How can I remove under age rows from this data set?
Original dataset
ID age
xqd26543231 12
xqd22222231 29
xqd88823231 64
What I tried?
#remove under age users
eligibleAge = myDataFrame['Age']>18
myDataFrame['Age'] = myDataFrame[eligibleAge]
Unexpected result
ID age
xqd26543231 xqd26543231
xqd22222231 xqd22222231
xqd88823231 xqd88823231
What I expect
ID age
xqd22222231 29
xqd88823231 64
I think you can just do myDataFrame = myDataFrame[myDataFrame['Age']>18]
In your code, myDataFrame['Age'] = myDataFrame[eligibleAge]
right side has different length as left size you are assigning to, and also you are assigning a dataframe onto a serie.
You can use df.query
here.
df.query('age>18')
ID age
1 xqd22222231 29
2 xqd88823231 64
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.