MaiaVictor MaiaVictor - 1 year ago 193
Python Question

How do I remove rows from a dataframe?

I'm trying to remove outliers from a dataset. In order to do that, I'm using:

df = df[df.attr < df.attr.mean() + df.attr.std()*3]

That seems to work as expected, but, when I do something like:

for i in xrange(df.shape[0]):
print df.attr[i]

Then I get a
. Seems like Pandas isn't actually returning a new
with rows dropped. How do I actually remove those rows, and get a fully functional

wwl wwl
Answer Source

First, find the indices which meet the criteria (which in your case is df.attr < df.attr.mean() + df.attr.std()*3).

x = df.loc[:,attr] < df.attr.mean() + df.attr.std()*3

Next, use DataFrame.drop.


See answers such as How to drop a list of rows from Pandas dataframe? for more information

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