Seprate List into two independent variables

Question

I have a list which has two attributes and I want to seperate it into two independent variables in single new dataframe, for example:

dataframe = (var1, var2)
var1 = client, say, management, take
var2 = NN, VBP, NN, VB

My list now:

print(Grammer[:10])
[('client', 'NN'), ('say', 'VBP'), ('management', 'NN'), ('take', 'VB'), ('decission', 'NN'), ('submitted', 'VBN')]

Possible duplicate of [Transpose/Unzip Function (inverse of zip)?](https://stackoverflow.com/questions/19339/transpose-unzip-function-inverse-of-zip) — Peter Wood, Oct 04 '18 at 06:42

Austin · Accepted Answer · 2018-10-04T07:02:14.520

1

Use of zip + unpacking:

lst = [('client', 'NN'), ('say', 'VBP'), ('management', 'NN'), ('take', 'VB'), ('decission', 'NN'), ('submitted', 'VBN')]

var1, var2 = zip(*lst)

print(var1)  # ('client', 'say', 'management', 'take', 'decission', 'submitted')                                                       
print(var2)  # ('NN', 'VBP', 'NN', 'VB', 'NN', 'VBN')

edited Oct 04 '18 at 07:02

answered Oct 04 '18 at 06:34

Austin

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Returning error as "ValueError: too many values to unpack (expected 2)" – Chetan Jawale Oct 04 '18 at 06:37
@ChetanJawale that's not because of the size of the list, it's because one of your tuples has more than 2 values. – Peter Wood Oct 04 '18 at 06:39
Do you have a list containing tuples of two elements? It seems not. – Austin Oct 04 '18 at 06:39
@Austin Yes, my list contains tuples of two elements ! = ('client', 'NN'), ('say', 'VBP'), ('management', 'NN') – Chetan Jawale Oct 04 '18 at 06:43
I mean some (not all) tuples have more than two elements. The error is thrown because it failed to unpack them. It expected two but found more. Because you didn't add details of that part, it's nearly impossible for us to guess you've a case like that. – Austin Oct 04 '18 at 06:45
It Worked..! ;) Thank You for your help..! – Chetan Jawale Oct 04 '18 at 06:51
@blhsing, okay, Thank you :) – Austin Oct 04 '18 at 07:01

Seprate List into two independent variables

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