将多个Pandas DataFrame列设置为单个列中的值或同时设置多个标量值 [英] set multiple Pandas DataFrame columns to values in a single column or multiple scalar values at the same time

问题描述

我试图将多个新列设置为一个列，并分别将多个新列设置为多个标量值.也不能做.除了单独设置每个，还有其他方法吗?

I'm trying to set multiple new columns to one column and, separately, multiple new columns to multiple scalar values. Can't do either. Any way to do it other than setting each one individually?

df=pd.DataFrame(columns=['A','B'],data=np.arange(6).reshape(3,2))
df.loc[:,['C','D']]=df['A']
df.loc[:,['C','D']]=[0,1]

推荐答案

for c in ['C', 'D']:
    df[c] = d['A']

df['C'] = 0
df['D'] = 1

这篇关于将多个Pandas DataFrame列设置为单个列中的值或同时设置多个标量值的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！