Why is .astype('bool') converting all values to True?

This video explains
Why is .astype('bool') converting all values to True?

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Music by Eric Matyas
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Track title: Puzzle Game 5

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Chapters
00:00 Question
00:45 Accepted answer (Score 11)
01:13 Answer 2 (Score 0)
01:29 Thank you

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Full question
https://stackoverflow.com/questions/5208...

Accepted answer links:
[strings values are converted to Trues]: https://stackoverflow.com/a/715455

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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...

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Tags
#python #pandas

#avk47

ACCEPTED ANSWER

Score 13

There is problem strings values are converted to Trues.

Solution:

test = ['False','False','True']
test = pd.DataFrame(test)
test = test[0].map({'False':False, 'True':True})
print (test)
0    False
1    False
2     True
Name: 0, dtype: bool

Or:

import ast

test = test[0].map(ast.literal_eval)
print (test)
0    False
1    False
2     True
Name: 0, dtype: bool

ANSWER 2

Score 0

one clear approach do this will be,

test=test[0]=='True'

O/P:

0    False
1    False
2     True
Name: 0, dtype: bool
bool