如何从数值数据中删除非数值数据？

Question

I want to remove non-numeric data from numerical data. My dataframe has 720000 rows and 11 columns and there is one column which has this type of data

id1080784

id0889885

id0857912

id3744273

id0232939.....

I want to remove the 'id' word from all of these rows. Please share your suggestions in Python only.

Thanks!

Answer 1

One method is that you can use str replace. And just replace 'id' with nothing.

import pandas as pd
col = pd.DataFrame(['id1080784', 'id0889885', 'id0857912', 'id3744273'])
col[0] = col[0].str.replace('id','')