python - multiple if else conditions in pandas dataframe and ...
stackoverflow.com › questions › 48569166Feb 1, 2018 · multiple if else conditions in pandas dataframe and derive multiple columns. I have a dataframe like below. import pandas as pd import numpy as np raw_data = {'student': ['A','B','C','D','E'], 'score': [100, 96, 80, 105,156], 'height': [7, 4,9,5,3], 'trigger1' : [84,95,15,78,16], 'trigger2' : [99,110,30,93,31], 'trigger3' : [114,125,45,108,46]} df2 = pd.DataFrame (raw_data, columns = ['student','score', 'height','trigger1','trigger2','trigger3']) print (df2)
Python if statements with multiple conditions (and + or) · Kodify
kodify.net › python › if-elseSep 6, 2019 · To test multiple conditions in an if or elif clause we use so-called logical operators. These operators combine several true/false values into a final True or False outcome (Sweigart, 2015). That outcome says how our conditions combine, and that determines whether our if statement runs or not. We evaluate multiple conditions with two logical operators (Lutz, 2013; Python Docs, n.d.):