将python dict或csv文件转换为数据帧

Question

我有一个字典转储为csv，如下所示。我如何将它转换为数据框 X，Y，SN作为头文件？我正在考虑写一个for循环和利用拆分 但它似乎犯规很优雅，也没有效率......

"49,42",001C0BA79A44 
"49,43",001C0BA79A46 
"49,40",001C0BA79A40 
"49,41",001C0BA79A42 
"67,22",001C0BA791E8 
"65,31",001C0BA7991E 
"67,23",001C0BA793BA 
"64,25",001C0BA79416 
"74,29",001C0BA79354 
"65,33",001C0BA79922 
"58,12",001C0BA78B2D 
"65,32",001C0BA79920 
"72,36",001C0BA79E08 
"49,31",001C0BA79525 
"65,51",001C0BA7A834 
"62,46",001C0BA7A729 
"49,30",001C0BA79523 
"66,40",001C0BA79F45 
"52,42",001C0BA7A07E 
"58,17",001C0BA78F49 
"52,40",001C0BA79A5E 
"52,41",001C0BA79A60 
"52,46",001C0BA7A0B8 
"52,44",001C0BA7A082 
"64,20",001C0BA791AD 
"55,29",001C0BA7963E 
"55,28",001C0BA7963C 
"69,48",001C0BA7A689 
"58,15",001C0BA78F45 
"55,21",001C0BA79136 
"55,20",001C0BA79134 
"55,23",001C0BA7913A 
"55,22",001C0BA79138 
"55,25",001C0BA794A1 
"55,24",001C0BA7949F 

Answer 1

不要使用for循环，增加行到现有的数据帧是不是很有效。

def split(string): 
    return string.split(',', 1) 

df = pd.read_csv(file_path, header=None, names=['Cord', 'SN']) 
df['X'], df['Y'] = zip(*df.Cord.map(split)) 
df = df[['X', 'Y', 'SN']] 

请参阅文档here。