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 vote343 views1 answer
Raise TypeError('expected ' + str(self.expected_type)) TypeError: expected <class 'openpyxl.styles.colors.Color'>
Python
0 vote317 views1 answer
Convert_text_to_hexadecimal_viva.py in python
Python
0 vote397 views1 answer
RuntimeError: cannot open featureclass in python
Python
0 vote339 views1 answer
What is sklearn.base
Python
8 votes298 views2 answers
Syntaxerror: eol while scanning string literal
Python
0 vote295 views1 answer
Pandas plot heatmap
Python
8 votes304 views1 answer
Python transfer file
Python
2 votes351 views1 answer
Flask session timeout
Python
0 vote355 views1 answer
Get opnly second part of multiindex
Python
3 votes317 views1 answer
How to change window size in kivy python
Python