How to Convert Float to Int in a Pandas DataFrame [All Method]️
![How to Convert Float to Int in a Pandas DataFrame [All Method]️](https://howisguide.com/wp-content/uploads/2022/02/How-to-Convert-Float-to-Int-in-a-Pandas-DataFrame-All-Method.png)
Are you looking for an easy guide on How to Convert Float to Int in a Pandas DataFrame. What should you do if you come across a code error! Let’s get started on fixing it.
Question: What is the best solution for this problem? Answer: This blog code can help you solve errors How to Convert Float to Int in a Pandas DataFrame. Question: What is causing this error and what can be done to fix it? Answer: Check out this blog for a solution to your problem.
How can we cast a float
to an int
in a Pandas DataFrame column?
Cast with astype()
We can use astype()
to cast a Pandas object to a specified data type.
Suppose we have a column col
that is of type float
. We want to convert that to an int
type.
We can do this like so.
df['col'] = df['col'].astype(int)
Handle null
values
The above approach will lead to an error if there are any missing or null
values.
ValueError: Cannot convert NA to integer
In these cases, we’ll have to fill in the missing values. Let’s default any missing values to 0.0
.
df['col'] = df['col'].fillna(0.0).astype(int)
Revise the code and make it more robust with proper test case and check an error there before implementing into a production environment.
If you have any questions or get stuck, please dont hesitate to reach out to me for help.