In [14]:

    

import time
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline


    

In [4]:

    

"test{}".format("AA")


    

    
Out[4]:





'testAA'

In [5]:

    

365/7.0*5


    

    
Out[5]:





260.7142857142857

In [7]:

    

dates = pd.date_range('2010-01-22',"2010-01-26")


    

In [8]:

    

dates[0]


    

    
Out[8]:





Timestamp('2010-01-22 00:00:00', offset='D')

In [9]:

    

df1 = pd.DataFrame(index=dates)


    

In [10]:

    

pd.read_csv("",index_col=["Date"parse_dates=True,usecols=["Date","Adj Close"])
df1.rename(),


    

    
Out[10]:






  

    

      

    
  
  

    

      
2010-01-22
    
    

      
2010-01-23
    
    

      
2010-01-24
    
    

      
2010-01-25
    
    

      
2010-01-26
    
  

In [19]:

    

df1.fillna(0)


    

    
Out[19]:






  

    

      

    
  
  

    

      
2010-01-22
    
    

      
2010-01-23
    
    

      
2010-01-24
    
    

      
2010-01-25
    
    

      
2010-01-26
    
  

In [18]:

    

pd.concat([1,2,2,2,3],[1,2,3,4,5])


    

    




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-18-628a6a92ec7b> in <module>()
----> 1 pd.concat([1,2,2,2,3],[1,2,3,4,5])

/home/h6/anaconda/lib/python2.7/site-packages/pandas/tools/merge.pyc in concat(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, copy)
    752                        keys=keys, levels=levels, names=names,
    753                        verify_integrity=verify_integrity,
--> 754                        copy=copy)
    755     return op.get_result()
    756 

/home/h6/anaconda/lib/python2.7/site-packages/pandas/tools/merge.pyc in __init__(self, objs, axis, join, join_axes, keys, levels, names, ignore_index, verify_integrity, copy)
    803         for obj in objs:
    804             if not isinstance(obj, NDFrame):
--> 805                 raise TypeError("cannot concatenate a non-NDFrame object")
    806 
    807             # consolidate

TypeError: cannot concatenate a non-NDFrame object

In [25]:

    

df1 = pd.DataFrame(np.random.randn(4,5))


    

In [26]:

    

df1


    

    
Out[26]:






  

    

      

      
0
      
1
      
2
      
3
      
4
    
  
  

    

      
0
      
-0.812504
      
0.850178
      
0.215251
      
0.030075
      
1.053832
    
    

      
1
      
0.435357
      
0.730535
      
0.572815
      
0.585009
      
-1.183603
    
    

      
2
      
0.127696
      
-0.828830
      
-0.186443
      
-0.316630
      
0.466003
    
    

      
3
      
-1.972530
      
-0.917138
      
-0.345931
      
0.691864
      
0.823518
    
  

In [39]:

    

df1.ix[:-1]


    

    
Out[39]:






  

    

      

      
0
      
1
      
2
      
3
      
4
    
  
  

  

In [42]:

    

df1.values[1,1] = 1


    

In [43]:

    

df1


    

    
Out[43]:






  

    

      

      
0
      
1
      
2
      
3
      
4
    
  
  

    

      
0
      
-0.812504
      
0.850178
      
0.215251
      
0.030075
      
1.053832
    
    

      
1
      
0.435357
      
1.000000
      
0.572815
      
0.585009
      
-1.183603
    
    

      
2
      
0.127696
      
-0.828830
      
-0.186443
      
-0.316630
      
0.466003
    
    

      
3
      
-1.972530
      
-0.917138
      
-0.345931
      
0.691864
      
0.823518
    
  

In [45]:

    

np.sqrt(252)*(0.001-0.0002)/0.001


    

    
Out[45]:





12.699606293110037

In [ ]:

    

np.sqrt()