如何使用 Python 中的 pandas 读取 csv 文件？

Question

I'm trying to read the following csv file https://storage.googleapis.com/play_public/supported_devices.csv using pandas:

android_data = pandas.read_csv("https://storage.googleapis.com/play_public/supported_devices.csv", sep = "delimiter", encoding = "ISO-8859-1", engine = "python")
print(android_data.head(10))

但该文件没有解析好，这意味着 dataframe 包含以下数据：

   ÿþRetail Branding,Marketing Name,Device,Model
0                                                                                        
1  ,,AD681H,Smartfren Andr...                                      
2                                                                                        
3                        ,,FJL21,FJL21                                      
4                                                                                        
5  ,,hws7721g,MediaPad 7 Y...                                      
6                                                                                        
7  1&1,1&1 Puck,diw362_1u1...                                      
8                                                                                        
9  1&1,1&1 TV Box,diw387_1...  

为什么偶数行是空的，为什么每个奇数行都包含“零售品牌”列下的所有行数据？

Answer 1

该文件实际上编码为 UTF-16LE， sep应该是"," ，而不是"delimiter" 。 以下对我有用：

url = "https://storage.googleapis.com/play_public/supported_devices.csv"
android_data = pandas.read_csv(url, sep=",", encoding="UTF-16LE", engine="c")