I have a dataframe like as shown below

```
td = {966: [('Feat1', -0.04),
  ('Feat2=True ', -0.02),
  ('Feat3 <= 20000.00', 0.01),
  ('Feat4=Power Supply', -0.01),
  ('Feat5=dada', -0.0)],
 879: [('Feat8=Rare', 0.02),
  ('Feat11=HV', -0.01),
  ('Feat21=Power Supply', -0.01),
  ('20000.00 < Feat3 <= 50000.00', 0.01),
  ('Feat5=dada', -0.01)]}

```

I would like to do the below

a) Split the tuple within dict based on `,` comma seperator

b) store the numeric part in `value` column of dataframe and text part in `feature` column of dataframe

c) repeat the key values for all values in dataframe (and store it in `key` column)

I tried the below but it is not efficient/elegant and doesn't scale for big data of million rows

```
feature=[]
value=[]
key=[]
for k, v in td.items():
    for x in v:
        key.append(k)
        f, v  = x
        feature.append(f)
        value.append(v)
data_tuples = list(zip(key,feature,value))
pd.DataFrame(data_tuples, columns=['key','feature','value'])

```

I expect my output to be like as shown below

[![enter image description here](https://i.stack.imgur.com/IAuT0.png)](https://i.stack.imgur.com/IAuT0.png)