Add item to pandas.Series?
Question: I want to add an integer to my `pandas.Series`  
Here is my code:

    
    
    import pandas as pd
    input = pd.Series([1,2,3,4,5])
    input.append(6)
    

When i run this, i get the following error:

    
    
    Traceback (most recent call last):
      File "<pyshell#9>", line 1, in <module>
        f.append(6)
      File "C:\Python33\lib\site-packages\pandas\core\series.py", line 2047, in append
        verify_integrity=verify_integrity)
      File "C:\Python33\lib\site-packages\pandas\tools\merge.py", line 878, in concat
        verify_integrity=verify_integrity)
      File "C:\Python33\lib\site-packages\pandas\tools\merge.py", line 954, in __init__
        self.new_axes = self._get_new_axes()
      File "C:\Python33\lib\site-packages\pandas\tools\merge.py", line 1146, in _get_new_axes
        concat_axis = self._get_concat_axis()
      File "C:\Python33\lib\site-packages\pandas\tools\merge.py", line 1163, in _get_concat_axis
        indexes = [x.index for x in self.objs]
      File "C:\Python33\lib\site-packages\pandas\tools\merge.py", line 1163, in <listcomp>
        indexes = [x.index for x in self.objs]
    AttributeError: 'int' object has no attribute 'index'
    

How can I fix that?


Answer: Convert appended item to `Series`:

    
    
    >>> ds = pd.Series([1,2,3,4,5]) 
    >>> ds.append(pd.Series([6]))
    0    1
    1    2
    2    3
    3    4
    4    5
    0    6
    dtype: int64
    

or use `DataFrame`:

    
    
    >>> df = pd.DataFrame(ds)
    >>> df.append([6], ignore_index=True)
       0
    0  1
    1  2
    2  3
    3  4
    4  5
    5  6
    

and last option if your index is without gaps,

    
    
    >>> ds.set_value(max(ds.index) + 1,  6)
    0    1
    1    2
    2    3
    3    4
    4    5
    5    6
    dtype: int64
    

And you can use numpy as a last resort:

    
    
    >>> import numpy as np
    >>> pd.Series(np.concatenate((ds.values, [6])))
    

