Merging two dataframes with same column names but different number of columns in pandas
<p>I have two pandas dataframes</p>

<pre><code>df1 = DataFrame([[0,123,321],[0,1543,432]], columns=['A', 'B','C'])
df2 = DataFrame([[1,124],[1,1544]], columns=['A', 'C'])
</code></pre>

<p>I want to merge these so that the new dataframe would look like below</p>

<pre><code>A     |    B      |   C
0         123        321
0         1543       432
1         null       124
1         null       1544
</code></pre>

<p>I have tried using append and concat but nothing seems to work. Any help would be much appreciated.</p>