Filtering by rows / filtering a column with multiple arguments

[ghost]

Hey guys ,

So i ve got a dataset looking like this:

I want to filter it, by keeping only the rows where LAT is one of this ([34. , 34.05, 34.1 , 34.15, 34.2 , 34.25, 34.3 , 34.35, 34.4 ,
34.45, 34.5 , 34.55, 34.6 , 34.65, 34.7 , 34.75, 34.8 , 34.85,
34.9 , 34.95, 35. , 35.05, 35.1 , 35.15, 35.2 , 35.25, 35.3 ,
35.35, 35.4 , 35.45, 35.5 , 35.55, 35.6 , 35.65, 35.7 , 35.75,
35.8 , 35.85, 35.9 , 35.95, 36. , 36.05, 36.1 , 36.15, 36.2 ,
36.25, 36.3 , 36.35, 36.4 , 36.45, 36.5 ])

Any ideas how to do that?

This doesnt work : /
Best Regards

[JovanVeljanoski]

Hey!

Would something like this work

list_of_values = [34. , 34.05, 34.1 , 34.15, 34.2 , 34.25, 34.3]  # Add as many as you need
df_2 = df[df.LAT.isin(list_of_values)]

aside:
The example that you should at the end, there are few potential things wrong:

• you probably want to use the "or" operator | (since LAT can't simultaneously be 34 AND 34.05
• be mindful of types (are your values string or float etc.).

[ghost]

Jovan,

Big thanx! : )

BR
John