convert pandas dataframe from float to int

Certainly! Converting Pandas DataFrame columns from float to integer type can be necessary when you want to work with whole numbers or integers for specific operations or to reduce memory usage. Here's a tutorial that demonstrates how to achieve this using Python's Pandas library.
Let's create a sample DataFrame with float columns.
Output:
To convert specific columns from float to int, you can use the astype() method of Pandas DataFrame.
Output:
This tutorial has shown how to convert specific columns from float to integer in a Pandas DataFrame using the astype() method.
You can apply this method to multiple columns or the entire DataFrame by iterating through the columns or using list comprehension.
Always be mindful of your data and the implications of converting float to int to ensure you do not lose any valuable information during the process.
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