Algorithms, functions, classes, regular expressions, iterators, generators, OOP, exceptions, NumPy, pandas, scikit-learn
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Questions — @dina_ladnyuk
Post #2601
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PY @python_tasks
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import numpy as np
a = np.array([0.1, 0.25])
b = np.array([0.1, 0.26])
c = np.allclose(a, b, atol=1e-1)
print(c)
import numpy as np
a = np.array([0.1, 0.25])
b = np.array([0.3, 0.26])
c = np.isclose(a, b, atol=1e-1)
print(*c)
import numpy as np
a = np.array([1, 1j])
x = np.isreal(a)
y = np.iscomplex(a)
z = x.sum() + y.sum()
print(z)
import numpy as np
a = np.array([True, False])
print(np.all(a), np.any(a))
import numpy as np
r = np.array([3, 4, 5])
import numpy as np
a = np.array([[0], [1]])
b = np.array([[1], [-1]])
import numpy as np
a = np.array([[0], [1]])
b = np.array([[1], [-1]])
import numpy as np
a = [('x', 6.0, 1), ('y', 5.0, 2), ('z', 5.0, 3)]
dtype = [('val', 'S1'), ('float', 'f8'), ('int', 'i4')]
b = np.array(a, dtype=dtype)
b.sort(order=['float', 'int'])
print(b[1][0].decode())
import numpy as np
dt = np.dtype([('x', 'f8')])
a = np.zeros(4, dtype=dt)
a['x'] = np.array((0., 1., 2., 3.))
print(a['x'][2] + a['x'][3])