One can eliminate pandas dataframe rows using the content of a specific column by using the .loc[] method with a Boolean condition that evaluates to True for the rows that need to be eliminated.
For example, if we have a dataframe df with a column 'A' and we want to eliminate all rows where the value of 'A' is 'x', we can use the following code:
df = df.loc[df['A'] != 'x']
This will create a new dataframe that only contains rows where the value of 'A' is not equal to 'x'.
Asked: 2021-06-29 11:00:00 +0000
Seen: 9 times
Last updated: Nov 02 '22