0

How do I transform the following code

list_of_things = [0,1,2,3,4...]

df = df[df.line_race != 0]

and make it dynamic by transforming the data frame if the value in line_race is in the list list_of_things I know I can easily achieve this using a loop but I would rather not if it can be helped.

            daysago  line_race rating        rw    wrating
 line_date                                                 
 2007-03-31       62         11     56  1.000000  56.000000
 2007-03-10       83         11     67  1.000000  67.000000
 2007-02-10      111          9     66  1.000000  66.000000
 2007-01-13      139         10     83  0.880678  73.096278
 2006-12-23      160         10     88  0.793033  69.786942
 2006-11-09      204          9     52  0.636655  33.106077
 2006-10-22      222          8     66  0.581946  38.408408
 2006-09-29      245          9     70  0.518825  36.317752
 2006-09-16      258         11     68  0.486226  33.063381
 2006-08-30      275          8     72  0.446667  32.160051
 2006-02-11      475          5     65  0.164591  10.698423
 2006-01-13      504          0     70  0.142409   9.968634
 2006-01-02      515          1     64  0.134800   8.627219
 2005-12-06      542          2     70  0.117803   8.246238
 2005-11-29      549          0     70  0.113758   7.963072
 2005-11-22      556          1     -1  0.109852  -0.109852
 2005-11-01      577          0     -1  0.098919  -0.098919
 2005-10-20      589          0     -1  0.093168  -0.093168
 2005-09-27      612          1     -1  0.083063  -0.083063
 2005-09-07      632          0     -1  0.075171  -0.075171
 2005-06-12      719          1     69  0.048690   3.359623
 2005-05-29      733          3     -1  0.045404  -0.045404
 2005-05-02      760          0     -1  0.039679  -0.039679
 2005-04-02      790          2     -1  0.034160  -0.034160
 2005-03-13      810          1     -1  0.030915  -0.030915
 2004-11-09      934          0     -1  0.016647  -0.016647

1 Answer 1

1

Check

df = df[~df.line_race.isin(list_of_things)]
Sign up to request clarification or add additional context in comments.

Comments

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.