The following is the syntax: df.drop(cols_to_drop, axis=1) Here, cols_to_drop the is index or column labels to drop, if more than one columns are to be dropped it should be a list. To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. Required fields are marked *. How to Drop Columns with NaN Values in Pandas DataFrame? Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. We can use this method to drop such rows that do not satisfy the given conditions. Pandas DataFrame drop() is a very useful function to drop unwanted columns and rows. In this article we will discuss how to delete rows based in DataFrame by checking multiple conditions on column values. Let’s use this do delete multiple rows by conditions. Approach 1: How to Drop First Row in pandas dataframe To remove the first row you have to pass df. Created: December-23, 2020 . Removing a row by index in DataFrame using drop () Pandas df.drop () method removes the row by specifying the index of the DataFrame. You can use the pandas dataframe drop() function with axis set to 1 to remove one or more columns from a dataframe. df =... (2) Drop multiple rows by index. df[df.name != 'Tina'] Drop a row by row number (in this case, row 3) Note that Pandas uses zero based numbering, so 0 is the first row, 1 is the second row, etc. Reset the index of the DataFrame, and use the default one instead. Let’s drop the row based on index … Index or column labels to drop. Suppose we want to delete the first two rows i.e. How to Drop rows in DataFrame by conditions on column values? Python Pandas : Drop columns in DataFrame by label Names or by Index Positions, Python Pandas : How to Drop rows in DataFrame by conditions on column values, Python Pandas : How to add rows in a DataFrame using dataframe.append() & loc[] , iloc[], Pandas : Sort a DataFrame based on column names or row index labels using Dataframe.sort_index(), Pandas: Sort rows or columns in Dataframe based on values using Dataframe.sort_values(), Python Pandas : How to get column and row names in DataFrame, Python Pandas : Count NaN or missing values in DataFrame ( also row & column wise), Python: Add column to dataframe in Pandas ( based on other column or list or default value), Select Rows & Columns by Name or Index in DataFrame using loc & iloc | Python Pandas, How to Find & Drop duplicate columns in a DataFrame | Python Pandas, Pandas : Drop rows from a dataframe with missing values or NaN in columns, Python Pandas : How to convert lists to a dataframe, Pandas : Find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicated() in Python, Pandas: Find maximum values & position in columns or rows of a Dataframe, Pandas Dataframe: Get minimum values in rows or columns & their index position, Pandas : 4 Ways to check if a DataFrame is empty in Python, Python Pandas : Replace or change Column & Row index names in DataFrame, Pandas: Apply a function to single or selected columns or rows in Dataframe, Pandas : How to create an empty DataFrame and append rows & columns to it in python, Pandas : count rows in a dataframe | all or those only that satisfy a condition, Pandas : Convert Dataframe column into an index using set_index() in Python, Pandas : Convert Dataframe index into column using dataframe.reset_index() in python. 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