Python: How can I get the previous 5 values in a Pandas dataframe after skipping the very last one? -


i have pandas dataframe, df follows:

      0       1    2 0  k86e  201409  180 1  k86e  201410  154 2  k86e  201411  157 3  k86e  201412  153 4  k86e  201501  223 5  k86e  201502  166 6  k86e  201503  163 7  k86e  201504  169 8  k86e  201505  157

i know in order last 5 values of column 2, have do:

df[2].tail()

this return values 157, 169, 163, 166, 233.

however, skip last value = 157 , last 5 values before 157 e.g. 169, 163, 166, 233, 153.

how can this?

thanks in advance!

use negative indices , pass these iloc slice rows of interest:

in [5]:  df.iloc[-6:-1] out[5]:       0       1    2 3  k86e  201412  153 4  k86e  201501  223 5  k86e  201502  166 6  k86e  201503  163 7  k86e  201504  169

you can index col of interest using above:

in [6]:  df.iloc[-6:-1]['2'] out[6]: 3    153 4    223 5    166 6    163 7    169 name: 2, dtype: int64

the following work uses ordinal position of column

df.iloc[-6:-1,2]

the syntax iloc means iloc[start:end] in case can pass negative index indicate want start 6th row end , end @ last row not include it, known open, closed interval.

there related so question slicing notation.

also python docs


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