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This video shows how to add columns from Data Frames in the Pandas library for Python. If you find this video useful, like, share and subscribe to support the channel! ► Subscribe: https://www.youtube.com/c/DataDaft?sub_confirmation=1 Code used in this Python Code Clip: import pandas as pd import statsmodels.api as sm #(To access mtcars dataset) mtcars = sm.datasets.get_rdataset("mtcars", "datasets", cache=True).data mtcars.head() # Add row to end of data frame with df.append() row = mtcars.loc["Volvo 142E",] mtcars = mtcars.append(row) mtcars.tail() # Add a new row by assignment with index name mtcars.loc["NEW_CAR"] = [0,1,2,3,4,5,6,7,8,9,10] mtcars.tail() # Insert row at given position # Construct a row to insert as a data frame row_values = [12,35,46,27,28,24,23,13,64,34,64] insert_row = pd.DataFrame({v: row_values[k] for k, v in enumerate(mtcars.columns)}, index = ["Insert_Car"]) # Choose an insertion index insert_index = len(mtcars.index)-2 # Use indexing to append rows mtcars = mtcars.iloc[:insert_index,].append([insert_row, mtcars.iloc[insert_index:,]]) mtcars.tail() * Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large ＜ and ＞ symbols in place of the standard sized ones. . ⭐ Kite is a free AI-powered coding assistant that integrates with popular editors and IDEs to give you smart code completions and docs while you’re typing. It is a cool application of machine learning that can also help you code faster! Check it out here: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=datadaft&utm_content=description-only Key Highlights & Overview: Mastering <strong>Python Pandas Insert Row To Dataframe</strong> is essential for modern technical workflows and software skills. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.