比较字典键值和多值索引

Question

I want to compare the following dictionary key:

{('F123', 1): 'R'}

To the index of the following dataframe ('F123', 1):

Connector Pin   Connector   Pin          Adj.         Color        
 F123      1        F123    1         [2, 6, 7]        NaN

If the dictionary key is equal to the dataframe index ('F123', 1) I want copy the dictionary value ('R') into the color column associated with the matching index. Both the dictionary and dataframe have a number of rows but for explanations sake I included only one of each. Speed doesn't matter as the data set is not big enough to matter.

if(df.index == dict.key()):
    df['Color'] = dict.value()

I am struggling syntactically on how to approach this problem.

update: I attempted this below (which I know is wrong). Still trying to nail down how to test all dict. keys one by one without hardcoding it in.

s = df.iterrows(pd.Series(dict.keys()))
df['Color'] = s

Answer 1

Make a Series from the dictionary and then assign the Color column to that:

In [11]: df
Out[11]:
       Connector  Pin Connector.1 Pin.1 Adj.  Color
F123 1      F123    1         [2,    6,   7]    NaN

In [12]: s = pd.Series({('F123', 1): 'R'})

In [13]: df["Color"] = s

In [14]: df
Out[14]:
       Connector  Pin Connector.1 Pin.1 Adj. Color
F123 1      F123    1         [2,    6,   7]     R