for index in data['w'] .index:
time_dis = data['w'] .get(index)

> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
...     columns=['A', 'B', 'C'])
> df
 A B C
0 0 2 3
1 0 4 1
2 10 20 30

> df.at[4, 'B']
2

> df.iloc[5].at['B']
4

> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
...     columns=['A', 'B', 'C'])
> df
 A B C
0 0 2 3
1 0 4 1
2 10 20 30

> df.iat[1, 2]
1

> df.iloc[0].iat[1]
2

> df = pd.DataFrame([[1, 2], [4, 5], [7, 8]],
...  index=['cobra', 'viper', 'sidewinder'],
...  columns=['max_speed', 'shield'])
> df
   max_speed shield
cobra    1  2
viper    4  5
sidewinder   7  8

> df.loc['cobra', 'shield']
2

> df.loc['viper']
max_speed 4
shield  5
Name: viper, dtype: int64

> df.loc[['viper', 'sidewinder']]
   max_speed shield
viper    4  5
sidewinder   7  8
 
pandas.DataFrame.iloc
> mydict = [{'a': 1, 'b': 2, 'c': 3, 'd': 4},
...   {'a': 100, 'b': 200, 'c': 300, 'd': 400},
...   {'a': 1000, 'b': 2000, 'c': 3000, 'd': 4000 }]
> df = pd.DataFrame(mydict)
> df
  a  b  c  d
0  1  2  3  4
1 100 200 300 400
2 1000 2000 3000 4000

> df.iloc[0, 1]
2

> type(df.iloc[0])
<class 'pandas.core.series.Series'>
> df.iloc[0]
a 1
b 2
c 3
d 4
Name: 0, dtype: int64