##### numpy 指数和对数 ```python np.exp(x, /[, out, where, casting, order, ...]) # e^x [ufunc] np.expm1(x, /[, out, where, casting, order, ...]) # e^x - 1 [ufunc] np.exp2(x, /[, out, where, casting, order, ...]) # 2^x [ufunc] np.log(x, /[, out, where, casting, order, ...]) # lnx [ufunc] np.log10(x, /[, out, where, casting, order, ...]) # log10x [ufunc] np.log2(x, /[, out, where, casting, order, ...]) # log2x [ufunc] np.log1p(x, /[, out, where, casting, order, ...]) # ln(x+1) [ufunc] np.logaddexp(x1, x2, /[, out, where, casting, ...]) # log(e^x1 + e^x2) [ufunc] np.logaddexp2(x1, x2, /[, out, where, casting, ...]) # log2(2^x1 + 2^x2) [ufunc] np.sqrt(x, /[, out, where, casting, order, ...]) # 非负数的平方根 [ufunc] np.cbrt(x, /[, out, where, casting, order, ...]) # 立方根 [ufunc] np.square(x, /[, out, where, casting, order, ...]) # 平方值 [ufunc] ```