python - Outputting results as a table in pandas -


i have dataset follows:

print(df)  name      points    attempts 'alex'      2          4 'brian'     1          2 'cathy'     3          5 'daniel'    5          7

let's have code of form

for name in df:     if points > 2:         grade = 'pass'     else:         grade = 'fail'      average_points = points/attempts     attempts_left = 10 - attempts

and trying achieve here output table (in pandas dataframe) of form

name        grade    average_points    attempts_left 'alex'      fail          0.5               6 'brian'     fail          0.5               8 'cathy'     pass          0.6               5 'daniel'    pass          0.71              3

problem is, unsure of return/append functions should employ in code. also, aware may simpler add columns in original dataset 'grade', 'average_points' , 'attempts_left', approach not work in case raw data more complicated working example above.

any appreciated. thanks!

you vectorize operations , use assign 

in [839]: df.assign(attempts_left=10 - df.attempts,      ...:           average_points=df.points / df.attempts,      ...:           grade=np.where(df.points > 2, 'pass', 'fail')) out[839]:        name  points  attempts  attempts_left  average_points grade 0    'alex'       2         4              6        0.500000  fail 1   'brian'       1         2              8        0.500000  fail 2   'cathy'       3         5              5        0.600000  pass 3  'daniel'       5         7              3        0.714286  pass

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