/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

1 vote142 views1 answer
Python remove read only file
Python
3 votes176 views1 answer
Python list of random float numbers
Python
2 votes173 views4 answers
How to mention someone discord.py
Python
0 vote176 views1 answer
Python format seconds to hh mm ss
Python
3 votes266 views2 answers
Django radio button
Python Django
2 votes185 views2 answers
Programm the fibonacci sequence
Python
0 vote179 views1 answer
Max sum slice python 1 - autopilot
Python
0 vote185 views1 answer
Mechanize python #10
Python
0 vote235 views1 answer
Multiprocessing map
Python
0 vote192 views2 answers
5.2.5: Counting 10 to 100 by ...
Python