Question

运行脚本会导致异常： TypeError int（）参数必须是字符串，类似字节的对象或数字，而不是'datetime.datetime' data = np.asarray(tmp, dtype=data_type)

from datetime import datetime
import numpy as np


data_type = [("Scan", "i4"), ("Time", "M8[us]"), ("101 (C)", "f8"), ("Alarm 
             101", "?"), ("102 (C)", "f8"), ("Alarm 102", "?")]
data_text = """1,12/6/2018 09:22:25:462,22.661,0,22.046,0
               2,12/6/2018 09:22:35:446,22.874,0,22.289,0
               3,12/6/2018 09:22:45:446,22.948,0,22.385,0"""


def main():
    tmp = []
    for line in data_text.split("\n"):
        dataLine = []
        for (h, _), v in zip(data_type, line.split(",")):
            if h == "Scan":
                dataLine.append(int(v))
            elif h == "Time":
                # dataLine.append(datetime.strptime(v, "%m/%d/%Y %H:%M:%S:%f"))
                dataLine.append(np.datetime64(datetime.strptime(v, "%m/%d/%Y %H:%M:%S:%f"), "us"))
            elif "Alarm" in h:
                dataLine.append(bool(v))
            else:
                dataLine.append(float(v))
        tmp.append(dataLine)
    data = np.asarray(tmp, dtype=data_type)

if __name__ == "__main__":
    main()

从numpy文档中，我看不出它不起作用的原因。我所能想到的最好的事情是，我缺少有关numpy结构化数组的某些知识。是语法问题，numpy错误，还是可能与numpy有关？

我的设置：

Windows 10
Python版本3.7.0
Numpy版本1.15.4

Answer 1

您只需要将dataLine列表转换为元组，它就可以正常工作。那是因为您的array应该保留形状（3，）。使用dataLine作为列表asarray会将每个单独的值解释为形状为（3,6）的多维数组的一部分，并且您想要的dtype将不受尊重。

def main():
    tmp = []
    for line in data_text.split("\n"):
        dataLine = []
        for (h, _), v in zip(data_type, line.split(",")):
            if h == "Scan":
                dataLine.append(int(v))
            elif h == "Time":
                # dataLine.append(datetime.strptime(v, "%m/%d/%Y %H:%M:%S:%f"))
                dataLine.append(np.datetime64(datetime.strptime(v, "%m/%d/%Y %H:%M:%S:%f"), "us"))
            elif "Alarm" in h:
                dataLine.append(bool(v))
            else:
                dataLine.append(float(v))
        tmp.append(tuple(dataLine))

    data = np.asarray(tmp, dtype=data_type)

在结构化数组中使用numpy.datetime64的TypeError

1 个答案: