我应该如何从数据框中删除特殊字符（空格除外）

Question

I am reading excel file (specific one sheet), it looks very much like this. I would like to remove all the numbers, underscore and hyphens under 'Org' columns. Output under 'Org' should be ddc systems and so on.

  Name      Org
0   abc   14_ddc_-_systems
1   sdc   14_ddc_-_systems
2   csc   14_ddd_-_systems
3   rdc   23_kbf_org
4   rfc   23_kbf_org

I tried below to remove numbers but it's not working ..

s = sheet1['Org'].head()
s = s.replace('\d+\s', '')

Any help will be appreciated.!

Answer 1

You can use str.replace with regex.

Ex:

import pandas as pd

df = pd.DataFrame({"Org": ["14_ddc_-_systems", "14_ddc_-_systems", "23_kbf_org"]})
df["New"] = df["Org"].str.replace(r"[^a-zA-Z ]+", " ").str.strip()
print(df)

Output:

                Org          New
0  14_ddc_-_systems  ddc systems
1  14_ddc_-_systems  ddc systems
2        23_kbf_org      kbf org