Question

我正在尝试将以下csv文件格式读取到pandas DataFrame

"Indikator";"Grupp";"2014M04";"2014M05";"2014M06";"2014M07";"2014M08";"2014M09";"2014M10";"2014M11";"2014M12";"2015M01";"2015M02";"2015M03";"2015M04";"2015M05";"2015M06";"2015M07";"2015M08";"2015M09";"2015M10";"2015M11";"2015M12";"2016M01"

"Konfidensindikatorhushåll(CCI)";"Alla";100.3;102.1;101.8;100.4;95.7;102.0;97.8;98.3;98.4;98.8;97.5;100.7;97.2;99.1;98.0;96.4;99.8;98.2;98.9;96.2;98.6;97.5

第一行是日期，第二行是值。我有什么建议可以解决这个问题？

提前谢谢！

Answer 1

您可以将常用pd.read_csv与header=None一起使用，然后转置您的数据框：

df = pd.read_csv('your_file', sep=';', header=None)

In [31]: df.T
Out[31]: 
            0                               1
0   Indikator  Konfidensindikatorhushåll(CCI)
1       Grupp                            Alla
2     2014M04                           100.3
3     2014M05                           102.1
4     2014M06                           101.8
5     2014M07                           100.4
6     2014M08                            95.7
7     2014M09                           102.0
8     2014M10                            97.8
9     2014M11                            98.3
10    2014M12                            98.4
11    2015M01                            98.8
12    2015M02                            97.5
13    2015M03                           100.7
14    2015M04                            97.2
15    2015M05                            99.1
16    2015M06                            98.0
17    2015M07                            96.4
18    2015M08                            99.8
19    2015M09                            98.2
20    2015M10                            98.9
21    2015M11                            96.2
22    2015M12                            98.6
23    2016M01                            97.5

熊猫 - 读取CSV文件两行，qoutes

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