Hi Sarah
On 2015-02-07 16:56:22, Sarah Mount 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 t
if you notice we use matplotlib as our plotting library - it has great docs
for how to label a scatterplot and a thriving community!
http://stackoverflow.com/questions/5147112/matplotlib-how-to-put-individual-tags-for-a-scatter-plot
On Sat, Feb 7, 2015 at 8:17 PM, Sarah Mount wrote:
> Hi,
>
> O
Hi,
On Sun, Feb 8, 2015 at 1:11 AM, Ronnie Ghose wrote:
>
> lots of examples!
>
> http://scikit-learn.org/stable/auto_examples/index.html#decomposition
>
>
Yes, but I couldn't see an example there that labelled the plot in the way
that I described.
Sarah
> On Sat, Feb 7, 2015 at 7:56 PM, Sar
lots of examples!
http://scikit-learn.org/stable/auto_examples/index.html#decomposition
On Sat, Feb 7, 2015 at 7:56 PM, Sarah Mount wrote:
> Hi there,
>
> This question relates to Pandas and visualisation as well ask sklearn, so
> apologies if I am asking on the wrong list.
>
> I have a dataset
