In [4]:

    

s = set([1,2,3,4])
t = set([1,2,3,4])


    

In [7]:

    

t==s


    

    
Out[7]:





True

In [8]:

    

import pandas as pd


    

In [22]:

    

s = pd.Series(['1,3,3,2,4,5,6'])
len(s[0]),s,s[0][3]


    

    
Out[22]:





(13, 0    1,3,3,2,4,5,6
 dtype: object, ',')

In [26]:

    

[int(x) for x in s[0].split(',')]


    

    
Out[26]:





[1, 3, 3, 2, 4, 5, 6]

In [12]:

    

s


    

    
Out[12]:





0    1,3,3,2,4,5,6
dtype: object

In [19]:

    

s[0][2]


    

    
Out[19]:





'3'

In [62]:

    

text = '1,3,3,2,4,5,6'
s = pd.Series(text.split(','))
s.astype('int64')


    

    
Out[62]:





0    1
1    3
2    3
3    2
4    4
5    5
6    6
dtype: int64

In [68]:

    

x = s.str.cat(sep=',')
x


    

    
Out[68]:





'1,3,3,2,4,5,6'

In [70]:

    

type(x),len(x)


    

    
Out[70]:





(str, 13)

In [71]:

    

print(x)


    

    




1,3,3,2,4,5,6

In [34]:

    

type(df)


    

    
Out[34]:





pandas.core.frame.DataFrame

In [42]:

    

df.columns


    

    
Out[42]:





Index(['1', '2', '3', '4', '5'], dtype='object')

In [ ]: