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Apologies for this basic question. I am new to Python and having some problem with my codes. I used pandas to load in a .csv file and having problem accessing particular elements. 

 import pandas as pd
 dateYTM = pd.read_csv('Date.csv')
 print(dateYTM)
 ##  Result 
 #       Date
 # 0  20030131
 # 1  20030228
 # 2  20030331
 # 3  20030430
 # 4  20030530
 #
 # Process finished with exit code 0

How can I access say the first date? I tried many difference ways but wasn't able to achieve what I want? Many thanks.

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  • 1
    you can just do dateYTM.iloc[0] Commented Jan 27, 2016 at 9:12

1 Answer 1

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You can use read_csv with parameter parse_dates loc, see Selection By Label:

import pandas as pd
import numpy as np
import io

temp=u"""Date,no
20030131,1
20030228,3
20030331,5
20030430,6
20030530,3
"""
#after testing replace io.StringIO(temp) to filename
dateYTM  = pd.read_csv(io.StringIO(temp), parse_dates=['Date'])
print dateYTM 
        Date  no
0 2003-01-31   1
1 2003-02-28   3
2 2003-03-31   5
3 2003-04-30   6
4 2003-05-30   3

#df.loc[index, column]

print dateYTM.loc[0, 'Date']
2003-01-31 00:00:00

print dateYTM.loc[0, 'no']
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But if you need only one value, better is use at see Fast scalar value getting and setting:

#df.at[index, column]

print dateYTM.at[0, 'Date']
2003-01-31 00:00:00

print dateYTM.at[0, 'no']
1
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what if they are just some numeric? Maybe I still haven't had right concept in python yet. I don't quite know how to access the elements. I tried DateYTM[0], DateYTM[[0]], DateYTM[0,0] etc... and they all don't work

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