[英]python 2 equivalent to get_dummies with pandas df
I am seeking clarity as to why my code cannot access specific column values using dummie values using the following example data: 我正在寻求有关为什么我的代码无法使用以下示例数据使用dummie值访问特定列值的明确说明:
df
shop category subcategory season
date
2013-09-04 abc weddings shoes winter
2013-09-04 def jewelry watches summer
2013-09-05 ghi sports sneakers spring
2013-09-05 jkl jewelry necklaces fall
Here is my basic code: 这是我的基本代码:
wedding_df = df[["weddings","winter","summer","spring","fall"]]
I'm using Python 2 with my notebook, so it very well may be a version issue and require get_dummies()
, but some guidance would be helpful. 我在笔记本电脑上使用的是Python 2,因此很可能是版本问题,需要
get_dummies()
,但是一些指导会有所帮助。 Idea is to create a dummy dataframe that uses binary to say if a row had a wedding category and what season. 想法是创建一个虚拟数据框,该数据框使用二进制数据来说明某行是否具有婚礼类别以及什么季节。
Here is an example of what I'm looking to achieve: 这是我要实现的示例:
weddings winter summer spring fall
71654 1.0 0.0 1.0 0.0 0.0
72168 1.0 0.0 1.0 0.0 0.0
72080 1.0 0.0 1.0 0.0 0.0
with corr()
: 用
corr()
:
weddings fall spring summer winter
weddings NaN NaN NaN NaN NaN
fall NaN 1.000000 0.054019 -0.331866 -0.012122
spring NaN 0.054019 1.000000 -0.857205 0.072420
summer NaN -0.331866 -0.857205 1.000000 -0.484578
winter NaN -0.012122 0.072420 -0.484578 1.000000
You can try using prefix
and prefix_sep
assign them to blank , then you are able to df[["weddings","winter","summer","spring","fall"]]
您可以尝试使用
prefix
和prefix_sep
将其分配为blank,然后就可以df[["weddings","winter","summer","spring","fall"]]
df = pd.get_dummies(df,prefix = '', prefix_sep = '' )
df
abc def ghi jkl jewelry sports weddings necklaces shoes \
date
2013-09-04 1 0 0 0 0 0 1 0 1
2013-09-04 0 1 0 0 1 0 0 0 0
2013-09-05 0 0 1 0 0 1 0 0 0
2013-09-05 0 0 0 1 1 0 0 1 0
sneakers watches fall spring summer winter
date
2013-09-04 0 0 0 0 0 1
2013-09-04 0 1 0 0 1 0
2013-09-05 1 0 0 1 0 0
2013-09-05 0 0 1 0 0 0
Update 更新
pd.get_dummies(df.loc[df['category']=='weddings',['category','season']],prefix = '', prefix_sep = '' )
Out[820]:
weddings winter
date
2013-09-04 1 1
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