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trying to look at the pca_plot 1

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mgaughan 2025-09-02 15:50:47 -05:00
parent d97b6e141c
commit b8c12f987b
3 changed files with 4 additions and 3 deletions
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p2/quest/090225_biber_pca_plot.png
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4
p2/quest/neurobiber-pca.log
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@ -1,5 +1,5 @@
starting the job at: Tue Sep 2 15:34:49 CDT 2025
starting the job at: Tue Sep 2 15:49:08 CDT 2025
setting up the environment
running the neurobiber labeling script
job finished, cleaning up
job pau at: Tue Sep 2 15:35:35 CDT 2025
job pau at: Tue Sep 2 15:49:52 CDT 2025

3
p2/quest/python_scripts/neurobiber_PCA.py
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@ -16,6 +16,7 @@ def format_df_data(df):
if __name__ == "__main__":
biber_vec_df = pd.read_csv("/home/nws8519/git/mw-lifecycle-analysis/p2/quest/072525_pp_biberplus_labels.csv", low_memory=False)
biber_vec_df = biber_vec_df[biber_vec_df['comment_type'] == 'task_description']
biber_vecs = format_df_data(biber_vec_df)
#handoff to PCA model
pca = PCA(2)
@ -23,7 +24,7 @@ if __name__ == "__main__":
#first looking at comment_type
le = LabelEncoder()
colors = le.fit_transform(biber_vec_df['phase'])
colors = le.fit_transform(biber_vec_df['source'])
plt.scatter(biber_vecs_pca[:, 0], biber_vecs_pca[:, 1],
c=colors, edgecolor='none', alpha=0.5, cmap="viridis")