11 янв. 2018 г. · If you need to handle non-existent column names, the df.filter function provides a cleaner and shorter syntax than the .loc[:, df.columns.isin()] syntax ...

20 авг. 2021 г. · I want to find columns in a dataframe that match a string pattern. I specifically want to find two parts, firstly find a column that contains "WORDABC".

9 нояб. 2019 г. · I have a list of columns with the following names (using df.columns.values). I would like to filter out only the columns that contain the value 'EUR'.

16 мая 2022 г. · I want to filter such that I only get the columns where the second entry of the tuple is == 'A'. So that when I do pd.dataframe().columns, I get

30 мар. 2022 г. · I want to select some columns by name, like selection = df[['Name', 'Qualification']] and some columns by a filter like selection = df.filter(regex=("Level.*"))

8 мар. 2018 г. · I am working with a DataFrame that contains a large set of columns. I would like to be able to select a subset of columns that follow a given pattern.

3 июн. 2021 г. · I want to create two lists with column names where one list contains column names with negative values and another one with column names with positive values.

8 апр. 2021 г. · If you have a list of valid columns you can just use df.filter(cols_subset, axis=1) to drop everything else. You could use a regex to also ...

7 сент. 2017 г. · If it's always the last column you can just do last_col = df.columns[-1]. You can also rename this using rename :

15 февр. 2021 г. · I would like to use the simplicity of pandas dataframe filter but using multiple LIKE criteria. I have many columns in a dataframe that I would like to ...