In [2]:

    

import pandas as pd


    

In [3]:

    

df = pd.DataFrame([1,2,3,4,5,6])


    

In [4]:

    

print(df)


    

    




   0
0  1
1  2
2  3
3  4
4  5
5  6

In [5]:

    

print(len(df))


    

    




6

In [15]:

    

df1 = pd.DataFrame([[1,2,3],[4,5,6]])


    

In [16]:

    

print(df1)


    

    




   0  1  2
0  1  2  3
1  4  5  6

In [18]:

    

df1[[0,1]]


    

    
Out[18]:







  

    

      

      
0
      
1
    
  
  

    

      
0
      
1
      
2
    
    

      
1
      
4
      
5
    
  

In [19]:

    

df1[[0:1]]


    

    




  File "<ipython-input-19-a5d67fa2f067>", line 1
    df1[[0:1]]
          ^
SyntaxError: invalid syntax

In [20]:

    

log


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-20-9a115ebc25a0> in <module>()
----> 1 log

NameError: name 'log' is not defined

In [21]:

    

import math


    

In [28]:

    

def sigmoid(x):
    return 1/(1 + math.exp(-x))


    

In [23]:

    

sigmoid(1)


    

    
Out[23]:





0.2689414213699951

In [32]:

    

xw = -0.42*79 - 0.47*75


    

In [33]:

    

xw


    

    
Out[33]:





-68.43

In [34]:

    

-math.log(sigmoid(xw))


    

    
Out[34]:





68.43

In [35]:

    

sigmoid(xw)


    

    
Out[35]:





1.9108588292549177e-30

In [38]:

    

math.e


    

    
Out[38]:





2.718281828459045

In [43]:

    

-math.log(1/(1+math.exp(68)),math.e)-(1-1)*math.log(1-(1/(1+math.exp(68))))


    

    
Out[43]:





68.0

In [ ]: