Drop rows with 0 values pandas multiple rows. df. Mar 26, 2014 · I can use pandas dropna() functionality to remove rows with some or all columns set as NA's. 3 Python 24000. The following pandas. So, by using iloc you can select the rows you want. index) This will output: name age city 3 Linda 45. You can drop rows in the dataframe based on specific conditions. df['line_race']==0]. Python# im Mar 27, 2024 · # Reset index df = pd. Another method to remove rows with specific values in a Pandas DataFrame is to use the drop function. Pandas provide data analysts a way to delete and filter data frame using dataframe. Selecting rows based on particular column value using '>', '=', '=', '<=', '!=' operator. column_name. reset_index() print(df1) 4. sample_pandas Dec 4, 2024 · # Drop rows with indices 1 and 3 (Bob and David) df_dropped_multiple_rows = df. col_1 is 1. 0 DataFrame after removing rows with missing State: Customer State Purchase 0 John Smith California 250. Jul 2, 2020 · In this article, we are going to see several examples of how to drop rows from the dataframe based on certain conditions applied on a column. Create a list of all the elements in column1 and keep only those elements that are even numbers (the elements that you dont want to drop) keep_elements = [x for x in df. DataFrame is used as an example. pandas: Remove NaN (missing values) with dropna() pandas: Find and remove duplicate rows of DataFrame, Series; The sample code in this article is based on pandas version 2. , rows or columns), and whether or not to modify the original DataFrame in place. May 14, 2021 · You can use the following syntax to drop one row from a pandas DataFrame by index number: #drop first row from DataFrame df = df. 0 1 Maria Garcia Texas 180. I want to drop rows where df. Jun 5, 2025 · Usage of Pandas Drop Rows Based on Column Value. This function allows us to remove rows or columns based on their labels or positions. DataFrame. The function takes in several parameters, including the labels to drop, the axis (i. Next, you'll learn how to drop rows with conditions. One of the common tasks in Pandas is to drop rows in a DataFrame based on a specific value. all(axis=1) 0 True 1 False 2 True 3 False 4 False dtype: bool Finally filter out rows from data frame based on the condition pandas. The df. df[df['amount_spent'] != 0] May 6, 2024 · In this article, I have explained how to drop the rows by index from Pandas DataFrame using index labels and index position with the help of iloc[], and drop() functions with examples. In this article, we demonstrated how to drop rows with all zeros in a Pandas DataFrame using a simple example. To delete the columns, we specify the axis value as 1. For example: Let us consider a sample dataframe and drop a row and column: Python Jan 14, 2020 · How to drop rows with ALL zero values but not zeros WITH non zero values. 5. 0 NaN 4 James 30. By default, the axis is 0 which means that the rows are deleted by default. drop (index=[0, 1, 3]) Aug 8, 2023 · See the following articles about removing missing values (NaN) and rows with duplicate elements. 0 NaN NaN Delete Rows Based on Multiple Column Values Output: # Drop rows based on multiple May 19, 2025 · Original DataFrame with missing values: Customer State Purchase 0 John Smith California 250. We can use this method to drop such rows that do not satisfy the given conditions. For example, you can drop rows where the column value is greater than X and less than Y. column_name!= value] You can use the following syntax to drop rows in a pandas DataFrame that contain any value in a certain list: #define values values = [value1, value2, value3, ] #drop rows that contain any value in the list df = df[df. 0 2 Robert Johnson None 340. e. Jul 10, 2023 · Method 2: Using the drop Function. In this article, we will explore the different methods of dropping rows based […] Mar 29, 2013 · an example where the range you want to drop is indexes between x and y which I have set to 0 and 10. In this section we will learn how to drop or delete the row in python pandas by index, delete row by condition in python pandas and drop rows by position. inplace=True -> this will modify original dataframe df. Pandas: drop row if more than one of multiple columns is zero. 0 and df. Clean your DataFrame effectively. 