I want to use get_dummies()
with more than a coulmn. ( 'CabinNumber', 'Name'
contain strings ) when i delete one of them and use xtr = pd.get_dummies(x['Name']) my code works
I tried everything in this answer . However i could not get my code to work.
x = df.loc[df['Price'].notnull(), ['Age','Fee', 'Size','Class','CabinNumber', 'Name' ]]
I tried:
xtr = pd.get_dummies(data=x, columns=['CabinNumber', 'Name'])
I tried:
xtr = pd.get_dummies(df.loc[df['Price'].notnull(), ['Age','Fee', 'Size','Class','CabinNumber', 'Name' ]])
I tried replicating your code and mine works fine.
data = {'a': ['foo', 'buzz'], 'b':['cookie', 'milk'], 'Price': ['super',
...: 'duper']}
x = df.loc[df['Price'].notnull(), ['a', 'b']]
>>> a b
0 foo cookie
1 buzz milk
xtr = pd.get_dummies(data=x, columns = x.columns)
xtr
>>> a_buzz a_foo b_cookie b_milk
0 0.0 1.0 1.0 0.0
1 1.0 0.0 0.0 1.0
Edit: You could also do this as per the thread you linked
pd.concat([pd.get_dummies(x[col]) for col in x], axis=1, keys=x.columns)
Pandas version=0.24.2, assume your original dataframe = df
dfdummies = pd.get_dummies(data=df,columns=['Gender','Designation'])
It performs the creation of dummy variables and also concat data to original dataframe.So, no need to add extra line for concatenation or merging.
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.