I have two columns in one data frame 'first name' and 'preferred name'. If the preferred name is different to first name, I want to move that value to first name. eg:
First Name Preferred Name
1 David Dave
2 John John
3 Sarah Sarah
4 Elizabeth Liz
First Name Preferred Name
1 Dave Dave
2 John John
3 Sarah Sarah
4 Liz Liz
slightly impatient, so i did it the 'ugly' way. queried the data for indices where names are different, and then added them on those values
name_index = df[df['first name'] != df['preferred name']]
df.ix[name_index,'first name'] = df.ix[name_index,'preferred name']
The simpliest is only assign as pointed EdChum :
df['first name'] = df['preferred name']
print (df)
first name preferred name
1 Dave Dave
2 John John
3 Sarah Sarah
4 Liz Liz
You can first create boolean
mask where difference and then add new values by loc
or by mask
:
mask = df['first name'] != df['preferred name']
df.loc[mask, 'first name'] = df['preferred name']
print (df)
first name preferred name
1 Dave Dave
2 John John
3 Sarah Sarah
4 Liz Liz
Another solution:
mask = df['first name'] != df['preferred name']
df['first name'] = df['first name'].mask(mask,df['preferred name'])
print (df)
first name preferred name
1 Dave Dave
2 John John
3 Sarah Sarah
4 Liz Liz
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.