1. Drop rows with multiple specific values Jan 24, 2023 · In this article, we will discuss how to drop rows that contain a specific value in Pandas. Nov 29, 2020 · This syntax can be used to view (index) a DataFrame based on a given condition: # View whole DataFrame where `amount_spent` is not zero. drop (labels = None, *, axis = 0, index = None, columns = None, level = None, inplace = False, errors = 'raise') [source] # Drop specified labels from rows or columns. index -> This will find the row index of all 'line_race' column having value 0. Code #1 : Selecting all the rows from the given dataframe in which 'Percentage' is greater than 80 using basic method. Delete Last Row From Pandas DataFrame; Pandas Drop Rows with NaN Values in DataFrame; Pandas Drop List of Rows From DataFrame. May 28, 2025 · The drop() function in the Python pandas library is useful for removing specified rows or columns from a DataFrame or Series. May 14, 2021 · #drop rows that contain specific 'value' in 'column_name' df = df[df. index so to remove selection from dataframe Jun 22, 2023 · If you want to drop rows based on certain conditions, you can use Boolean indexing. Method 1: Drop the specific value by using Operators. Jun 19, 2023 · By using the drop() method with the axis parameter, we can easily remove rows that contain all zeros in a Pandas DataFrame. For instance, let's drop all rows where age is less than 30. Dec 13, 2012 · A boolean series for all rows satisfying the condition Note if any element in the row fails the condition the row is marked false (df > 0). Adding more explanation here. drop(df[df['age'] < 30]. 0 Houston. You can Mar 22, 2022 · No, the iloc selects the rows you want. Is there an equivalent function for dropping rows with all columns having value 0? P kt b tt mky Nov 6, 2024 · Explore effective techniques for dropping rows with all zero values in a Pandas DataFrame to improve data analysis. If you notice by default drop() method returns the copy of the DataFrame after removing rows, but if you want to update the existing DataFrame, use inplace=True the parameter. Example 4: Dropping Columns Using a List of Column Names. Nov 29, 2018 · Drop rows on multiple conditions in pandas dataframe. loc[x:y] selecting the index . Jan 18, 2018 · I am dropping rows from a PANDAS dataframe when some of its columns have 0 value. How to Drop Rows with Multiple Conditions in Pandas. column1 if x%2==0] All the rows with the values [2, 4, 6, 8, 10] in its column1 will be retained or not dropped. isin (values Jun 1, 2021 · This is how you can drop rows after a specific index. 0 3 Sarah Williams New York NaN 4 David Brown Florida 420. I got the output by using the below code, but I hope we can do the same with less code — perhaps in a single line. 0 3 Sarah Feb 19, 2024 · Name Age 0 Alice 25 2 Charlie 35 This code creates a pandas DataFrame with a column ‘Age’ and then filters out rows where ‘Age’ is less than 18 before printing the result. We can use this function to remove all rows that contain the specific value we want to remove. Apr 15, 2018 · I want to drop rows with zero value in specific columns >>> df salary age gender 0 10000 23 1 1 15000 34 0 2 23000 21 1 3 0 20 0 4 28500 Aug 11, 2013 · This indeed is correct answer using in data search and drop. Drop a List of Rows From DataFrame inplace. Selecting and dropping is the kinda same thing! If you select the rows you want, you are actually dropping the rows you do not want. drop (index= 0) And you can use the following syntax to drop multiple rows from a pandas DataFrame by index numbers: #drop first, second, and fourth row from DataFrame df = df. – Dec 4, 2024 · Since drop works for both columns and rows we have to specify the axis. May 19, 2025 · Learn 5 practical ways to drop rows in Pandas: by index, condition, missing values, duplicates, and using the query method. Dropping Rows in a Pandas DataFrame Based on a Specific Value Pandas is a very popular Python library for data manipulation and analysis. col_2 is 0. Nov 27, 2024 · Let’s see how to Select rows based on some conditions in Pandas DataFrame. drop () function. Happy Learning !! Related Articles. 0. x=0 # could change x and y to a start and end date y=10 df. loc[x:y]. drop([2,4]). drop() function, which removes rows based on the index, is used here to discard rows failing the age condition. 3. Remove rows or columns by specifying label names and corresponding axis, or by directly specifying index or column names. Dropping a row in pandas is achieved by using . DataFrame(technologies) df1 = df. We can use the column_name function along with the operator to drop Feb 2, 2013 · Lets drop all the rows which has an odd number in column1. drop# DataFrame. drop() method. Dropping rows means removing values from the dataframe we can drop the specific value by using conditional or relational operators. values) in the place of tuples which seems messy. drop([1, 3]) print(df_dropped_multiple_rows) Output: Name Age City 0 Alice 25 New York 2 Charlie 35 Chicago In this case, both rows with indices 1 and 3 (Bob and David) are removed from the DataFrame. This only works if tuples is an array/list of tuples right? Is that because the main dataframe becomes multi-indexed and needs tuples? For example, if the "tuples" is actually 2 columns in a second DataFrame, the only way I could think of was to extract them with something like ((x, y) for x, y in df2[['A', 'B']]. selecting just the locations between 0 and 10 to see the rows to confirm before removing . Let's say we want to drop all rows where 'age' is NaN or 'city' is 'Los Angeles'. when you use inplace=True param, DataFrame returns None instead of DataFrame. xnco kjzevoi qiywscj zylaml pkux rzeyzz gkirzg ttz ulfyox ldqoq