(G):
X[i,group] = 1
self.base_model.fit(X, B, T)
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2 changes: 1 addition & 1 deletion convoys/regression.py
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Expand Up @@ -344,7 +344,7 @@ def rvs(self, x, n_curves=1, n_samples=1, T=None):
T = numpy.zeros((n_curves, n_samples))
else:
assert T.shape == (n_curves, n_samples)
B = numpy.zeros((n_curves, n_samples), dtype=numpy.bool)
B = numpy.zeros((n_curves, n_samples), dtype=bool)
C = numpy.zeros((n_curves, n_samples))
params = self.params['samples']
for i, j in enumerate(numpy.random.randint(len(params['k']),
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2 changes: 1 addition & 1 deletion test_convoys.py
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Expand Up @@ -344,7 +344,7 @@ def test_convert_dataframe_created_at_nan(n=1000):
df.loc[df.index[0], 'created'] = None
unit, groups, (G, B, T) = convoys.utils.get_arrays(df)
assert numpy.issubdtype(G.dtype, numpy.integer)
assert numpy.issubdtype(B.dtype, numpy.bool_)
assert numpy.issubdtype(B.dtype, bool)
assert numpy.issubdtype(T.dtype, numpy.number)


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