Drop Rows that Contain Values in a List
By using this method we can drop multiple values present in the list, we are using isin() operator. This operator is used to check whether the given value is present in the list or not
Syntax: dataframe[dataframe.column_name.isin(list_of_values) == False]
where
- dataframe is the input dataframe
- column_name is to remove values in this column
- list_of_values is the specific values to be removed
Python3
# import pandas moduleimport pandas as pd# create dataframe with 4 columnsdata = pd.DataFrame({ "name": ['sravan', 'jyothika', 'harsha', 'ramya', 'sravan', 'jyothika', 'harsha', 'ramya', 'sravan', 'jyothika', 'harsha', 'ramya'], "subjects": ['java', 'java', 'java', 'python', 'python', 'python', 'html/php', 'html/php', 'html/php', 'php/js', 'php/js', 'php/js'], "marks": [98, 79, 89, 97, 82, 98, 90, 87, 78, 89, 93, 94]})# consider the listlist1 = [98, 82, 79]# drop rows from above listprint(data[data.marks.isin(list1) == False])print("---------------")list2 = ['sravan', 'jyothika']# drop rows from above listprint(data[data.name.isin(list2) == False]) |
Output:
How to Drop Rows that Contain a Specific Value in Pandas?
In this article, we will discuss how to drop rows that contain a specific value in Pandas. Dropping rows means removing values from the dataframe we can drop the specific value by using conditional or relational operators.
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