本文介绍了Numpy.dot TypeError:无法根据规则“安全"将数组数据从dtype('float64')转换为dtype('S32')的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
为什么在使用np.dot(a,b.T)时出现此错误:
Why am I getting this error when using np.dot(a,b.T):
TypeError: Cannot cast array data from dtype('float64')
to dtype('S32') according to the rule 'safe'
a和b的类型为numpy.ndarray.我的NumPy版本是1.11.0.
a and b are of type numpy.ndarray. My NumPy version is 1.11.0.
推荐答案
只需从BrenBarn和Warren Weckesser的输入中提供一个应运行的代码段(通过将字符串转换为float即可):
Just taking the input from BrenBarn and Warren Weckesser to provide a code snippet which should run (by converting your strings to float):
a = map(lambda x: float(x),a)
b = map(lambda x: float(x),b)
np.dot(a,b.T)
或更简单，如@JLT所建议
or simpler as suggested by @JLT
a = map(float,a)
b = map(float,b)
np.dot(a,b.T)
但是正如沃伦·韦克瑟(Warren Weckesser)所说的那样，您应该检查数组的类型，很可能其中一个已经包含浮点数.
But as Warren Weckesser already said, you should check the types of the array, most likely one already contains floats.
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