Where is the value when I do this in pandas Series

Question

I have the following code.

s2 = pd.Series([100,\"PYTHON\",\"Soochow\",\"Qiwsir\"],
               index=[\"mark\",\"title\",\"university\",\"name\"])

s2.m         


        

Answer 1

You are confusing attributes with series indices.

The syntax s2.xyz = 100 first looks for xyz in the series index and overwrites it if it exists.

If it does not exist, it adds a new attribute to the series.

How to add an attribute

if 'price' not in s2:
    s2.price = 100

You should not add attributes which conflict with indices; this is asking for trouble given the similar syntax permitted for access.

How to add an element to series

In order to add an element to the series with an index, use pd.Series.loc:

s2.loc['price'] = 100

How to tell the difference

Run s2.__dict__. You will find:

{'_data': SingleBlockManager
 Items: Index(['mark', 'title', 'university', 'name'], dtype='object')
 ObjectBlock: 4 dtype: object,
 '_index': Index(['mark', 'title', 'university', 'name'], dtype='object'),
 '_item_cache': {},
 '_name': None,
 '_subtyp': 'series',
 'is_copy': None,
 'price': '100'}

It is clear that price has been added as an attribute, not as an index.