I new to Python and I'm therefore having trouble converting a row in a DataFrame into a flat list. To do this I use the following code: Toy DataFrame: import pandas as pd d = { "a": [1, 2, 3, 4, 5], "b": [9, 8, 7, 6, 5], "n": ["a", "b", "c", "d", "e"] } df = pd.DataFrame(d) My code: df_note = df.loc[df.n == "d", ["a", "b"]].values #convert to array df_note = df_note.tolist() #convert to nested list df_note = reduce(lambda x, y: x + y, df_note) #convert to flat list To me this code appears to be both gross and inefficient. The fact that I convert to an array before a list is what is causing the problem, i.e. the list to be nested. That withstanding, I can not find a means of converting the row directly to a list. Any advice? This question is not a dupe of this. In my case, I want the list to be flat. Continue reading...