Python的CSV創建新的HTML表列

Question

您好我有一個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 

我如何避開創建一個新的CSV文件與新的列COLTAble 新的CSV會在形式格式。 Col1中col2的Coltable 凡coltable使用COL3，COL4，並COL5和採取的

<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問題。你的最終csv每行都有不同的html表格字符串嗎？

儘管如此，熊貓對於閱讀和編寫這樣的文件非常有用。

>>> 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) 

現在temp_new.csv看起來像

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>"