希望ref函数中参数n支持序列值

[hotwind2015]

No description provided.

[kevinyang72]

I'm facing the same issue. Please add this support.

[hotwind2015]

I'm facing the same issue. Please add this support.
试试下面的这个

def REF(S, N=1):  # 对序列整体下移动N,返回序列(shift后会产生NAN)
    if isinstance(N, (int, float)):
        return pd.Series(S).shift(N).values
    else:
        res = np.repeat(np.nan, len(S))
        for i in range(len(S)):
            if (not np.isnan(N[i])):
                res[i] = S[N[i]]
        return res

[kevinyang72]

Does not seem working for me.
How the shift works here with "res[i] = S[N[i]]"?

[hotwind2015]

Does not seem working for me. How the shift works here with "res[i] = S[N[i]]"?

try this

def REF(S, N=1):  # 对序列整体下移动N,返回序列(shift后会产生NAN)
    if isinstance(N, (int, float)):
        return pd.Series(S).shift(N).values
    else:
        res = np.repeat(np.nan, len(S))
        for i in range(len(S)):
            if (not np.isnan(N[i])):
                res[i] = pd.Series(S).shift(N[i])[i]
        return res

S=[0,1,2,3,4,5]
N = [1,2,2,3,3,1]
res = REF(S,N)
print(res)

# will print [nan nan  0.  0.  1.  4.]

[kevinyang72]

Excellent! It works!