Dropping multiple columns from a dataframe

Get Free GPT4o from https://codegive.com
to drop multiple columns from a pandas dataframe in python, you can use the `drop()` method with the `columns` parameter. here is a step-by-step tutorial on how to do this:

1. import the pandas library:


2. create a sample dataframe:


3. drop multiple columns using the `drop()` method:


in this example, we have created a dataframe with columns 'a', 'b', 'c', and 'd'. we then specified a list of columns ('b' and 'd') that we want to drop using the `drop()` method with the `columns` parameter. the resulting dataframe `df_dropped` will have columns 'a' and 'c' only.

you can also drop columns based on their index by passing the index position instead of column names.

remember to assign the result back to a variable if you want to keep the changes in the original dataframe.

i hope this tutorial helps! let me know if you have any questions or need further clarification.

...

#python columns of dataframe
#python columns rename
#python columns contains string
#python columns to rows
#python columnspan

python columns of dataframe
python columns rename
python columns contains string
python columns to rows
python columnspan
python columns names
python columns
python columns to list
python columns have mixed types
python columns function
python dataframe rename column
python dataframe add column
python dataframe groupby
python dataframe to dictionary
python dataframe to list
python dataframe
python dataframe append
python dataframe to csv