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I have the following DataFrame:

line_date daysago line_race rating  rw  wrating 

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 0 64 0.134800 8.627219 

2005-12-06 542 0 70 0.117803 8.246238 

2005-11-29 549 0 70 0.113758 7.963072 

2005-11-22 556 0 -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 0 -1 0.083063 -0.083063 

2005-09-07 632 0 -1 0.075171 -0.075171 

2005-06-12 719 0 69 0.048690 3.359623 

2005-05-29 733 0 -1 0.045404 -0.045404 

2005-05-02 760 0 -1 0.039679 -0.039679 

2005-04-02 790 0 -1 0.034160 -0.034160 

2005-03-13 810 0 -1 0.030915 -0.030915 

2004-11-09 934 0 -1 0.016647 -0.016647

I need to remove the rows where line_race is equal to 0. What's the most efficient way to do this?

1 Answer

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by (50k points)

To deleting DataFrame row in Pandas based on column value. You can simply use the below-mentioned code:

df = df[df.line_race != 0]

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