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用numpy处理大数据遇到的问题

在使用numpy读取一个四百多万行数据的.csv文件时抛出了如下异常：

numpy.core._exceptions.MemoryError: Unable to allocate array with shape (4566386, 23) and data type <U20

以下是我的源代码：

import numpy as np
import matplotlib.pyplot as mp
import sklearn.ensemble as se
import sklearn.metrics as sm
headers = None
data = []
with open (‘/home/tarena/桌面/i-80.csv‘,‘r‘) as f:
    for i,line in enumerate( f.readlines()):
        if i==0:
            headers=line.split(‘,‘)[2:]
        else:
            data.append(line.split(‘,‘)[2:])
headers = np.array(data)
data = np.array(data)
print(headers.shape)
print(data.shape)

以下是运行结果：

Traceback (most recent call last):
  File "/home/tarena/桌面/read_forest.py", line 13, in <module>
    headers = np.array(data)
numpy.core._exceptions.MemoryError: Unable to allocate array with shape (4566386, 23) and data type <U20

Process finished with exit code 1

虽然是报错，但是还是拿到了结果。

各位大佬们，有没有解决方案？

文章来自：https://www.cnblogs.com/bitrees/p/11369327.html