'How to split integers that contains strings, such as 73101P

import pandas as pd
d = {'element': ['COGS', 'Other current assets', 'COGS','COGS', 'Other current assets', 'COGS'], 'account_number': ['5721-ES', '1101', '5721-ESP', '73101L', '73230K', '11106' ]}
df = pd.DataFrame(data=d)
df

I need only the numbers without letters for converting them to numeric values afterwards.

However, I can't split these integers for instance 73101K

df.account_number = df.account_number.apply(lambda x: x.split('-')[0])
stringsplitinteger


Solution 1:[1]

You can use findall() that finds every digit (\d) and then join it together afterwards:

df["account_number"] = (
    df["account_number"].str.findall(r"\d").str.join(sep="").astype(int)
)
print(df)

Prints:

                element  account_number
0                  COGS            5721
1  Other current assets            1101
2                  COGS            5721
3                  COGS           73101
4  Other current assets           73230
5                  COGS           11106

Sources

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Source: Stack Overflow

Solution Source
Solution 1 Andrej Kesely

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