many pandas dataframe to in one readeable file - python-3.x

Question

a=np.array([[1,1,1,1],[2,2,2,2],[3,3,3,3]])
df=pandas.DataFrame(a)
df.to_html('table.html')
I am trying to make pandas.DataFrame to html.
The data are from csv.file, and i split it to several table.
i want make table are in one file one by one.(it's not linked together)
open(filename, mode):
it likes file open with mode 'a',no overwrite original file.
Sample output table like this.
How can i do that or are there another more readable way ?

Answer 1

You can proceed as follows:
put all your dataframes in a list
iterate through them and convert each one to HTML
concatenate all the HTML outputs to one single file
In terms of code, here's how you can do that:
a=np.array([[1,1,1,1],[2,2,2,2],[3,3,3,3]])
b=np.array([[1,4,5,1],[12,2,32,2],[3,32,30,3]])
df_a = pd.DataFrame(a)
df_b = pd.DataFrame(b)
list_df = [df_a, df_b]
output = ""
for index, df in enumerate(list_df):
output += df.to_html() + '<br>'
with open('output.html', 'w') as f:
f.writelines(output)
Here's how the ouput looks like:
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>0</th>
<th>1</th>
<th>2</th>
<th>3</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>3</td>
<td>3</td>
<td>3</td>
</tr>
</tbody>
</table><br><table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>0</th>
<th>1</th>
<th>2</th>
<th>3</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>4</td>
<td>5</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>12</td>
<td>2</td>
<td>32</td>
<td>2</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>32</td>
<td>30</td>
<td>3</td>
</tr>
</tbody>
</table><br>