Pandas How to Drop All Columns Except Specific Ones
Example 2 Drop All Columns Except Specific Ones Using loc We can also use the loc function to drop all columns in the DataFrame except the ones called points and blocks drop all columns except points and blocks df df loc points blocks view updated DataFrame print df points blocks 0 18 1 1 22 0 2 19 0 3 14 3 4 14 2 5 11 2 6
Pandas DataFrame drop pandas 2 1 4 documentation, DataFrame drop labels None axis 0 index None columns None level None inplace False errors raise source Drop specified labels from rows or columns Remove rows or columns by specifying label names and corresponding axis or by directly specifying index or column names When using a multi index labels on different levels can be
Drop columns whose name contains a specific string from pandas DataFrame
In recent versions of pandas you can use string methods on the index and columns Here str startswith seems like a good fit To remove all columns starting with a given substring df columns str startswith Test array True False False False df loc df columns str startswith Test toto test2 riri 0 x x x 1 x x x For case
Drop columns from Pandas dataframe if they are not in specific list , Jun 13 at 13 36 Add a comment 28 You could use a list comprehension creating all column names to drop final table columns id name year df df drop columns col for col in df if col not in final table columns To do it in place df drop columns col for col in df if col not in final table columns inplace True
How to Exclude Columns in Pandas With Examples Statology
How to Exclude Columns in Pandas With Examples Statology, The following code shows how to select all columns except one in a pandas DataFrame 0 25 5 11 2 1 12 7 8 3 2 15 7 10 3 3 14 9 6 5 4 19 12 6 3 5 23 9 5 2 6 25 9 9 1 7 29 4 12 2 select all columns except rebounds and assists df loc df columns
Pandas Drop Columns From A Dataframe
How to Drop One or More Pandas DataFrame Columns datagy
How to Drop One or More Pandas DataFrame Columns datagy How to Drop Multiple Pandas Columns by Names When using the Pandas DataFrame drop method you can drop multiple columns by name by passing in a list of columns to drop This method works as the examples shown above where you can either Pass in a list of columns into the labels argument and use index 1
Drop One Or More Columns From Pyspark DataFrame Data Science Parichay
1 Answer Sorted by 1 you can just keep the n th by indexing it explicitly df df df columns n n 1 note range notation to make sure you get a dataframe not a series the index column will naturally stay in df Share Improve this answer Drop all columns from data frame except index and nth. To select all columns except one in a pandas DataFrame you can use the df drop method Here s how you can do it df drop b axis 1 This code will drop the column b from the DataFrame df and it returns a DataFrame with all other columns The axis 1 parameter specifies that you are dropping a column By default df drop does not modify the original DataFrame it returns a new Pandas Drop Columns from Dataframe using df loc Method In this example Drop columns between specific column names as below code uses Pandas to create a DataFrame from a dictionary and then removes all columns between column names B and D using the drop method with axis 1 The modified DataFrame is not assigned back to any
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