Hi Sarah
On 2015-02-07 16:56:22, Sarah Mount <mount.sa...@gmail.com> wrote:
> df_no_strings = df.drop("Sample", axis=1, inplace=False) pca =
> PCA(n_components=4) pca.fit(df_no_strings) print("Explained
> variance:", pca.explained_variance_) df_reduced =
> pca.fit_transform(df_no_strings)
>
> I want to plot the results of performing PCA as a scatter plot,
> similarly to Figure 3 on Page 10 of this document:
>
> http://www.dacapobench.org/dacapo-TR-CS-06-01.pdf
>
> Is there an easy way to do this, given that I have lost the
> first column of the data frame?
If I understand correctly, you can grab the "sample" column and
use it to add custom labels to your data-points:
http://stackoverflow.com/questions/5147112/matplotlib-how-to-put-individual-tags-for-a-scatter-plot
Regards
Stéfan
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