In [1]:

    

import os as os


    

In [2]:

    

os.getcwd()


    

    
Out[2]:





'C:\\Users\\Dell'

In [3]:

    

os.chdir('C:\\Users\\Dell\\Downloads\\mortDefault')


    

In [4]:

    

os.listdir()


    

    
Out[4]:





['mortDefault2000.csv',
 'mortDefault2001.csv',
 'mortDefault2002.csv',
 'mortDefault2003.csv',
 'mortDefault2004.csv',
 'mortDefault2005.csv',
 'mortDefault2006.csv',
 'mortDefault2007.csv',
 'mortDefault2008.csv',
 'mortDefault2009.csv']

In [5]:

    

import pandas as pd


    

In [6]:

    

filelist=os.listdir()


    

In [7]:

    

mortdefault = [pd.read_csv(i) for i in filelist]


    

In [11]:

    

type(mortdefault)


    

    
Out[11]:





list

In [27]:

    

mort11=pd.concat(mortdefault,ignore_index=True)


    

In [28]:

    

mort11.info()


    

    




<class 'pandas.core.frame.DataFrame'>
RangeIndex: 10000000 entries, 0 to 9999999
Data columns (total 6 columns):
creditScore    int64
houseAge       int64
yearsEmploy    int64
ccDebt         int64
year           int64
default        int64
dtypes: int64(6)
memory usage: 457.8 MB

In [ ]: