Pandas provide data analysts a way to delete and filter data frame using
.drop() method. Rows can be removed using index label or column name using this method.
DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’)
labels: String or list of strings referring row or column name.
axis: int or string value, 0 ‘index’ for Rows and 1 ‘columns’ for Columns.
index or columns: Single label or list. index or columns are an alternative to axis and cannot be used together.
level: Used to specify level in case data frame is having multiple level index.
inplace: Makes changes in original Data Frame if True.
errors: Ignores error if any value from the list doesn’t exists and drops rest of the values when errors = ‘ignore’
Return type: Dataframe with dropped values
Now, Let’s create a sample dataframe
Example #1: Delete a single Row in DataFrame by Row Index Label
Example #2: Delete Multiple Rows in DataFrame by Index Labels
Example #3: Delete a Multiple Rows by Index Position in DataFrame
Example #4: Delete rows from dataFrame in Place
- Python | Delete rows/columns from DataFrame using Pandas.drop()
- How to Drop Rows with NaN Values in Pandas DataFrame?
- Drop rows from Pandas dataframe with missing values or NaN in columns
- Drop a list of rows from a Pandas DataFrame
- Drop rows from the dataframe based on certain condition applied on a column
- How to Drop rows in DataFrame by conditions on column values?
- How to get rows/index names in Pandas dataframe
- Get minimum values in rows or columns with their index position in Pandas-Dataframe
- Select Rows & Columns by Name or Index in Pandas DataFrame using [ ], loc & iloc
- Convert given Pandas series into a dataframe with its index as another column on the dataframe
- Drop columns in DataFrame by label Names or by Index Positions
- How to drop one or multiple columns in Pandas Dataframe
- How to Find & Drop duplicate columns in a Pandas DataFrame?
- Python | Pandas Index.drop()
- How to randomly select rows from Pandas DataFrame
- Get all rows in a Pandas DataFrame containing given substring
- Different ways to iterate over rows in Pandas Dataframe
- Selecting rows in pandas DataFrame based on conditions
- How to iterate over rows in Pandas Dataframe
- Sorting rows in pandas DataFrame
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.