I have a DataFrame df
with many column values like so:
index Column1
0 [data1]
1 [data2]
2 [data3]
3 [data4]
4 [data5]
5 [data6]
I am looking for a simple Pandas or NumPy command to convert it to a DataFrame like this:
index Column1
0 data1
1 data2
2 data3
3 data4
4 data5
5 data6
Currently I am doing:
df[Column1] = [each[0] for each in df[Column1]]
but this would require me to loop through all the columns.
You can use the str
accessor to get the element out of the list:
df['Column1'] = df['Column1'].str[0]
For instance:
>>> df
Column1
0 [item1]
1 [item2]
2 [item3]
>>> df['Column1'].str[0]
0 item1
1 item2
2 item3
The primary use of str
is to open up a column or Series to Pandas' vectorised string operations, but it can also be useful if the values in the column are Python lists.
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.