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[Solved] TypeError: ‘bool’ object is not subscriptable Python 3

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error TypeError: ‘bool’ object is not subscriptable Python 3 in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How TypeError: ‘bool’ object is not subscriptable Python 3 Error Occurs?

Today I get the following error TypeError: ‘bool’ object is not subscriptable Python 3 in python.

How To Solve TypeError: ‘bool’ object is not subscriptable Python 3 Error ?

  1. How To Solve TypeError: 'bool' object is not subscriptable Python 3 Error ?

    To Solve TypeError: 'bool' object is not subscriptable Python 3 Error Yeah, you can't do False[1:6] – False is a boolean, meaning it can only be one of two things (False or True)

  2. TypeError: 'bool' object is not subscriptable Python 3

    To Solve TypeError: 'bool' object is not subscriptable Python 3 Error Yeah, you can't do False[1:6] – False is a boolean, meaning it can only be one of two things (False or True)

Solution 1

Instead of

    top_ten = pd.DataFrame(similarity_matrix.ix[i,]).sort([i], 
ascending=False[1:6]).index.values

use

    top_ten = pd.DataFrame(similarity_matrix.ix[i,]).sort([i], 
ascending=False), [1:6]).index.values

(i. e. insert ), just after the False.)

False is the value of the sort() method parameter with meaning “not in ascending order”, i. e. requiring the descending one. So you need to terminate the sort() method parameter list with ) and then delimit the 1st parameter of the DataFrame constructor from the 2nd one with , .

[1:6] is the second parameter of the DataFrame constructor (the index to use for resulting frame)

Solution 2

Yeah, you can’t do False[1:6] – False is a boolean, meaning it can only be one of two things (False or True)

Just change it to False and your problem will be solved.

the [1:6] construct is for working with lists. So if you had, for example:

theList = [ "a","b","c","d","e","f","g","h","i","j","k","l" ] 

print theList      # (prints the whole list)
print theList[1]   # "b"    
print theList[1:6] # ['b', 'c', 'd', 'e', 'f']

In python, this is called “slicing”, and can be quite useful.

You can also do things like:

print theList[6:] # everything in the list after "f" 
print theList[:6] # everything in the list before "f", but including f

I encourage you to play with this using Jupyter Notebook – and of course, read the documentation

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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