In [329]: %time my_data = genfromtxt('one.csv', delimiter=',')
CPU times: user 19.8 s, sys: 4.58 s, total: 24.4 s
Wall time: 24.4 s

In [330]: %time df = pd.read_csv("one.csv", skiprows=20)
CPU times: user 1.06 s, sys: 312 ms, total: 1.38 s
Wall time: 1.38 s

这件作品很有魅力……

import csv
with open("data.csv", 'r') as f:
    data = list(csv.reader(f, delimiter=";"))

import numpy as np
data = np.array(data, dtype=np.float)

使用numpy.genfromtxt()，将分隔符kwarg设置为逗号:

from numpy import genfromtxt
my_data = genfromtxt('my_file.csv', delimiter=',')

您可以使用此代码将CSV文件数据发送到数组中:

import numpy as np
csv = np.genfromtxt('test.csv', delimiter=",")
print(csv)

这是最简单的方法:

import csv
with open('testfile.csv', newline='') as csvfile:
    data = list(csv.reader(csvfile))

现在数据中的每个条目都是一个记录，表示为一个数组。你有一个二维数组。这节省了我很多时间。

我试了一下:

import pandas as p
import numpy as n

closingValue = p.read_csv("<FILENAME>", usecols=[4], dtype=float)
print(closingValue)