title: Append dataframe to a specified existing column
body: <p>I'am writing a code that requires appending a dataframe to include the new data to a specific column</p>
  
  <p>Here is an extract of the code as below. </p>
  
  <p>Descriptive summary of the code:</p>
  
  <ol>
  <li>I have two variables (i and j) that I want to copy to a pandas dataframe.</li>
  <li>I started by creating an empty dataframe with column names (4 columns in total)</li>
  <li>Once the variables (i and j) are calculated in the for loop, i want to copy them to the dataframe into their respective columns(i_col and j_col, respectively)</li>
  <li><p>Iam getting an error in the hashtagged code line (df=df.append.....)</p>
  
  <p>import pandas as pd</p>
  
  <p>df=pd.DataFrame(columns=['i_column','j_column','type','Location',])</p>
  
  <p>for i in range (1,10):</p>
  
  <pre><code>i=3+i
  
  print (i)
  
  #df = df.append([i], column=['i_column'])
  </code></pre>
  
  <p>for j in range (5,12):
      j=j+5</p>
  
  <pre><code>print (j)
  
  #df = df.append([j],column=['j_column'])
  </code></pre>
  
  <p>print (df)</p></li>
  </ol>
  
  <p>Currently I'am getting this error:
  TypeError: append() got an unexpected keyword argument 'column'</p>
  
  <p>Instead i want to append the dataframe with i values in the i_column and j values in the j_column. Please advise the correct code line for it.</p>