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

0 vote222 views1 answer
How to run a yaml file
Python
1 vote291 views1 answer
_set in django
Python Django
24 votes244 views6 answers
Remove last element from list python
Python
10 votes248 views4 answers
Opencv resize image
Python
3 votes249 views1 answer
Application of stack python
Python
0 vote254 views1 answer
Pillow python update image
Python
0 vote244 views3 answers
Mechanize python fill
Python
2 votes250 views2 answers
Get a liste from a txt file python
Python
0 vote230 views1 answer
Tuple parameter function python is None
Python
4 votes275 views2 answers
Convert array to dataframe python
Python