Nov 16, 2012 · Pandas version 0.21 has changed the drop method slightly to include both the index and columns parameters to match the signature of the rename and reindex methods.

Jan 20, 2015 · df = df.drop('column_name', axis=1) where 1 is the axis number (0 for rows and 1 for columns.) To delete the column without having to reassign df you can do:

Sep 29, 2013 · I have a pandas dataframe with the following column names: Result1, Test1, Result2, Test2, Result3, Test3, etc... I want to drop all the columns whose name contains the word "Test".

Jul 4, 2018 · 17 The recommended way to delete a column or row in pandas dataframes is using drop. To delete a column,

Jul 4, 2019 · 41 I have a pandas dataframe and it has some columns. I want to drop columns if they are not presented at a list. pandas dataframe columns:

6 I'm aware that dropping a dataframe's columns should be as easy as: df.drop(df.columns[1], axis=1) to drop by index or dr.dropna(axis=1, how='any') to drop based on if it contains NaN s. But neither of …

Jul 17, 2017 · Pandas: drop columns with all NaN's Asked 8 years, 5 months ago Modified 2 years, 11 months ago Viewed 263k times

23 I have a pandas DataFrame, with many NAN values in it. How can I drop columns such that number_of_na_values > 2000? I tried to do it like that:

To delete multiple columns at the same time in pandas, you could specify the column names as shown below. The option inplace=True is needed if one wants the change affected column in the same …

30 How do I keep certain columns in a pandas DataFrame, deleting everything else? The answer to this question is the same as the answer to "How do I delete certain columns in a pandas DataFrame?" …