Python的CSV创建新的HTML表列

Question

您好我有一个CSV文件中的

Col1 Col2 Col3 Col4 col5 
AA BA  CA DA EA 
AB BB  CB DB EB 
AC BC  CC DC EC 
AD BD  CD DD ED 

我如何避开创建一个新的CSV文件与新的列COLTAble 新的CSV会在形式格式。 Col1中col2的Coltable 凡coltable使用COL3，COL4，并COL5和采取的

<table border="1" cellpadding="0" cellspacing="0"> 
<tbody> 
    <tr> 
     <td rowspan="2" style="width:50%;"> 
     COL3 
     </td> 
     <td style="width:50%;"> 
     COL4 
     </td> 
    </tr> 
    <tr> 
     <td style="width:50%;"> 
     COL5 
     </td> 
    </tr> 
</tbody> 

Answer 1

形式我不知道我完全理解你的问题。你的最终csv每行都有不同的html表格字符串吗？

尽管如此，熊猫对于阅读和编写这样的文件非常有用。

>>> import pandas as pd 
>>> df = pd.read_csv('temp.csv') 
>>> print df 
    Col1 Col2 Col3 Col4 col5 
0 AA BA CA DA EA 
1 AB BB CB DB EB 
2 AC BC CC DC EC 
3 AD BD CD DD ED 



>>> df['Coltable'] = df.apply(lambda row: row[2:].to_frame().to_html(), axis=1) 
>>> df_new = df.iloc[:, [0, 1, -1]] 
>>> print df_new 
Col1 Col2           Coltable 
0 AA BA <table border="1" class="dataframe">\n <thead... 
1 AB BB <table border="1" class="dataframe">\n <thead... 
2 AC BC <table border="1" class="dataframe">\n <thead... 
3 AD BD <table border="1" class="dataframe">\n <thead... 
    df_new.to_csv('temp_new.csv', index=False) 


>>> df_new.to_csv('temp_new.csv', index=False) 

现在temp_new.csv看起来像

Col1,Col2,Coltable 
AA,BA,"<table border=""1"" class=""dataframe""> 
    <thead> 
    <tr style=""text-align: right;""> 
     <th></th> 
     <th>0</th> 
    </tr> 
    </thead> 
    <tbody> 
    <tr> 
     <th>Col3</th> 
     <td>CA</td> 
    </tr> 
    <tr> 
     <th>Col4</th> 
     <td>DA</td> 
    </tr> 
    <tr> 
     <th>col5</th> 
     <td>EA</td> 
    </tr> 
    </tbody> 
</table>" 
AB,BB,"<table border=""1"" class=""dataframe""> 
    <thead> 
    <tr style=""text-align: right;""> 
     <th></th> 
     <th>1</th> 
    </tr> 
    </thead> 
    <tbody> 
    <tr> 
     <th>Col3</th> 
     <td>CB</td> 
    </tr> 
    <tr> 
     <th>Col4</th> 
     <td>DB</td> 
    </tr> 
    <tr> 
     <th>col5</th> 
     <td>EB</td> 
    </tr> 
    </tbody> 
</table>" 
AC,BC,"<table border=""1"" class=""dataframe""> 
    <thead> 
    <tr style=""text-align: right;""> 
     <th></th> 
     <th>2</th> 
    </tr> 
    </thead> 
    <tbody> 
    <tr> 
     <th>Col3</th> 
     <td>CC</td> 
    </tr> 
    <tr> 
     <th>Col4</th> 
     <td>DC</td> 
    </tr> 
    <tr> 
     <th>col5</th> 
     <td>EC</td> 
    </tr> 
    </tbody> 
</table>" 
AD,BD,"<table border=""1"" class=""dataframe""> 
    <thead> 
    <tr style=""text-align: right;""> 
     <th></th> 
     <th>3</th> 
    </tr> 
    </thead> 
    <tbody> 
    <tr> 
     <th>Col3</th> 
     <td>CD</td> 
    </tr> 
    <tr> 
     <th>Col4</th> 
     <td>DD</td> 
    </tr> 
    <tr> 
     <th>col5</th> 
     <td>ED</td> 
    </tr> 
    </tbody> 
</table>"