Pandas: Difficulty converting DataFrame column types after applying complex filtering
I'm having a hard time understanding After trying multiple solutions online, I still can't figure this out. After trying multiple solutions online, I still can't figure this out. I'm trying to filter a DataFrame based on certain conditions and then convert the filtered results into specific data types. However, I'm running into issues where the column types do not convert as expected, leading to unexpected behavior when performing calculations later on. Here's a simplified version of my DataFrame: ```python import pandas as pd data = { 'id': [1, 2, 3, 4], 'value': [10.5, 20.1, 30.0, 40.5], 'category': ['A', 'B', 'A', 'C'] } df = pd.DataFrame(data) ``` I want to filter this DataFrame to only include rows where the 'category' is 'A' and then convert the 'value' column to integers after filtering: ```python filtered_df = df[df['category'] == 'A'] filtered_df['value'] = filtered_df['value'].astype(int) ``` After running this, I noticed that the values in the 'value' column don’t convert properly, and I receive a warning: ``` SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame ``` As a result, the 'value' column remains as floats instead of integers. I've also tried using `.loc` to explicitly set the values, but I still encounter the same warning and the types do not change as expected: ```python filtered_df.loc[:, 'value'] = filtered_df['value'].astype(int) ``` I would appreciate any guidance on how to properly filter the DataFrame and ensure the data type conversion works as intended without running into the `SettingWithCopyWarning`. Also, is there a better way to approach this kind of operation in Pandas to avoid these types of issues? I'm using Pandas version 1.5.0. I'm working on a service that needs to handle this. I'd really appreciate any guidance on this. For context: I'm using Python on Ubuntu. Is there a better approach? I'm using Python 3.10 in this project. This is for a desktop app running on Ubuntu 20.04. Any advice would be much appreciated.