s1=Series([7.3,-2.5,3.4,1.5],index=['a','c','d','e'])
s2=Series([-2.1,3.6,-1.5,4,3.1],index=['a','c','e','f','g'])
s1
s2
s1+s
s1+s2
df1=DataFrame(np.arange(9.).reshape((3,3)),columns=list('bcd'),index=['Ohio','Texas','Colorado'])
df2=DataFrame(np.arange(12.).reshape(4,3),columns=list('bde'),index=['Utah'
 
,'Ohio','Texas','Oregon'])
df1
df2
df1+df2
df1=DataFrame(np.arange(12.).reshape((3,4)),columns=list('abcd'))
df1
df2=DataFrame(np.arange(20.).reshape((4,5)),columns=list('abcde'))
df2
df1+df2
df1.add(df2,fill_value=0)
df1.reindex(columns=df2.columns,fill_value=0)
import numpy as np
arr=np.arange(12.).reshape((3
 
,4))
arr
arr[0]
arr-arr[0]
frame=DataFrame(np.arange(12.).reshape((4,3)),columns=list('bde'),index=['Utah','Ohio','Texas','Oregon'])
frame
series=frame.ix[0]
serries
series
frame-series
series2=Series(range(3),index=['b','e','f'])
series2
series
frame
series2
frame+series2
series3=frame['d']
series3
frame
frame.sub(series3,axis=0
 
)
frame=DataFrame(np.random.randn(4,3),columns=list('bde'),index=['Utah','Ohio','Texas','Oregon'])
frame
np.abs(frame)
f= lambda x:x.max()-x.min()
frame.apply(f)
frame.apply(f,axis=1)
def f(x):
    return Series([x.min(),x.max()],index=['min','max'])
frame
frame.apply(f)
format=lambda x:'%.2f'%x
frame.apply(format)
frame.applymap(format)
frame['e'].map(format)
obj=Series(range(4),index=['d','a','b','c'])
obj
obj.sort_index()
frame=DataFrame(np.arange(8).reshape((2,4)),index=['three','one'],columns=['d','a','b','c'])
frame
frame.sort_index()
frame.sort_index(axis=1)
frame.sort_index(axis=1,ascending=False)
obj=Series([4,7,-3,2])
obj
obj.order()
obj=Series([4,np.nan,7,np.nan,-3,2])
obj
obj.order()
frame=DataFrame({'b':[4,7,-3,2],'a':[0,1,0,1]})
frame
frame.sort_index(by='b')
frame.sort_index(by=['a','b'])
obj=Series([7,-5,7,4,2,0,4])
obj
obj.rank()
obj.rank()
obj.rank(method='first')
obj.rank(ascending=False,method='max')
frame=DataFrame{'b':[4.3,7,-3,2],'a':[0,1,0,1],'c':[-2,5,8,-2.5]}
frame=DataFrame({'b':[4.3,7,-3,2],'a':[0,1,0,1],'c':[-2,5,8,-2.5]})
frame
frame.rank(axis=1)
obj=Sereis(range(5),index=['a','a','b','b','c'])
obj=Series(range(5),index=['a','a','b','b','c'])
obj
obj.index.is_unique
obj['a']
obj['c']
df=DataFrame(np.random.randn(4,3),index=['a','a','b','b'])
df
df.ix['b']