列处理——归一化

基于pandas

all_columns = list(food_info.columns.values)
#the first two columns don't need to be normalized
all_columns = all_columns[2:len(all_columns)]
for column in all_columns:
    food_info[column] = food_info[column] / food_info[column].max()

 输入：dataframe；输出：dataframe with some column being normalized

posted on 2016-01-13 23:26  arsh  阅读(695)  评论(0)  编辑  收藏  举报

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