Hello,

I have this code here, but I get errors for trying to make it Float when I use Jupyter Notebook for the data science course.

I need to use the astype() function of the DataFrame to convert these MPG columns to float (see coding below).

new_df['City MPG'] = new_df['City MPG'].astype("float")new_df['Hwy MPG'] = new_df['Hwy MPG'].astype(float)new_df['Cmb MPG'] = new_df['Cmb MPG'].astype(float)

It says this:

It says: A value is trying to be set on a copy of a slice from a DataFrame.Try using .loc[row_indexer,col_indexer] = value instead

But I don't know how to edit my code to their requirement, and I would like your help with this.

Here is the screenshot of the original error.

In [49] : 1 new df [ 'City MPG' ] = new_df [ 'City MPG' ] . astype ( "float") 2 new df [ ' Hwy MPG' ] = new_df [ 'Hwy MPG' ] . astype (float) W new_df [ ' Cmb MPG' ] = new_df [ ' Cmb MPG' ] . astype (float) :1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using . loc[row_indexer, col_indexer] = value instead See the caveats in the documentation: https: / /pandas . pydata.org/pandas-docs/stable/user_guid e/indexing . html#returning-a-view-versus-a-copy new_df [ 'City MPG' ] = new_df [ 'City MPG' ] . astype ( "float") :2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using . loc[row_indexer, col_indexer] = value instead See the caveats in the documentation: https : / /pandas . pydata. org/pandas-docs/stable/user_guid e/indexing . html#returning-a-view-versus-a-copy new_df [ 'Hwy MPG' ] = new_df [ 'Hwy MPG' ] . astype (float) :3: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using . loc[row_indexer, col_indexer] = value instead See the caveats in the documentation: https: / /pandas . pydata. org/pandas-docs/stable/user_guid e/indexing . html#returning-a-view-versus-a-copy new_df [ ' Cmb MPG' ] = new_df [ 'Cmb MPG' ] . astype (float)