python - Get values from a DataFrame in pandas -


i have dataframe 1 row in pandas.

the row has index/name date.

i want retrieve date , value in 4th column.

i can value of 4th column in single row using

first_row = data.iloc[0] value = row[3]

but how can corresponding date in row?

i have tried first_row.index wont work. if use data.index datetimeindex 1 element wouldn't better code if retrieve index directly row?

you have 2 choices, if performing integer indexing df, using same integer index index return value.

if have selected specific row can access index value using .name attribute.

example:

in [3]: import io import pandas pd     t="""date,value 2014/01/05,1515     2014/02/05,15 2014/05/05,1""" df=pd.read_csv(io.stringio(t), parse_dates=[0], index_col=[0])     df  out[3]:              value date              2014-01-05   1515 2014-02-05     15 2014-05-05      1  in [7]: df.index[1]  out[7]:     timestamp('2014-02-05 00:00:00')  in [16]: df.iloc[1].name  out[16]     timestamp('2014-02-05 00:00:00')

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