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I've been searching around for a while now, but I can't seem to find the answer to this small problem.

I have some data, as follows

name     address     age         total_money
joko      china      56      4,5430012000007E+63
feni      korea      35      3,6000016489732E+90
rani     kamboja     54      1,470001179997E+133

and the data type each columns is:

name           3     non-null    object
address        3     non-null    object
age            3     non-null    int64
total_money    3     non-null    object

how to convert data type of total_money column to number/int because i want use the column for arithmetic operations

and I'm trying to convert data type

df = df.astype({'total_money': 'int64'})

but i get error:

OverflowError: int too big to convert

how to handle the problem?

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1 Answer 1

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2

The problem here is that your numbers are too big to be converted to int. Check this:

In [832]: df['total_money'].str.replace(',', '').astype(float).apply(lambda x: int(x))
Out[832]: 
0    4543001200000699948639040706606013103072417429...
1    3600001648973199763250405754747849609902640529...
2    1470001179997000081335562311854682630184495860...
Name: total_money, dtype: object

If you need an int representation of the values, I suggest you do the above. But the column dtype is still object.

If you'll try to convert this into int, you would get error:

OverflowError: Python int too large to convert to C long

This is because your numbers are exceeding the maxsize allowed by Python:

In [834]: import sys

In [835]: sys.maxsize
Out[835]: 9223372036854775807

So the suggestion would be to convert this into float:

In [837]: df['total_money'].str.replace(',', '').astype(float)
Out[837]: 
0     4.543001e+76
1    3.600002e+103
2    1.470001e+145
Name: total_money, dtype: float64

EDIT after OP's comment on arithmetic operations:

In [840]: df['total_money'].str.replace(',', '').astype(float).apply(lambda x: int(x))/ 1000000000000000000000000000000000000000000000000000
Out[840]: 
0                         45430012000006996125286400.0
1    3600001648973199969342672855872140055708849674...
2    1470001179997000080464234076318923714804535550...
Name: total_money, dtype: object
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7 Comments

the resulting data type is float? how if i want to generate an int?
@NikenAmelia You can't convert it into int. Check my answer for explanation.
Yes, you should be able to perform arithmetic operations. Check the last part of my answer.
No, it's just an example I took to show you that arithmetic operations are working.
@NikenAmelia the real question is, why would you absolutely want integers?
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