多索引数据框中的Python Pandas引用值

Question

I have a multi-index dataframe with 1 column of data as follows:

                                  Weight
Ticker       date
ABC    2017-03-31 00:00:00        .00292
  ...       ...                       ...

I am referencing it as follows:

df.loc[(ticker,date),'Weight']

Instead of getting a value returned I'm getting this:

Ticker     date
ABC       2017-03-31     0.00292

instead of this:

0.00292

When I type info() it tells me I have a MultiIndex Dataframe with 1 data column.

I have data/code like this all throughout a script - but with this particular data (which looks clean) and this syntax it isn't working.

Strangely, when I do this:

df.loc[(ticker,date),'Weight'][0]

it returns

0.00292

But when I try to iterate through the df it seems to revert to

Ticker     date
ABC       2017-03-31     0.00292

And then I can't perform other operations.

Any idea what's going on?

Answer 1

Absolutely crazy. Finally resolved by just using [0] at the end as noted above. All available information points to the data in a regular dataframe that is correctly changed to a multi indexed dataframe. No data irregularities either. Very weird