Use pandas DataFrame.astype(int) and DataFrame.apply() methods to cast float column to integer(int/int64) type. I believe you would know float is bigger
You can useDataFrame.astype(int)orDataFrame.apply()method to convert a column to int (float/string to integer/int64/int32 dtype) data type. If you are converting float, you would know float is bigger than int type, and converting into int would lose any value after the decimal. Advertisem...
Method 1 : Convert float type column to int using astype() method Here we are going to convert the float type column in DataFrame to integer type usingastype()method. we just need to passintkeyword inside this method. Syntax: dataframe['column'].astype(int) where, dataframe is the input ...
Data types of the columns of the said DataFrame: attempts int64 name object qualify object score float64 dtype: object Now change the Data type of 'score' column from float to int: attempts name qualify score 0 1 Anastasia yes 12 1 3 Dima no 9 2 2 Katherine yes 16 3 3 James no 12...
Int Float Object Boolean DatetimeConverting entire pandas dataframe to integersAll these data types can be converted into some other data types using the astype() method. This method is used when we want to convert the data type of one single column or a series, but if we want to convert ...
Convert Integer to Float in pandas DataFrame Column in Python Introduction to PythonAt this point, you should know how to convert integers in lists to floats in Python. Don’t hesitate to let me know in the comments if you have additional questions and/or comments.This...
6)Example 5: Convert pandas DataFrame Column from Integer to Float Using to_numeric() Function 7)Video, Further Resources & Summary Let’s jump right to the examples. Example Data & Add-On Libraries First, we have to import thepandas libraryto Python: ...
The default returndtypeisfloat64orint64depending on the supplied data. Notice that the values in the integer columns got converted toint64and the values in the float columns got converted tofloat64. You can also use theDataFrame.info()method to verify that the values have been converted to in...
After using to_numeric() function x int64 y int64 dtype: object In the above code, the apply() function is used along with the to_numeric() function on the given DataFrame to convert multiple columns into int at once. Further reading: Pandas convert column to float Read more → Get ...
In SQL, it is common to store data in different formats like VARCHAR, INT, FLOAT, etc. based on the needs of the application. However, sometimes we may need to convert a VARCHAR column to an INT for performing arithmetic operations, comparisons or other logical queries that require integer ...