/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

0 vote228 views1 answer
Mysql.connector.errors.InterfaceError: Failed executing the operation; Not all parameters were used in the SQL statement
Python
8 votes195 views4 answers
Check cuda version python
Python
0 vote191 views1 answer
ValueError: query data dimension must match training data dimension
Python
317 votes623 views5 answers
Font awesome cdn bootstrap
Python
6 votes200 views2 answers
Pad zeros to a string python
Python
2 votes192 views1 answer
How to move the pointer on screen using python
Python
0 vote239 views2 answers
Flask lazy response style with `make_response`
Python Flask
0 vote191 views2 answers
Loading bar
Python
0 vote191 views1 answer
Return the key-value pairs in this RDD to the master as a dictionary.
Python
4 votes188 views2 answers
Nested in python
Python