Question

import pandas as pd

df = pd.DataFrame([[1,2,3],[1,5,9],[2,1,5],[9,2,8]], index = [1,2,3], columns = ['A','B','C', 'D'])

假设我有一个像df这样的数据帧。我想比较df中的所有行如果df ['A']＆gt; df ['B']和df ['B']＆lt; df ['C']和df ['B']＆gt; df ['D']，然后，如果为真，则df ['E'] ='是'或'否'为假。非常感谢

Answer 1

您的数据帧不可重现，请检查错误。我在这里创建了一个类似的数据帧。

Classes = dict()
Classes["FALL14"] = ("ENGR","156","01",'Engineering 3'),("ENGR","156","01",'Engineering 4'),("SCI","156","01",'Chemistry 1'),("ENGL","156","01",'Writing 1')
Classes['SPRING15'] =("ENGL","156","01",'Writing 2'),("MATH","156","01",'Calculus 1'),("MATH","156","01",'Calculus 2'),("MATH","156","01",'Calculus 3')
Classes['FALL15'] =("MATH","156","01",'Differential Equations'),("ENGR","156","01",'Solid Works'),("ENGR","156","01",'MATLAB'),("ENGR","156","01",'Dynamics')
Classes['SPRING16'] = ("ENGR","156","01",'Statics'),("ART","156","01",'Drawing 1'),("ENGR","156","01",'Fluid Dynamics'),("ENGR","156","01",'Thermodynamics 1')

for semester, information in Classes.items():   
    for classes in information:
         if 'ENGR' in classes:
                 print classes

您可以像这样添加E列：

df = pd.DataFrame({'A': [1,2,10], 'B': [1,5,5], 'C': [2,1,7], 'D': [9,2,4]})

它提供了所需的输出。

检查if中的多个条件的数据帧列（逐行）

1 个答案: