pandas: Divide DataFrame last row by first row

Question

This questions is similar to Python: Pandas Divide DataFrame by first row

I have a DataFrame which looks like this:

            1125400  5430095  1095751
2013-04-02    98.91      NaN  5626.79
2013-04-03    99.29      NaN  5727.53
2013-04-04    99.79      NaN  5643.75
2013-04-07   100.55      NaN  5630.78
2013-04-08   100.65      NaN  5633.77

I would like to divide the values of the last row by the values of the first row in order to obtain the percentage difference over time.

Answer 1

一个更清晰的方法是使用iloc ：

df.iloc[0] / df.iloc[-1]

Answer 2

只需取第一行和最后一行的值，然后将它们df.T[df.index[0]] / df.T[df.index[-1]]即可，如下所示： df.T[df.index[0]] / df.T[df.index[-1]]