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

21 votes125 views8 answers
Translator
Python
0 vote123 views1 answer
Dict to attr python
Python
14 votes122 views4 answers
Python split every character in string
Python
0 vote120 views2 answers
Try catch python with open
Python
9 votes154 views2 answers
Django delete instance
Python Django
0 vote126 views1 answer
Run julia in p;ython
Python
0 vote130 views1 answer
Python display name plot
Python
11 votes124 views2 answers
Use regex python without re
Python
2 votes127 views5 answers
Python xml parser
Python
0 vote124 views1 answer
Tensorflow turn off gpu
Python