如何使用 pandas 将数据从csv加载到numpy数组中 [英] How to load data from csv into numpy array using pandas

问题描述

我想使用pandas库将csv行加载到numpy数组中.我可以使用pandas读取csv，但还没有找到任何允许在csv文件中逐行读取的功能.

I want to load csv rows into a numpy array using pandas library. I can read the csv using pandas but havent found any function that allows reading row by row in csv file.

如何使用熊猫从csv逐行读取并将其放入数组?

How do I read row by row from csv using pandas and put it into an array?

例如

     Parch            Ticket      Fare        Cabin Embarked  
0        0         A/5 21171    7.2500          NaN        S  
1        0          PC 17599   71.2833          C85        C  

我想创建一个这样的列表列表:

I want to create a list of lists like this:

[
[0, "A/5", 21171, 7.2500, NaN, "S"],
[0, "PC", 17599, 71.2833, "C85", "C"]
]

推荐答案

首先由numpy array .values.html"rel =" nofollow> values ，然后

First convert to numpy array by values and then ndarray.tolist:

print (df.values)
[[0 'A/5 21171' 7.25 nan 'S']
 [0 'PC 17599' 71.2833 'C85' 'C']]

print (df.values.tolist())
[[0, 'A/5 21171', 7.25, nan, 'S'], [0, 'PC 17599', 71.2833, 'C85', 'C']]

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