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 vote337 views1 answer
How to know the length of a dataset tensorflow
Python
1 vote356 views1 answer
Test Speed internet using Python
Python
-1 vote391 views1 answer
Print something after sec python
Python
4 votes264 views2 answers
Attributeerror: module 'tensorflow' has no attribute 'session'
Python
3 votes325 views4 answers
How to convert comma separated string to list in python
Python
0 vote375 views1 answer
Drop columns pyspark
Python
0 vote327 views1 answer
Install python3 centos 7.8
Python
0 vote317 views1 answer
Increment dic with for loop
Python
0 vote317 views0 answer
Python
0 vote347 views1 answer
Treat NaN as a category
Python