Spevify datatype of column

You have four main options for converting types in pandas:

to_numeric() - provides functionality to safely convert non-numeric types (e.g. strings) to a suitable numeric type. (See also to_datetime() and to_timedelta().)

astype() - convert (almost) any type to (almost) any other type (even if it's not necessarily sensible to do so). Also allows you to convert to categorial types (very useful).

infer_objects() - a utility method to convert object columns holding Python objects to a pandas type if possible.

convert_dtypes() - convert DataFrame columns to the "best possible" dtype that supports pd.NA (pandas' object to indicate a missing value).

Similar codes

1 vote285 views1 answer
Python turn non printable character to escape string
Python
2 votes340 views2 answers
Get query param in django
Python Django
5 votes310 views3 answers
Correlation python
Python
16 votes304 views6 answers
Django forms
Python
0 vote297 views1 answer
Python vergleichsoperatoren
Python
18 votes260 views2 answers
Python string append character
Python
0 vote298 views1 answer
Python polyfit with errors
Python
2 votes294 views2 answers
Moving average numpy
Python
2 votes305 views1 answer
Append one column pandas dataframe
Python
0 vote331 views1 answer
Running code once in a while loop python
Python