mgaughan/mw-lifecycle-analysis
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trying to look at the pca_plot 3

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mgaughan 2025-09-02 16:04:06 -05:00
parent dc23065cc8
commit a36226eab9
3 changed files with 20 additions and 2 deletions
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p2/quest/biber_pca_affil.png Normal file
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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 15:53:08 CDT 2025 starting the job at: Tue Sep 2 16:02:22 CDT 2025
setting up the environment setting up the environment
running the neurobiber labeling script running the neurobiber labeling script
job finished, cleaning up job finished, cleaning up
job pau at: Tue Sep 2 15:53:21 CDT 2025 job pau at: Tue Sep 2 16:02:32 CDT 2025

18
p2/quest/python_scripts/neurobiber_PCA.py
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@ -5,6 +5,7 @@ import pandas as pd
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import seaborn as sns
def format_df_data(df): def format_df_data(df):
@ -33,3 +34,20 @@ if __name__ == "__main__":
plt.colorbar() plt.colorbar()
plt.savefig("090225_biber_pca_plot.png", dpi=300) plt.savefig("090225_biber_pca_plot.png", dpi=300)
plot_df = pd.DataFrame({
"PC1": biber_vecs_pca[:, 0],
"PC2": biber_vecs_pca[:, 1],
"AuthorWMFAffil": biber_vec_df["AuthorWMFAffil"].astype(str)
})
plt.figure(figsize=(8,6))
sns.scatterplot(
data=plot_df, x="PC1", y="PC2", hue="AuthorWMFAffil",
palette="tab10", s=40, alpha=0.7, edgecolor=None
)
plt.xlabel('component 1')
plt.ylabel('component 2')
plt.legend(title='AuthorWMFAffil', bbox_to_anchor=(1.05, 1), loc=2)
plt.tight_layout()
plt.savefig("biber_pca_affil.png", dpi=300)
plt.show()