python - Selecting vlaues from a dataframe in pandas -

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given dataframe of format

a b c d   .......  ........

i select rows value in column b greater 0.6*the last value in column.for eg,

input:

a b c  1 0 5  2 3 4  3 6 6  4 8 1  5 9 3

output:

a b c  3 6 6  4 8 1  5 9 3

i doing following,

x = df.loc[df.tail(1).index,'b']

which return series object corresponding index , value of coulmn b of last row of dataframe , then,

new_df = df.[df.b > x]

but getting error,

valueerror: series lengths must match compare

how should perform query?

you need 1st take last value of column b using tail , multiply 0.6.

 df[df['b'] > df['b'].tail(1).values[0] * 0.6]

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