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

5 votes260 views4 answers
Data normalization python
Python
34 votes257 views2 answers
Python create nested directory
Python
0 vote276 views1 answer
Re module documentation
Python
0 vote245 views1 answer
Poision in chinese
Python
2 votes263 views2 answers
Python tkinter projects
Python
1 vote262 views1 answer
How does urllib.parse.urlsplit work in python
Python
0 vote248 views1 answer
Make a function that accepts any nuber of arguments python
Python
55 votes247 views3 answers
Python read values from file
Python
0 vote259 views1 answer
Pyfcm image
Python
1 vote305 views1 answer
Discord.py unmute
Python