/Python/Convert all columns to float pandas

Convert all columns to float pandas

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).

Read on for more detailed explanations and usage of each of these methods.

Convert dataframe to float

df["data"] = df["data"].astype(float)

Source: app.dataquest.io

Convert dataframe column to float

df["col"] = df["col"].astype(float)

Source: app.dataquest.io

Similar codes

47 votes209 views6 answers
Today date python
Python
91 votes230 views6 answers
Create virtual environment python
Python
0 vote252 views1 answer
Import external script in django views
Python Django
0 vote242 views1 answer
Python merge csv files in same folder
Python
4 votes241 views1 answer
What is cleaned data in django
Python
0 vote223 views2 answers
Python3 conditional with boolean
Python
0 vote212 views1 answer
Codegrepper is cool
Python
1 vote215 views1 answer
Write specific columns to csv pandas
Python
15 votes232 views1 answer
How to run a .exe through python
Python
0 vote222 views1 answer
Counter python time complexity
Python