I've been using Pandas data frames with scikit-learn for months without any
issues. Under the hood a Pandas column is a Series object which I believe
inherits from a Numpy type. If that doesn't work, consider adding ".values" to
the column specification like mydataframe['my column'].values
Of course, it might not be that simple depending on the vectorizer you are
using.
-- Ryan
From: Rob Zinkov <[email protected]<mailto:[email protected]>>
Reply-To:
"[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Date: Saturday, November 16, 2013 3:16 PM
To:
"[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Subject: Re: [Scikit-learn-general] How to vectorize columns in a Pandas
dataframe?
You probably want
https://github.com/paulgb/sklearn-pandas<https://urldefense.proofpoint.com/v1/url?u=https://github.com/paulgb/sklearn-pandas&k=ZVNjlDMF0FElm4dQtryO4A%3D%3D%0A&r=LFCGodllV6ePSYKIg3GW5g%3D%3D%0A&m=gy8rLt9gmgupzj%2BYwgLKXIsUQkAXZndtDy7ZHpG9M7w%3D%0A&s=41951884941524d8ac261328796fa967c0b300109b50b5578a1810f8f2332107>
this is will convert pandas dataframes into something sklearn likes.
On Sat, Nov 16, 2013 at 5:11 PM, Josh Wasserstein
<[email protected]<mailto:[email protected]>> wrote:
Say I have a dataframe in Pandas like the following:
> my_dataframe
col1, col2
A foo
B bar
C something
A foo
A bar
B foo
How can I vectorize this efficiently using DictVectorizer ?
Do I need to convert each entry above to a full dictionary? Is there a more
efficient way to do this?
Thanks,
Josh
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