[英]Meaning of "y = df['something'].apply(lambda x: 1 if x== 'yes' else 0)"
This Syntax is the second line after uploading a csv file by pandas library and get_dummies drop, i want to understand this syntax better in order to make use of it thank !这个语法是通过 pandas 库和 get_dummies 上传 csv 文件后的第二行,我想更好地理解这个语法以便使用它谢谢!
y = df['something'].apply(lambda x: 1 if x== 'yes' else 0)
Your code means:您的代码意味着:
y = df['something'].apply(lambda x: 1 if x== 'yes' else 0)
Test values in column something
and return 1 if match yes
else return 0 in new Series
in variable y
.测试
something
列中的值, yes
匹配则返回 1,否则在变量y
的新Series
中返回 0。
Btw, vectorized solution is:顺便说一句,矢量化解决方案是:
#return Series
y = (df['something'] == 'yes').astype(int)
#return 1d array
y = np.where(df['something']== 'yes', 1, 0)
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