[英]numpy.AxisError: source: axis 2 is out of bounds for array of dimension 2
[英]numpy.AxisError: axis 1 is out of bounds for array of dimension 1 - numpy array
我正在嘗試獲取具有以下形狀的數組的累積和: (1000, 117)
但似乎該數組被視為向量,並且“numpy.cumsum” output 作為 117000 大小的向量而不是 (1000, 117) 維度矩陣出現這些是代碼行及其在 # 中的輸出:
print(np.shape(rates))
#(1000, 117)
cum_rates = numpy.cumsum(rates[:, -1], axis = 1)
#numpy.AxisError: axis 1 is out of bounds for array of dimension 1
這是我創建rates數組的方法:
rates = np.zeros([taille, pas+1])
rates[:, 0] = r0
for i in range(pas):
z = np.random.normal(taille)
x[:, i+1] = x[:, i] + kappa*(theta - x[:, i])*dt + sigma*np.sqrt(x[:, i])*z*dt
rates[:, i+1] = x[:, i+1] + phi[i]
你建議我如何解決這個問題?
精度: "rates[:,-1]"
是刪除一列的rates矩陣
最后,我放了實際的索引而不是 -1,它似乎已經奏效了......
這會重現您的錯誤消息:
In [20]: rates = np.ones((3,5))
In [21]: rates[:,-1]
Out[21]: array([1., 1., 1.])
In [22]: np.cumsum(rates[:,-1], axis=1)
---------------------------------------------------------------------------
AxisError Traceback (most recent call last)
<ipython-input-22-4261312fb007> in <module>
----> 1 np.cumsum(rates[:,-1], axis=1)
<__array_function__ internals> in cumsum(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/numpy/core/fromnumeric.py in cumsum(a, axis, dtype, out)
2468
2469 """
-> 2470 return _wrapfunc(a, 'cumsum', axis=axis, dtype=dtype, out=out)
2471
2472
/usr/local/lib/python3.6/dist-packages/numpy/core/fromnumeric.py in _wrapfunc(obj, method, *args, **kwds)
59
60 try:
---> 61 return bound(*args, **kwds)
62 except TypeError:
63 # A TypeError occurs if the object does have such a method in its
AxisError: axis 1 is out of bounds for array of dimension 1
Out[21]
是 1d。
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