Append Multiple pandas DataFrames in Python (Example) | Concat, Add, Combine & Union Data Vertically

How to concatenate three or more pandas DataFrames in the Python programming language. More details: https://statisticsglobe.com/append-mu... Python code of this video: import pandas as pd # Import pandas library data1 = pd.DataFrame({"x1":["y", "y", "x", "y"], # Create first pandas DataFrame "x2":range(0, 4), "x3":["a", "b", "c", "d"], "x4":range(4, 0, - 1)}) print(data1) # Print first pandas DataFrame data2 = pd.DataFrame({"x1":["a", "b", "a"], # Create second pandas DataFrame "x2":range(101, 104), "x3":["x", "x", "x"], "x4":range(104, 101, - 1)}) print(data2) # Print second pandas DataFrame data3 = pd.DataFrame({"x1":["z", "zz", "zzz", "zzzz", "zzzzz"], # Create third pandas DataFrame "x2":range(10, 15), "x3":["xxxxx", "xxxx", "xxxx", "xx", "x"], "x4":range(15, 10, - 1)}) print(data3) # Print third pandas DataFrame data_all3 = pd.concat([data1, data2, data3], # Append three pandas DataFrames ignore_index = True, sort = False) print(data_all3) # Print combined DataFrame Follow me on Social Media: Facebook – Statistics Globe Page:   / statisticsglobecom   Facebook – Group for Discussions & Questions:   / statisticsglobe   LinkedIn – Statistics Globe Page:   / statisticsglobe   LinkedIn – Group for Discussions & Questions:   / 12555223   Twitter:   / joachimschork   Music by bensound.com