Python 如何修复：float（）参数可以是字符串或数字，而不是'；地图'；

这是我的简单代码：

我已尝试更改某些数据类型

@staticmethod
def load_from_file(filename, size_fit = 50):
    '''
    Loads the signal data from a file.
    filename: indicates the path of the file.
    size_fit: is the final number of sample axes will have.
    It uses linear interpolation to increase or decrease
    the number of samples.
    '''
    #Load the signal data from the file as a list
    #It skips the first and the last line and converts each number into an int
    data_raw = list(map(lambda x: int(x), i.split(" ")[1:-1]) for i in open(filename))
    #Convert the data into floats
    data = np.array(data_raw).astype(float)
    #Standardize the data by scaling it
    data_norm = scale(data)

它抛出一个错误，如下所示：

data=np.array(data_raw).astype(float)
float() argument must be 'string' or 'number', not 'map' 

---

请帮助我解决此问题

您正在制作

地图

对象列表。请尝试以下列表：

data_raw = [[int(x) for x in i.split()[1:-1]] for i in open(filename)]

split

默认为在空白处拆分，因此不需要该参数。此外，请考虑将

与

一起使用以正确关闭文件：

with open(filename) as infile:
    data_raw = [[int(x) for x in i.split()[1:-1]] for i in infile]

---

另一方面，

numpy

在执行

astype

操作时会将字符串转换为数字，因此您只需执行以下操作即可

with open(filename) as infile:
    data_raw = [i.split()[1:-1] for i in infile]

---

您能告诉我们您试图打开的文件是什么样子的吗？同样在我看来，您需要“具体化”生成的地图列表。为了清晰起见，您最好将该行（原始数据）分解为多个步骤。