When I am programming on colab, I keep running into this issue:
Here is my df:
0 1
0 [2.7436598593417045e-05, 3.731542193080655e-05]
1 [8.279973504084787e-05, 2.145002145002145e-05]
2 [0.00022534319714215346, 0.0002031172259231674]
3 [3.239841667031943e-05, 2.7771297808289177e-05]
4 [0.00011311134356928321, 9.428422928088026e-05]
I want to get the data from df[1] into a list of lists so I can feed it into my model. To do so, I run:
df[1].to_list()
and i get:
['[2.7436598593417045e-05, 3.731542193080655e-05]',
'[8.279973504084787e-05, 2.145002145002145e-05]',
'[0.00022534319714215346, 0.00020311722592316746]',
'[3.239841667031943e-05, 2.7771297808289177e-05]',
'[0.00011311134356928321, 9.428422928088026e-05]']
which is a list of strings which I cannot use to feed into the model. I use this code all the time locally and it works fine, but on colab I get this result. Any ideas? The result I want is:
[[2.7436598593417045e-05, 3.731542193080655e-05],
[8.279973504084787e-05, 2.145002145002145e-05],
[0.00022534319714215346, 0.00020311722592316746],
[3.239841667031943e-05, 2.7771297808289177e-05],
[0.00011311134356928321, 9.428422928088026e-05]]
Try ast.literal_eval
from ast import literal_eval
df[1].map(literal_eval).to_list()
[[2.7436598593417045e-05, 3.731542193080655e-05],
[8.279973504084787e-05, 2.145002145002145e-05],
[0.00022534319714215346, 0.00020311722592316746],
[3.239841667031943e-05, 2.7771297808289177e-05],
[0.00011311134356928321, 9.428422928088026e-05]]