Categories Python Answers How to select multiple columns in a Python Pandas dataframe? Post author By John Au-Yeung Post date March 26, 2022 No Comments on How to select multiple columns in a Python Pandas dataframe? Spread the love To select multiple columns in a Python Pandas dataframe, we can use df.loc. For instance, we write df.loc[:, 'C':'E'] to select all columns between 'C' and 'E' inclusive. Related Posts How to select multiple columns in a Python Pandas dataframe?To select multiple columns in a Python Pandas dataframe, we pass in an array of… How to combine two columns of text in a Python Pandas dataframe?To combine two columns of text in a Python Pandas dataframe, we get the values… How to shuffle python Pandas DataFrame rows?To shuffle python Pandas DataFrame rows, we call the data frame sample method. For instance,… By John Au-Yeung Web developer specializing in React, Vue, and front end development. View Archive → ← How to easily share a sample dataframe using df.to_dict() with Python Pandas? → How to create a cartesian product in Python Pandas? Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment * Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Current ye@r * Leave this field empty