将某些列除以 pandas 中的另一列 [英] Divide certain columns by another column in pandas
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问题描述
想知道是否有更有效的方法将多个列划分为一个特定的列.例如说我有:
Was wondering if there is a more efficient way of dividing multiple columns a certain column. For example say I have:
prev open close volume
20.77 20.87 19.87 962816
19.87 19.89 19.56 668076
19.56 19.96 20.1 578987
20.1 20.4 20.53 418597
我想得到:
prev open close volume
20.77 1.0048 0.9567 962816
19.87 1.0010 0.9844 668076
19.56 1.0204 1.0276 578987
20.1 1.0149 1.0214 418597
基本上,"open"和"close"列已除以"prev"列中的值.
Basically, columns 'open' and 'close' have been divided by the value from column 'prev.'
我能够做到
df['open'] = list(map(lambda x,y: x/y, df['open'],df['prev']))
df['close'] = list(map(lambda x,y: x/y, df['close'],df['prev']))
我想知道是否有更简单的方法?尤其是如果仍然有10列要被相同值除以?
I was wondering if there is a simpler way? Especially if there are like 10 columns to be divided by the same value anyways?
推荐答案
df2[['open','close']] = df2[['open','close']].div(df2['prev'].values,axis=0)
输出:
prev open close volume
0 20.77 1.004815 0.956668 962816
1 19.87 1.001007 0.984399 668076
2 19.56 1.020450 1.027607 578987
3 20.10 1.014925 1.021393 418597
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