如何消除熊猫中的行

Question

this is a beginner question, but I could not find the answer to this particular problem anywhere.

I am trying to graph two values using matplotlib, I have have a CSV table, and I am using Pandas to manipulate it. When trying to graph I get "Key error, not in index".

This is because some the values in my table are missing. So I say

df = df.dropna()

I have two values I am trying to graph v_d and v_a. The problem is that some of the "N/A" or missing values may be missing from the v_a row but not from v_d row.

I do not know how to completely delete a row if any of the values are missing, and then rearrange my df so that there are no holes or gaps. Basically to remove all rows that have any missing data in v_d or v_a, and then shuffle then slide the remaining rows to take their spots.

I believe this would prevent me from getting the key error.

EDIT: for more information in response to my question

Here is specifically what I am trying to plot

df.plot.scatter(x = df.v_d[df.V > 0.1], xlim=[-500,500] , y = df.v_a[df.V > 0.1] , ylim=[-500,500])

where V is another quantity I defined

When I try to plot this I get a key error not in index - I was assuming it was because some of my values of v_d and v_a are n/a

What I really wanted to know, and could not find in the documentation for drop.na() is how to drop a row completely if any value in the row is null.

Answer 1

I figured out what I needed to do

df = df[np.isfinite(df['v_d'])]

etc ...

posting this solution in case anyone else has this problem.