[英]split dataframe column header and values into multiple columns
I've uploaded my csv
file on Azure, but for some reason it became like this 我已经在Azure上上传了csv
文件,但是由于某种原因,它变成了这样
nominal;data;curs;cdx Column 1
0 1;21.06.2000;28 2300;������ ���
1 1;22.06.2000;28 2200;������ ���
2 1;23.06.2000;28 1900;������ ���
3 1;24.06.2000;28 1700;������ ���
4 1;27.06.2000;28 1300;������ ���
5 1;28.06.2000;28 1100;������ ���
Basically instead of four columns nominal
, data
, curs
, cdx
I got two columns with one having all the values and the last one (it is empty or something because the last column has encoding issue) - no idea what. 基本上没有四列nominal
, data
, curs
, cdx
而是有两列,其中一列具有所有值,最后一列(它是空的或因为上一列有编码问题,所以它是空的)-不知道是什么。
I have deleted the column Column 1
like this 我已经删除了列Column 1
这样的列
import pandas as pd
def azureml_main(dataframe1 = None, dataframe2 = None):
dataframe1.drop(['Column 1'], axis = 1, inplace = True)
print('Input pandas.DataFrame #1:\r\n\r\n{0}'.format(dataframe1))
return dataframe1,
How to split the first column into multiple now? 现在如何将第一列拆分为多个? To get 4 separate columns 获得4个单独的列
I am using pandas 0.18 我正在使用熊猫0.18
You need to split the column with: 您需要使用以下方法拆分列:
dataframe1['nominal;data;curs;cdx'].str.split(';',expand=True)
Then change the headers with: 然后使用以下命令更改标题:
dataframe1.columns = 'nominal;data;curs;cdx'.split(';')
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