#create DataFrame
import pandas as pd
import numpy as np
from pandas import DataFrame, Series
df = DataFrame(
    {'integer':[1,2,3,6,7,23,8,3],
     'float':[2,3.4,5,6,2,4.7,4,8],
     'string':['saya',None,'aku','cinta','kamu','a','b','jika']}
)

#show data in DataFrame
df

#Show data based on columns selected by index
df.ix[:,['string','float']]

#show data based columns selected
df[['string','float']]

#show data with condition
df[df['float']>4]

#rename columns in DataFrame
df2 = df.rename(columns={'string':'characters'})

#Show DataFrame after rename column
df2

#Drop NA value in DataFrame
df2.dropna()

#Show mean, median, and maximum column in Data Frame
mean = df2['float'].mean()
print "mean %f" % mean
median = df2['float'].median()
print "median %f" %median
max = df2['float'].max()
print "max %f" % max