python-dataframe
frame=DataFrame(np.arange(9).reshape((3,3)),index=['a','c','d'],
columns=['Ohio','Texas','California'])
#print(frame)
''' Ohio Texas California
a 0 1 2
c 3 4 5
d 6 7 8'''
frame2=frame.reindex(['a','b','c','d'])
#print(frame2)
''' Ohio Texas California
a 0.0 1.0 2.0
b NaN NaN NaN
c 3.0 4.0 5.0
d 6.0 7.0 8.0'''
states=['Texas','Utah','California']
frame22=frame.reindex(columns=states)
# print(frame22.reindex(index=['a','b','c','d'],method='ffill',columns=states))
#print(frame22.ix[['a','b','c','d'],states])
obj=Series(np.arange(5),index=['a','b','c','d','e'])
new_obj=obj.drop('c')
'''print(new_obj)
obj1=obj.drop(['c','d'])
print(obj1)
data=DataFrame(np.arange(16).reshape((4,4)),index=['Ohio','Colorado','Utah','New York'],
columns=['one','two','three','four'])
#print(data.drop(['Colorado','Ohio']))
print(data.drop('two',axis=1))'''
'''obj=Series(np.arange(4),index=['a','b','c','d'])
print(obj['b'])
print(obj[1])
print(obj[2:4])
print(obj['b':'c'])'''
data=DataFrame(np.arange(16).reshape((4,4)),index=['Ohio','Colorado','Utah','New York'],
columns=['one','two','three','four'])
print(data)
''' one two three four
Ohio 0 1 2 3
Colorado 4 5 6 7
Utah 8 9 10 11
New York 12 13 14 15'''
'''print(data['two'])
print(data<5)
data[data<5]=5
print(data)'''
'''print(data.ix['Colorado',['two','three']])
print(data.ix[['Colorado','Utah'],[3,0,1]])'''
#print(data.ix[2])
'''one 8
two 9
three 10
four 11
Name: Utah, dtype: int32'''
def1=DataFrame(np.arange(9).reshape((3,3)),columns=list('bdc'),index=['Ohio','Texas','Colorado'])
def2=DataFrame(np.arange(12).reshape((4,3)),columns=list('bde'),index=['Utah','Ohio','Texas','Oregon'])
#print(def1)
''' b d c
Ohio 0 1 2
Texas 3 4 5
Colorado 6 7 8'''
#print(def2)
''' b d e
Utah 0 1 2
Ohio 3 4 5
Texas 6 7 8
Oregon 9 10 11'''